CN114689063A - Map modeling and navigation guiding method, electronic device and computer program product - Google Patents

Abstract

The embodiment of the disclosure discloses a map modeling and navigation guiding method, an electronic device and a computer program product, wherein the method comprises the following steps: acquiring map data of a target area; the map data of the target area comprises road network data of a road map and high-precision road network data; fusing the high-precision road network data and the standard road network data to obtain fused data; establishing a regional map model of the target region based on the fusion data; and providing the regional map model of the target region for the navigation terminal to perform navigation guidance on the navigated object in the target region by the navigation terminal. The technical scheme can realize continuous guidance of a plurality of intersections on the same navigation interface, reduces the yaw risk of the navigated object in the navigation process, and improves the navigation experience of the navigated object.

Description

Map modeling and navigation guidance method, electronic device and computer program product

technical field

The present disclosure relates to the technical field of map modeling, in particular to a map modeling and navigation guidance method, an electronic device and a computer program product.

Background technique

In the map modeling scenario, in the prior art, a single intersection or two (generally no more than three) intersections with a relatively close distance are usually modeled on a large map. The large-picture modeling process usually takes the intersection as the center to pick the road. , simplification and modeling, and finally build the refined model of the intersection and the navigation guide line to realize the navigation guidance of the intersection. In the prior art, the large-picture model of the intersection is usually rendered on a separate canvas, and the size of the canvas is less than half of the terminal display screen, and the representation of the intersection is mostly static mode. The canvas area of the large-picture model of the intersection mainly displays roads and intersections. , navigation guidance lines, and road elements, and a limited number of other feature elements can also be added. However, due to the limitation of canvas size and modeling method, the prior art cannot realize continuous guidance of multiple intersections with similar distances.

Therefore, it is necessary to propose a solution that can realize continuous guidance of multiple similar intersections and better modeling effect.

SUMMARY OF THE INVENTION

Embodiments of the present disclosure provide a map modeling and navigation guidance method, an electronic device, and a computer program product.

In a first aspect, an embodiment of the present disclosure provides a map modeling method, including:

Obtain the map data of the target area; the map data of the target area includes the standard road network data and the high-precision road network data;

Fusion of the high-precision road network data and the standard-precision road network data to obtain fusion data;

An area map model of the target area is established based on the fusion data; the area map model of the target area is provided to the navigation terminal, and is used for the navigation terminal to guide the navigation object in the target area.

Further, the method also includes:

Obtain the map data of the non-target area; the map data of the non-target area includes the standard road network data;

An area map model of the non-target area is established based on the Biaojing road network data; the area map model of the non-target area is provided to the navigation terminal for navigating the navigated object by the navigation terminal in the non-target area guide.

Further, the high-precision road network data and the standard-precision road network data are fused to obtain fusion data, including:

Obtain the attributes and geometric features of the roads in the high-precision road network data;

The attributes and geometric features of the roads are mounted to the corresponding roads in the standard road network data to obtain fusion data.

Further, establishing the regional map model of the target area based on the fusion data, including:

For the first area covered by the high-precision road network data in the target area, the fusion data is used for modeling;

For the second area not covered by the high-precision road network data in the target area, the standard road network data is used for modeling;

At the junction of the first area and the second area, the geometric features of the high-precision road network data are used to correct the standard road network data.

In a second aspect, an embodiment of the present invention provides a navigation guidance method, including:

Detect the positioning information of the navigated object;

When it is detected that the positioning information of the navigated object matches the target area, a navigation map is drawn and displayed based on the area map model corresponding to the target area; the area map model corresponding to the target area is pre-based The standard accurate road network data and the high-precision road network data are modeled.

Further, among them, it also includes:

When it is detected that the positioning information of the navigated object matches the non-target area, a navigation map is drawn and displayed based on the area map model corresponding to the non-target area; the area map model corresponding to the non-target area is pre-based on the The standard road network data in the non-target area is modeled.

Further, the target area includes a plurality of continuous intersections; when detecting that the positioning information of the navigated object matches the target area, drawing and displaying a navigation map based on the area map model corresponding to the target area, including:

When it is detected that the positioning information of the navigated object matches the target area, drawing a navigation map including a plurality of continuous intersections based on the area map model corresponding to the target area;

The navigation map is displayed in full screen on the display screen, and the navigation guidance information of the plurality of continuous intersections is also displayed on the navigation map.

In a third aspect, an embodiment of the present invention provides a location-based service providing method, which includes: using the area map model of the target area established by the method described in the first aspect to provide a location-based service for a served object, The location-based services include: one or more of navigation, map rendering, and route planning.

In a fourth aspect, an embodiment of the present invention provides a map modeling apparatus, including:

The first acquisition module is configured to acquire map data of the target area; the map data of the target area includes standard road network data and high-precision road network data;

a fusion module, configured to fuse the high-precision road network data and the standard-precision road network data to obtain fusion data;

The first establishment module is configured to establish an area map model of the target area based on the fusion data; the area map model of the target area is provided to the navigation terminal, and is used for the navigation terminal in the target area. Navigate to guide.

In a fifth aspect, an embodiment of the present invention provides a navigation and guidance device, including:

a detection module, configured to detect the positioning information of the navigated object;

The first display module is configured to draw and display a navigation map based on the area map model corresponding to the target area when it is detected that the positioning information of the navigated object matches the target area; the area map corresponding to the target area The model is modeled in advance based on the standard-precision road network data and the high-precision road network data in the target area.

In a sixth aspect, an embodiment of the present invention provides an apparatus for providing a location-based service, comprising: using the area map model of the target area established by the apparatus described in the fourth aspect to provide a location-based service for a served object, the Location-based services include: one or more of navigation, map rendering, and route planning.

The functions can be implemented by hardware, or can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions.

In a possible design, the structure of the above-mentioned apparatus includes a memory and a processor, the memory is used for storing one or more computer instructions that support the above-mentioned apparatus to execute the above-mentioned corresponding method, and the processor is configured to execute the above-mentioned corresponding method. computer instructions stored in the memory. The above-mentioned apparatus may further include a communication interface for the above-mentioned apparatus to communicate with other devices or a communication network.

In a seventh aspect, an embodiment of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the method described in any one of the foregoing aspects .

In an eighth aspect, an embodiment of the present disclosure provides a computer-readable storage medium for storing computer instructions used by any of the foregoing apparatuses, and the computer instructions are used to implement the method described in any of the foregoing aspects when the computer instructions are executed by a processor.

In a ninth aspect, an embodiment of the present disclosure provides a computer program product, which includes computer instructions, and when the computer instructions are executed by a processor, is used to implement the method described in any one of the foregoing aspects.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

In the embodiment of the present disclosure, an area map model of the target area can be established on the server side in advance for the target area, and the area map model can be modeled based on the combination of the standard road network data and the high-precision road network data in the target area, The server side provides the area map model of the target area to the navigation terminal. After receiving the navigation request of the object being navigated, the navigation terminal can display the map model of the area where the object is currently located based on the positioning information of the object being navigated, and after the object being navigated enters the target area, it can correspond to the target area based on the location information of the object being navigated. The area map model of the navigator guides the navigated object. In the embodiment of the present disclosure, since the regional map model of the target area uses the high-precision road network data in addition to the marked-precision road network data, the continuous guidance of multiple intersections on the same navigation interface can be realized, and the navigation process is reduced. The yaw risk of the navigation object improves the navigation experience of the navigated object.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the attached image:

1 shows a flowchart of a map modeling method according to an embodiment of the present disclosure;

FIG. 2(a) and FIG. 2(b) show a comparison diagram of the display effect between the regional map model and the existing navigation page according to an embodiment of the present disclosure;

FIG. 3 shows a flowchart of a navigation guidance method according to an embodiment of the present disclosure;

FIG. 4 shows a schematic diagram of an intersection guidance scene according to an embodiment of the present disclosure;

Fig. 5 is a block diagram showing the implementation structure of the intersection guidance system in full-screen mode according to an embodiment of the present disclosure;

6 shows a structural block diagram of a map modeling apparatus according to an embodiment of the present disclosure;

FIG. 7 shows a structural block diagram of a navigation guidance device according to an embodiment of the present disclosure;

8 is a schematic structural diagram of an electronic device suitable for implementing a map modeling method, a navigation guidance method and/or a location-based service providing method according to an embodiment of the present disclosure.

Detailed ways

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts unrelated to describing the exemplary embodiments are omitted from the drawings.

In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in this specification and do not exclude one or a combination of Various other features, numbers, steps, acts, components, sections or combinations thereof may exist or be added.

In addition, it should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

The details of the embodiments of the present disclosure will be described in detail below through specific embodiments.

FIG. 1 shows a flowchart of a map modeling method according to an embodiment of the present disclosure. As shown in Figure 1, the map modeling method includes the following steps:

In step S101, the map data of the target area is obtained; the map data includes standard road network data and high-precision road network data;

In step S102, the high-precision road network data and the standard-precision road network data are fused to obtain fusion data;

In step S103, an area map model of the target area is established based on the fusion data; the area map model of the target area is provided to the navigation terminal for the navigation terminal to guide the navigated object in the target area .

In this embodiment, the target area may include a relatively complex navigation guidance area, such as an intersection area, such as a three-way intersection, a roundabout intersection, and multiple consecutive multiple intersections.

When the navigation object passes through the intersection area, the navigation system usually displays an enlarged image of the intersection, which is used to guide the navigation and other actions of the navigation object.

Enlarged junction map refers to a kind of junction indication map that comprehensively presents the junction area after enlarging the junction area, combined with the navigation guide line and other elements of the road. After the three-dimensional model of the area is obtained, the enlarged image of the intersection is obtained by rendering in the navigation terminal. Enlarged map of intersection can be divided into grid map and vector map according to the organization form, and can be divided into single-junction magnified map and multi-junction magnified map according to the number of intersections included.

Usually, the canvas of the existing magnified image of the intersection in the navigation system only occupies a part of the display screen of the navigation terminal. However, limited by the size of the canvas and the modeling method, the enlarged vector intersection map can only cover a single or two relatively close intersections, so it can only present a single or two relatively close intersections, and cannot realize the continuity of multiple intersections. guide.

Therefore, for the above-mentioned target area including multiple continuous intersections or other more complex navigation guidance, the embodiment of the present disclosure establishes an area map model of the target area in advance, and provides the area map model to the navigation terminal, so that the navigation terminal can navigate during the navigation process. , by drawing the regional map model on the display screen of the navigation terminal, and then on the basis of the drawn regional map model, the navigation guide line and other road elements are combined to guide the navigated object.

In this embodiment, during the modeling process, corresponding map data is obtained for the target area, and the map data may include, but is not limited to, standard road network data and high-precision road network data corresponding to the target area. It should be noted that the Biaojing road network data can be road network data with low precision that is usually used by the navigation system in the navigation process, that is, in the normal navigation guidance process, the road information displayed on the navigation page is based on the standard Obtained from the Jinglu network data.

Compared with the standard road network data, the high-precision road network data has higher precision and more detailed representation of ground objects. High-precision road network data not only has high-precision coordinates, but also includes accurate lane shapes, as well as more detailed data such as slope, curvature, heading, elevation, and roll of each lane.

Due to the large amount of data information in the high-precision road network, the data collection is difficult, the storage space occupied, the bandwidth resources occupied during transmission, etc. The map model established based on the Biaojing road network data is used for navigation guidance; in addition, the existing large-image guidance service for intersections in the navigation system is also based on the data of the Biaojing road network. The large picture is used to guide the navigation object by using the large picture of the intersection established by the data of the marked road network.

In the embodiments of the present disclosure, in order to solve the problem in the prior art that the large intersection map established by using the data of the Biaojing Road Network cannot realize the continuous guidance of multiple intersections that are not too close, it is proposed to use the Biaojing Road Network for the target area. A modeling method combining data and high-precision road network data. In this modeling method, the high-precision road network data in the target area is fused into the standard road network data to form fusion data, and then the fusion data is used to build a regional map model of the target area.

The regional map model can be provided to the navigation terminal. After the object to be navigated enters the target area, the navigation terminal can draw the regional map model on the display screen, so that the object to be navigated can intuitively understand the follow-up based on the displayed image of the regional map model. A series of driving actions, it is not easy to yaw.

Compared with the prior art, this embodiment uses a combination of standard road network data and high-precision road network data, so that the target area including multiple intersections can be modeled, so that the regional map model obtained by modeling can be achieved. It can cover multiple intersections, and can realize complex continuous navigation guidance for multiple intersections; it solves the problem that in the prior art, since the large intersection map can only cover one intersection or two intersections with similar distances, the navigated object is in the intersection map. After passing through the first intersection under the guidance of , if there are multiple other intersections, it is impossible to drive correctly through the guidance of the big picture of the intersection, and there is a risk of yaw.

In addition, since the high-precision road network data and the standard road network data in this embodiment are fused, the regional map model of the target area is established by using the fused data, and the regional map model does not need to be drawn using a separate canvas , but can be directly connected with the map model established by the Biaojing road network data of the non-target area, and then displayed in full screen on the display screen of the navigation terminal; therefore, the navigated object can see the information of the lane ahead and the navigation through the display map of the regional map model. At the same time as the guide line, you can also see the road information at a far position ahead.

FIG. 2( a ) and FIG. 2( b ) show a comparison diagram of the display effect between the regional map model and the existing navigation page according to an embodiment of the present disclosure. As shown in Figure 2(a), the regional map model established by using the high-precision road network data and the standard road network data can display more navigation information, including the lane information in front of the road, the lane corresponding to the navigation guide line and Other road elements, etc. However, in the map model established by the Biaojing road network data as shown in Figure 2(b), the lane information cannot be seen, and it is impossible to determine which lane the navigated object should be driving in. The system automatically pops up the big picture of the intersection to know the steering action and other information of the current intersection, but still cannot know the series of driving actions after the current intersection.

In an optional implementation manner of this embodiment, the method further includes:

Obtain the map data of the non-target area; the map data of the non-target area includes the standard road network data;

An area map model of the non-target area is established based on the Biaojing road network data; the area map model of the non-target area is provided to the navigation terminal for navigating the navigated object by the navigation terminal in the non-target area guide.

In this optional implementation manner, the areas where the navigation object is prone to yaw during the navigation process may be statistically analyzed based on historical navigation data, and these areas are determined as target areas. When modeling the target area, an area map model of the target area can be generated based on the combination of the above-mentioned standard road network data and high-precision road network data.

Because the high-precision road network data contains a lot of information, occupies a lot of storage space and transmission bandwidth resources, and the high-precision road network data collection cost is high, if all areas use standard road network data and high-precision road network data. Modeling in a combined way will result in a lot of data to be transmitted during the navigation process, and will also occupy a lot of storage space of the navigation terminal, and the cost of data collection will also be high. Therefore, for the common area, that is, the non-target area, only the standard road network data can be used for modeling, without using the high-precision road network data. The area map model obtained by modeling the non-target area can be provided to the navigation terminal. When the navigation object is in the non-target area, the area map model of the non-target area is used to guide the navigation object.

It should also be noted that, in the existing navigation system, the map model that has been established using the Biaojing road network data basically covers all areas. Therefore, in order to save costs and speed up the process of going online, when implementing the embodiments of the present disclosure, based on the existing navigation system, a corresponding area map model can be established only for the target area, and the area corresponding to the target area The map model is connected with the existing regional map model of the non-target area, and finally a complete map model is obtained.

In an optional implementation manner of this embodiment, step S102, that is, the step of merging the high-precision road network data and the standard-precision road network data to obtain fusion data, further includes the following steps:

Obtain the attributes and geometric features of the roads in the high-precision road network data;

The attributes and geometric features of the roads are mounted to the corresponding roads in the standard road network data to obtain fusion data.

In this optional implementation manner, the standard-precision road network data may include but not limited to data such as the centerline of the road, the number of lanes, background lanes, and foreground lanes, and the high-precision road network data may also include, but not limited to, the boundary line of the road , lane lines, lane connection relationships, etc.

Considering that in the actual application process, due to the large amount of high-precision road network data and the difficulty of collection, it cannot cover all areas, and can only collect high-precision road network data for a part of the area, such as the target area, and most areas are still marked with standard data. Jinglu network data is the main. Therefore, when modeling the target area, the high-precision road network data can be mounted on the corresponding road in the standard-precision road network data, for example, the attributes of the road in the high-precision road network data (such as the connection between lanes) can be relationship, road elements on the road, etc.) and geometric features (such as road boundary lines, lane lines, etc.) are mounted on the corresponding roads in the Biaojing road network data, which can be based on the Biaojing road network data. The Jinglu network data is rich in the standard Jinglu network data. During the modeling, the fusion data with the high-precision road network data can be used in the target area, while other areas can directly use the standard Jinglu network data. , the area map model corresponding to the target area may have rich information, for example, may include lane-level display data, and the navigation guide lines may correspond to lanes on the road.

In an optional implementation manner of this embodiment, step S103, that is, the step of establishing an area map model of the target area based on the fusion data, further includes the following steps:

For the first area covered by the high-precision road network data in the target area, the fusion data is used for modeling;

For the second area not covered by the high-precision road network data in the target area, the standard road network data is used for modeling;

At the junction of the first area and the second area, the geometric features of the high-precision road network data are used to correct the standard road network data.

In this optional implementation manner, when modeling the target area, it is considered that the high-precision road network data may not necessarily cover all areas in the target area. Therefore, for the first area in the target area covered by the high-precision road network data, the high-precision road network data mounted on the road corresponding to the standard road network data can be used for modeling, and the corresponding high-precision road network data can be used for modeling. The uncovered second area can be modeled by using the standard road network data in the second area. At the junction of the first area and the second area, the geometric features of the high-precision road network data can be used to correct the standard road network data, so that the first area and the second area displayed after modeling can be smoothly transitioned. For example, the longitude and latitude information of the high-precision road network data and the longitude and latitude information of the standard road network data may be inconsistent in accuracy. Therefore, for geometric features such as lane lines and road boundary lines, the high-precision road network data can be used to benchmark the precision road network. data is corrected.

FIG. 3 shows a flowchart of a navigation guidance method according to an embodiment of the present disclosure. As shown in Figure 3, the navigation guidance method includes the following steps:

In step S301, the positioning information of the object being navigated is detected;

In step S302, when it is detected that the positioning information of the navigated object matches the target area, a navigation map is drawn and displayed based on the area map model corresponding to the target area; the area map model corresponding to the target area is pre-based The standard-precision road network data and the high-precision road network data in the target area are modeled.

In this embodiment, the navigation guidance method is executed on a navigation terminal. Navigation terminals may include, but are not limited to, vehicle navigation terminals, mobile phones, tablet computers, notebook computers, palmtop computers, robots, wearable devices, and the like. The object to be navigated may be a user using a navigation terminal, and the positioning information of the object to be navigated may be acquired by using the navigation terminal or a positioning module set together with the navigation terminal. The positioning module provides the collected positioning information to the navigation terminal, and the navigation terminal can determine the current position of the navigated object based on the positioning information collected in real time by the positioning module.

During the navigation process, the navigation terminal may request to obtain map data in advance, and the map data may include information such as the base map, the regional map model, and the navigation route. The navigation terminal may obtain the positioning information collected by the positioning module in real time during the navigation process. The positioning information navigation terminal can display a corresponding navigation map on the navigation interface, and the navigation map can display information such as navigation guide lines and road surface elements. The navigation map can be drawn based on a base map and a regional map model.

After the positioning information indicates that the navigated terminal is located in the target area, the navigation terminal can draw a navigation map of the target area based on the area map model and base map data corresponding to the target area, and display lane-level navigation guide lines on the navigation map. , traffic lights and other pavement elements.

In some embodiments, the area map model of the target area may be obtained based on the map modeling method described above, and the area map model may be pre-established by the server and then provided to the navigation terminal based on the navigation request. The target area may include a relatively complex navigation guidance area, such as an intersection area, such as a three-way intersection, a roundabout intersection, and multiple consecutive intersections.

The regional map model of the target area can be modeled based on the standard road network data and high-precision road network data of the target area. And the regional map model of the target area can be displayed on the navigation interface of the navigation terminal in full screen. During the navigation process, the area map model of the target area displayed on the navigation interface may include continuous guidance information of multiple intersections, for example, the guidance information of the first intersection and the guidance information of one or more second intersections after the first intersection may be displayed at the same time. guide information.

For the modeling process of the regional map model of the target area, reference may be made to the description of the map modeling method above, which will not be repeated here.

In the embodiment of the present disclosure, an area map model of the target area can be established on the server side in advance for the target area, and the area map model can be modeled based on the combination of the standard road network data and the high-precision road network data in the target area, The server side provides the area map model of the target area to the navigation terminal. After receiving the navigation request of the object being navigated, the navigation terminal can display the map model of the area where the object is currently located based on the positioning information of the object being navigated, and after the object being navigated enters the target area, it can correspond to the target area based on the location information of the object being navigated. The area map model of the navigator guides the navigated object. In the embodiment of the present disclosure, since the regional map model of the target area uses the high-precision road network data in addition to the marked-precision road network data, the continuous guidance of multiple intersections on the same navigation interface can be realized, and the navigation process is reduced. The yaw risk of the navigation object improves the navigation experience of the navigated object.

In an optional implementation manner of this embodiment, the method further includes:

When it is detected that the positioning information of the navigated object matches the non-target area, a navigation map is drawn and displayed based on the area map model corresponding to the non-target area; the area map model corresponding to the non-target area is pre-based on the The standard road network data in the non-target area is modeled.

In this optional implementation manner, the areas where the navigation object is prone to yaw during the navigation process may be statistically analyzed based on historical navigation data, and these areas are determined as target areas. When modeling the target area, the server may generate an area map model of the target area based on the combination of the above-mentioned standard road network data and high-precision road network data.

Because the high-precision road network data contains a lot of information, occupies a lot of storage space and transmission bandwidth resources, and the high-precision road network data collection cost is high, if all areas use standard road network data and high-precision road network data. Modeling in a combined way will result in a lot of data to be transmitted during the navigation process, and will also occupy a lot of storage space of the navigation terminal, and the cost of data collection will also be high. Therefore, for common areas, that is, non-target areas, the server side can only use standard road network data for modeling without using high-precision road network data. The area map model obtained by modeling the non-target area can be provided to the navigation terminal. When the navigation object is in the non-target area, the area map model of the non-target area is used to guide the navigation object.

It should also be noted that, in the existing navigation system, the map model that has been established using the Biaojing road network data basically covers all areas. Therefore, in order to save costs and speed up the process of going online, when implementing the embodiments of the present disclosure, based on the existing navigation system, a corresponding area map model can be established only for the target area, and the area corresponding to the target area The map model is connected with the existing regional map model of the non-target area, and finally a complete map model is obtained.

In an optional implementation manner of this embodiment, the target area includes a plurality of continuous intersections; step S502, that is, when it is detected that the positioning information of the navigated object matches the target area, based on the corresponding target area The steps of drawing and displaying the navigation map of the area map model of the , further include the following steps:

When it is detected that the positioning information of the navigated object matches the target area, drawing a navigation map including a plurality of continuous intersections based on the area map model corresponding to the target area;

The navigation map is displayed in full screen on the display screen, and the navigation guidance information of the plurality of continuous intersections is also displayed on the navigation map.

In this optional implementation, in the process of establishing the regional map model of the target area, the fusion data is obtained by mounting the high-precision road network data to the standard road network data, and then based on the fusion data, the target The area is modeled to obtain the area map model. Therefore, during the navigation process, after the navigation terminal detects that the object to be navigated is about to enter or has entered the target area based on the positioning information, it can draw a navigation map of the target area based on the area map model, and the navigation map may include multiple objects in the target area. The map information of the consecutive intersections, and the navigation map can be displayed in full screen on the navigation interface of the navigation terminal, and the navigation guidance information of the plurality of consecutive intersections is also displayed on the navigation map at the same time.

According to a method for providing a location-based service according to an embodiment of the present disclosure, the method for providing a location-based service includes: using an area map model of a target area established by the above-mentioned map modeling method to provide a location-based service for a served object, the Location services include one or more of: navigation, map rendering, and route planning.

In this embodiment, the location-based service providing method may be executed on a terminal, and the terminal is a mobile phone, an ipad, a computer, a smart watch, a vehicle, or the like. In this embodiment of the present disclosure, for a target area on an electronic map, if the above-mentioned map modeling method is used to obtain an area map model of the target area, the area map model can be provided to the navigation terminal, so as to provide a location-based map model for the served object. services, such as navigation services, map rendering, and route planning.

The serviced objects can be mobile phones, ipads, computers, smart watches, vehicles, robots, etc. In the process of navigating and guiding the served object, if the served object enters the target area, it can render the navigation map to be displayed based on the regional map model of the target area, and guide the served object by displaying the navigation guidance information on the navigation map. The object travels on the correct navigation route. For details, please refer to the above description of the map modeling method and the navigation guidance method, which will not be repeated here.

FIG. 4 shows a schematic diagram of an intersection guidance scene according to an embodiment of the present disclosure. As shown in FIG. 4 , the navigation server determines, based on statistical analysis of historical navigation data, an intersection area in a city that is still prone to yaw in a navigation guidance scenario. Collect high-precision road network data and obtain the existing Biaojing road network data for the intersection area, and fuse the high-precision road network data to the Biaojing road network data to obtain fusion data, and then build the intersection based on the fusion data. The intersection map model of the area, the intersection map model is pushed to the navigation terminal.

The navigation terminal requests the navigation route from the navigation server based on the user's request; the navigation terminal monitors the user's current location in real time, and draws a navigation map at the current location based on the pre-obtained map data and the navigation route requested by this navigation, and displays it on the on the navigation interface. After the user enters the intersection area with the intersection map model established, the intersection navigation map can be drawn based on the intersection map model of the intersection area, and the navigation map can be displayed in full screen on the navigation decoding of the navigation terminal. After the user exits the intersection area, the intersection map model of the intersection area can be replaced with a map model outside the intersection area; or the guide information such as navigation guide lines can be displayed directly on the base map outside the intersection area to display other areas. Navigation map.

FIG. 5 is a block diagram showing the implementation structure of the intersection guidance system in the full screen mode according to an embodiment of the present disclosure. As shown in Figure 5, the intersection guidance system may include three parts: a data engine, a server and a client. The data engine and server can be located on the server, and the client can be located on the navigation terminal. The data engine fuses SD (standard precision) road network data with HD (high precision) road network data, and then performs road picking and modeling based on the fused data, and finally produces 3D model data; after the client initiates navigation, it is guided The service requests the junction map service, and the junction map service requests model data from the basemap data service according to the navigation path, and then sends it to the client through the guidance service; when the client moves the map data, it can also directly initiate the model to the basemap data service. data request.

The data engine can include four modules: data reading, fusion, routing and modeling. The data reading module is responsible for loading SD road network data and HD road network data, including the road centerline, number of lanes, background lanes, foreground lanes and other SD attributes required for large-scale intersection modeling, as well as road boundary lines, lane lines, HD attributes such as lane connection relationship; the fusion module is responsible for mounting the attributes and geometric features of HD roads to SD roads. This module mainly solves the problem of matching failures caused by differences in SD and HD processes, accuracy differences, and road shape differences; The road module is responsible for screening the intersections of each scene according to the road picking strategy. The road picking strategy can be formulated with reference to the grade, composition, ownership, connection type, etc. of the road, and finally converted into programmable rules; the modeling module adopts the area High-precision modeling method, that is, within the modeling range, the features of high-precision road network data are preferentially used to construct a large-scale intersection model. For areas not covered by HD, the SD road network is still used to construct a large-scale intersection model, and HD roads and SD roads are connected. The geometric features of HD are used to correct the road shape of SD, so that it can transition smoothly.

The server can include base map data service, intersection big map service and guidance service. The request on the client is first sent to the guidance service, and the guidance service determines the scene of the intersection and requests the big picture service of the intersection according to the navigation segment; the big picture service of the intersection responds to the request of the guidance service and requests the basemap data service according to the navigation path; the basemap data service is responsible for Load the data engine to produce a full-screen large image data model.

The client receives the full-screen intersection model issued by the basemap data service or the guidance service and draws it.

The following are the apparatus embodiments of the present disclosure, which can be used to execute the method embodiments of the present disclosure.

FIG. 6 shows a structural block diagram of a map modeling apparatus according to an embodiment of the present disclosure. The apparatus can be implemented by software, hardware or a combination of the two to become part or all of the electronic device. As shown in Figure 6, the map modeling device includes:

The first acquisition module 601 is configured to acquire map data of a target area; the map data of the target area includes standard road network data and high-precision road network data;

The fusion module 602 is configured to fuse the high-precision road network data and the standard-precision road network data to obtain fusion data;

The first establishment module 603 is configured to establish an area map model of the target area based on the fusion data; the area map model of the target area is provided to the navigation terminal for use by the navigation terminal in the target area to be navigated. object for navigation guidance.

In this embodiment, the target area may include a relatively complex navigation guidance area, such as an intersection area, such as a three-way intersection, a roundabout intersection, and multiple consecutive multiple intersections.

When the navigation object passes through the intersection area, the navigation system usually displays an enlarged image of the intersection, which is used to guide the navigation and other actions of the navigation object.

Enlarged junction map refers to a kind of junction indication map that comprehensively presents the junction area after enlarging the junction area, combined with the navigation guide line and other elements of the road. After the three-dimensional model of the area is obtained, the enlarged image of the intersection is obtained by rendering in the navigation terminal. Enlarged map of intersection can be divided into grid map and vector map according to the organization form, and can be divided into single-junction magnified map and multi-junction magnified map according to the number of intersections included.

Usually, the canvas of the existing magnified image of the intersection in the navigation system only occupies a part of the display screen of the navigation terminal. However, limited by the size of the canvas and the modeling method, the enlarged vector intersection map can only cover a single or two relatively close intersections, so it can only present a single or two relatively close intersections, and cannot realize the continuity of multiple intersections. guide.

Therefore, for the above-mentioned target area including multiple continuous intersections or other more complex navigation guidance, the embodiment of the present disclosure establishes an area map model of the target area in advance, and provides the area map model to the navigation terminal, so that the navigation terminal can navigate during the navigation process. , by drawing the regional map model on the display screen of the navigation terminal, and then on the basis of the drawn regional map model, the navigation guide line and other road elements are combined to guide the navigated object.

In this embodiment, during the modeling process, corresponding map data is obtained for the target area, and the map data may include, but is not limited to, standard road network data and high-precision road network data corresponding to the target area. It should be noted that the Biaojing road network data can be road network data with low precision that is usually used by the navigation system in the navigation process, that is, in the normal navigation guidance process, the road information displayed on the navigation page is based on the standard Obtained from the Jinglu network data.

Compared with the standard road network data, the high-precision road network data has higher precision and more detailed representation of ground objects. High-precision road network data not only has high-precision coordinates, but also includes accurate lane shapes, as well as more detailed data such as slope, curvature, heading, elevation, and roll of each lane.

Due to the large amount of data information in the high-precision road network, the data collection is difficult, the storage space occupied, the bandwidth resources occupied during transmission, etc. The map model established based on the Biaojing road network data is used for navigation guidance; in addition, the existing large-image guidance service for intersections in the navigation system is also based on the data of the Biaojing road network. The large picture is used to guide the navigation object by using the large picture of the intersection established by the data of the marked road network.

In the embodiments of the present disclosure, in order to solve the problem in the prior art that the large intersection map established by using the data of the Biaojing Road Network cannot realize the continuous guidance of multiple intersections that are not too close, it is proposed to use the Biaojing Road Network for the target area. A modeling method combining data and high-precision road network data. In this modeling method, the high-precision road network data in the target area is fused into the standard road network data to form fusion data, and then the fusion data is used to build a regional map model of the target area.

The regional map model can be provided to the navigation terminal. After the object to be navigated enters the target area, the navigation terminal can draw the regional map model on the display screen, so that the object to be navigated can intuitively understand the follow-up based on the displayed image of the regional map model. A series of driving actions, it is not easy to yaw.

Compared with the prior art, this embodiment uses a combination of standard road network data and high-precision road network data, so that the target area including multiple intersections can be modeled, so that the regional map model obtained by modeling can be achieved. It can cover multiple intersections, and can realize complex continuous navigation guidance for multiple intersections; it solves the problem that in the prior art, since the large intersection map can only cover one intersection or two intersections with similar distances, the navigated object is in the intersection map. After passing through the first intersection under the guidance of , if there are multiple other intersections, it is impossible to drive correctly through the guidance of the big picture of the intersection, and there is a risk of yaw.

In addition, since the high-precision road network data and the standard road network data in this embodiment are fused, the regional map model of the target area is established by using the fused data, and the regional map model does not need to be drawn using a separate canvas , but can be directly connected with the map model established by the Biaojing road network data of the non-target area, and then displayed in full screen on the display screen of the navigation terminal; therefore, the navigated object can see the information of the lane ahead and the navigation through the display map of the regional map model. At the same time as the guide line, you can also see the road information at a far position ahead.

In an optional implementation manner of this embodiment, the apparatus further includes:

The second acquisition module is configured to acquire the map data of the non-target area; the map data of the non-target area includes the standard road network data;

The second establishment module is configured to establish an area map model of the non-target area based on the Biaojing road network data; the area map model of the non-target area is provided to the navigation terminal for use in the non-target area by The navigation terminal guides the navigation object.

In this optional implementation manner, the areas where the navigation object is prone to yaw during the navigation process may be statistically analyzed based on historical navigation data, and these areas are determined as target areas. When modeling the target area, an area map model of the target area can be generated based on the combination of the above-mentioned standard road network data and high-precision road network data.

Because the high-precision road network data contains a lot of information, occupies a lot of storage space and transmission bandwidth resources, and the high-precision road network data collection cost is high, if all areas use standard road network data and high-precision road network data. Modeling in a combined way will result in a lot of data to be transmitted during the navigation process, and will also occupy a lot of storage space of the navigation terminal, and the cost of data collection will also be high. Therefore, for the common area, that is, the non-target area, only the standard road network data can be used for modeling, without using the high-precision road network data. The area map model obtained by modeling the non-target area can be provided to the navigation terminal. When the navigation object is in the non-target area, the area map model of the non-target area is used to guide the navigation object.

It should also be noted that, in the existing navigation system, the map model that has been established using the Biaojing road network data basically covers all areas. Therefore, in order to save costs and speed up the process of going online, when implementing the embodiments of the present disclosure, based on the existing navigation system, a corresponding area map model can be established only for the target area, and the area corresponding to the target area The map model is connected with the existing regional map model of the non-target area, and finally a complete map model is obtained.

In an optional implementation manner of this embodiment, the fusion module includes:

a first acquisition sub-module, configured to acquire attributes and geometric features of roads in the high-precision road network data;

The mounting sub-module is configured to mount the attributes and geometric features of the roads to the corresponding roads in the Biaojing road network data to obtain fusion data.

In this optional implementation manner, the standard-precision road network data may include but not limited to data such as the centerline of the road, the number of lanes, background lanes, and foreground lanes, and the high-precision road network data may also include, but not limited to, the boundary line of the road , lane lines, lane connection relationships, etc.

Considering that in the actual application process, due to the large amount of high-precision road network data and the difficulty of collection, it cannot cover all areas, and can only collect high-precision road network data for a part of the area, such as the target area, and most areas are still marked with standard data. Jinglu network data is the main. Therefore, when modeling the target area, the high-precision road network data can be mounted on the corresponding road in the standard-precision road network data, for example, the attributes of the road in the high-precision road network data (such as the connection between lanes) can be relationship, road elements on the road, etc.) and geometric features (such as road boundary lines, lane lines, etc.) are mounted on the corresponding roads in the Biaojing road network data, which can be based on the Biaojing road network data. The Jinglu network data is rich in the standard Jinglu network data. During the modeling, the fusion data with the high-precision road network data can be used in the target area, while other areas can directly use the standard Jinglu network data. , the area map model corresponding to the target area may have rich information, for example, may include lane-level display data, and the navigation guide lines may correspond to lanes on the road.

In an optional implementation manner of this embodiment, the first establishment module includes:

a first modeling submodule, configured to use the fusion data to perform modeling for the first area covered by the high-precision road network data in the target area;

The second modeling submodule is configured to use the standard-precision road network data to model the second area in the target area that is not covered by the high-precision road network data;

A correction sub-module is configured to correct the marked road network data by using the geometric features of the high-precision road network data at the junction of the first area and the second area.

In this optional implementation manner, when modeling the target area, it is considered that the high-precision road network data may not necessarily cover all areas in the target area. Therefore, for the first area in the target area covered by the high-precision road network data, the high-precision road network data mounted on the road corresponding to the standard road network data can be used for modeling, and the corresponding high-precision road network data can be used for modeling. The uncovered second area can be modeled by using the standard road network data in the second area. At the junction of the first area and the second area, the geometric features of the high-precision road network data can be used to correct the standard road network data, so that the first area and the second area displayed after modeling can be smoothly transitioned. For example, the longitude and latitude information of the high-precision road network data and the longitude and latitude information of the standard road network data may be inconsistent in accuracy. Therefore, for geometric features such as lane lines and road boundary lines, the high-precision road network data can be used to benchmark the precision road network. data is corrected.

FIG. 7 shows a structural block diagram of a navigation guidance device according to an embodiment of the present disclosure. The apparatus can be implemented by software, hardware or a combination of the two to become part or all of the electronic device. As shown in Figure 7, the navigation and guidance device includes:

The detection module 701 is configured to detect the positioning information of the object being navigated;

The first display module 702 is configured to draw and display a navigation map based on the area map model corresponding to the target area when it is detected that the positioning information of the navigated object matches the target area; the area corresponding to the target area The map model is modeled in advance based on the standard road network data and the high-precision road network data in the target area.

In this embodiment, the navigation guidance device is executed on a navigation terminal. Navigation terminals may include, but are not limited to, vehicle navigation terminals, mobile phones, tablet computers, notebook computers, palmtop computers, robots, wearable devices, and the like. The object to be navigated may be a user using a navigation terminal, and the positioning information of the object to be navigated may be acquired by using the navigation terminal or a positioning module set together with the navigation terminal. The positioning module provides the collected positioning information to the navigation terminal, and the navigation terminal can determine the current position of the navigated object based on the positioning information collected in real time by the positioning module.

During the navigation process, the navigation terminal may request to obtain map data in advance, and the map data may include information such as the base map, the regional map model, and the navigation route. The navigation terminal may obtain the positioning information collected by the positioning module in real time during the navigation process. The positioning information navigation terminal can display a corresponding navigation map on the navigation interface, and the navigation map can display information such as navigation guide lines and road surface elements. The navigation map can be drawn based on a base map and a regional map model.

After the positioning information indicates that the navigated terminal is located in the target area, the navigation terminal can draw a navigation map of the target area based on the area map model and base map data corresponding to the target area, and display lane-level navigation guide lines on the navigation map. , traffic lights and other pavement elements.

In some embodiments, the area map model of the target area may be obtained based on the map modeling apparatus described above, and the area map model may be pre-established by the server and then provided to the navigation terminal based on the navigation request. The target area may include a relatively complex navigation guidance area, such as an intersection area, such as a three-way intersection, a roundabout intersection, and multiple consecutive intersections.

The regional map model of the target area can be modeled based on the standard road network data and high-precision road network data of the target area. And the regional map model of the target area can be displayed on the navigation interface of the navigation terminal in full screen. During the navigation process, the area map model of the target area displayed on the navigation interface may include continuous guidance information of multiple intersections, for example, the guidance information of the first intersection and the guidance information of one or more second intersections after the first intersection may be displayed at the same time. guide information.

For the modeling process of the regional map model of the target area, reference may be made to the above description of the map modeling apparatus, which is not repeated here.

In the embodiment of the present disclosure, an area map model of the target area can be established on the server side for the target area in advance, and the area map model can be obtained by modeling based on the combination of the standard road network data and the high-precision road network data in the target area. , the server side provides the regional map model of the target area to the navigation terminal. After receiving the navigation request of the navigated object, the navigation terminal can display the map model of the area where the navigated object is currently located based on the positioning information of the navigated object, and after the navigated object enters the target area, it can be based on the target area. The corresponding area map model guides the navigated object. In the embodiment of the present disclosure, since the regional map model of the target area uses the high-precision road network data in addition to the marked-precision road network data, the continuous guidance of multiple intersections can be realized, and the yaw of the navigated object during the navigation process is reduced. risk, improving the navigation experience of the object being navigated.

In an optional implementation manner of this embodiment, the apparatus further includes:

When it is detected that the positioning information of the navigated object matches the non-target area, a navigation map is drawn and displayed based on the area map model corresponding to the non-target area; the area map model corresponding to the non-target area is pre-based on the The standard road network data in the non-target area is modeled.

In this optional implementation manner, the areas where the navigation object is prone to yaw during the navigation process may be statistically analyzed based on historical navigation data, and these areas are determined as target areas. When modeling the target area, the server may generate an area map model of the target area based on the combination of the above-mentioned standard road network data and high-precision road network data.

Because the high-precision road network data contains a lot of information, occupies a lot of storage space and transmission bandwidth resources, and the high-precision road network data collection cost is high, if all areas use standard road network data and high-precision road network data. Modeling in a combined way will result in a lot of data to be transmitted during the navigation process, and will also occupy a lot of storage space of the navigation terminal, and the cost of data collection will also be high. Therefore, for common areas, that is, non-target areas, the server side can only use standard road network data for modeling without using high-precision road network data. The area map model obtained by modeling the non-target area can be provided to the navigation terminal. When the navigation object is in the non-target area, the area map model of the non-target area is used to guide the navigation object.

It should also be noted that, in the existing navigation system, the map model that has been established using the Biaojing road network data basically covers all areas. Therefore, in order to save costs and speed up the process of going online, when implementing the embodiments of the present disclosure, based on the existing navigation system, a corresponding area map model can be established only for the target area, and the area corresponding to the target area The map model is connected with the existing regional map model of the non-target area, and finally a complete map model is obtained.

In an optional implementation manner of this embodiment, the target area includes a plurality of continuous intersections; step S502, that is, when it is detected that the positioning information of the navigated object matches the target area, based on the corresponding target area The steps of drawing and displaying the navigation map of the area map model of the , further include the following steps:

When it is detected that the positioning information of the navigated object matches the target area, drawing a navigation map including a plurality of continuous intersections based on the area map model corresponding to the target area;

The navigation map is displayed in full screen on the display screen, and the navigation guidance information of the plurality of continuous intersections is also displayed on the navigation map.

In this optional implementation, in the process of establishing the regional map model of the target area, the fusion data is obtained by mounting the high-precision road network data to the standard road network data, and then the target is further based on the fusion data. The area is modeled to obtain the area map model. Therefore, during the navigation process, after the navigation terminal detects that the object to be navigated is about to enter or has entered the target area based on the positioning information, it can draw a navigation map of the target area based on the area map model, and the navigation map may include multiple objects in the target area. The map information of the consecutive intersections, and the navigation map can be displayed in full screen on the navigation interface of the navigation terminal, and the navigation guidance information of the plurality of consecutive intersections is also displayed on the navigation map at the same time.

According to a location-based service providing apparatus according to an embodiment of the present disclosure, the location-based service providing apparatus includes: using the area map model of the target area established by the above-mentioned map modeling apparatus to provide a location-based service for a served object, the Location services include one or more of: navigation, map rendering, and route planning.

In this embodiment, the location-based service providing apparatus may be executed on a terminal, and the terminal is a mobile phone, an ipad, a computer, a smart watch, a vehicle, or the like. In this embodiment of the present disclosure, for a target area on an electronic map, if the above-mentioned map modeling device is used to obtain an area map model of the target area, the area map model can be provided to the navigation terminal, so as to provide a location-based map model for the served object. services, such as navigation services, map rendering, and route planning.

The serviced objects can be mobile phones, ipads, computers, smart watches, vehicles, robots, etc. In the process of navigating and guiding the served object, if the served object enters the target area, it can render the navigation map to be displayed based on the regional map model of the target area, and guide the served object by displaying the navigation guidance information on the navigation map. The object travels on the correct navigation route. For details, refer to the above descriptions of the map modeling device and the navigation guidance device, which will not be repeated here.

8 is a schematic structural diagram of an electronic device suitable for implementing a map modeling method, a navigation guidance method and/or a location-based service providing method according to an embodiment of the present disclosure.

As shown in FIG. 8 , the electronic device 800 includes a processing unit 801, which can be implemented as a processing unit such as a CPU, a GPU, an FPGA, and an NPU. The processing unit 801 may perform various processes in the embodiments of any of the above-described methods of the present disclosure according to a program stored in a read only memory (ROM) 802 or a program loaded from the storage section 808 into a random access memory (RAM) 803 . In the RAM 803, various programs and data necessary for the operation of the electronic device 800 are also stored. The processing unit 801 , the ROM 802 and the RAM 803 are connected to each other through a bus 804 . An input/output (I/O) interface 805 is also connected to bus 804 .

The following components are connected to the I/O interface 805: an input section 806 including a keyboard, a mouse, etc.; an output section 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 808 including a hard disk, etc. ; and a communication section 809 including a network interface card such as a LAN card, a modem, and the like. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 810 as needed so that a computer program read therefrom is installed into the storage section 808 as needed.

In particular, according to an embodiment of the present disclosure, any of the methods in the above-referenced embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing any of the methods of the embodiments of the present disclosure. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 809 and/or installed from the removable medium 811 .

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the diagram or block diagram may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function. executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units or modules involved in the embodiments of the present disclosure can be implemented in software or hardware. The described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the units or modules themselves in certain circumstances.

As another aspect, the present disclosure also provides a computer-readable storage medium, and the computer-readable storage medium may be a computer-readable storage medium included in the apparatus described in the foregoing embodiments; A computer-readable storage medium that fits into a device. The computer-readable storage medium stores one or more programs used by one or more processors to perform the methods described in the present disclosure.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover the above-mentioned technical features without departing from the inventive concept. Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims (10)

1. A map modeling method, comprising:

acquiring map data of a target area; the map data of the target area comprises road map data of a road map and high-precision road map data;

fusing the high-precision road network data and the standard road network data to obtain fused data;

establishing a regional map model of the target region based on the fusion data; and providing the regional map model of the target region for the navigation terminal to perform navigation guidance on the navigated object in the target region by the navigation terminal.

2. The method of claim 1, wherein the method further comprises:

acquiring map data of a non-target area; the map data of the non-target area comprises road map data;

establishing a regional map model of the non-target region based on the road map network data; and providing the regional map model of the non-target region for the navigation terminal to perform navigation guidance on the navigated object in the non-target region by the navigation terminal.

3. The method according to claim 1 or 2, wherein fusing said high precision road network data with said road network data to obtain fused data comprises:

acquiring the attribute and the geometric characteristic of the road in the high-precision road network data;

and mounting the attributes and the geometric characteristics of the roads to corresponding roads in the road network data of the road network to obtain fusion data.

4. The method of claim 3, wherein building a regional map model of the target region based on the fused data comprises:

modeling by adopting the fusion data for a first area covered by the high-precision road network data in the target area;

modeling by using the standard road network data for a second area which is not covered by the high-precision road network data in the target area;

and correcting the standard road network data by adopting the geometric features of the high-precision road network data at the joint of the first region and the second region.

5. A navigation guidance method, comprising:

detecting positioning information of a navigated object;

when the positioning information of the navigated object is detected to be matched with a target area, drawing and displaying a navigation map based on an area map model corresponding to the target area; and the regional map model corresponding to the target region is obtained by modeling based on the road network data of the road map and the high-precision road network data in the target region in advance.

6. The method of claim 5, further comprising:

when the positioning information of the navigated object is detected to be matched with a non-target area, drawing and displaying a navigation map based on an area map model corresponding to the non-target area; and the regional map model corresponding to the non-target region is obtained by modeling based on the road map data in the non-target region in advance.

7. The method of claim 5, wherein the target area comprises a plurality of contiguous intersections; when the positioning information of the navigated object is detected to be matched with a target area, drawing and displaying a navigation map based on an area map model corresponding to the target area, wherein the drawing and displaying process comprises the following steps:

when the positioning information of the navigated object is detected to be matched with the target area, drawing a navigation map comprising a plurality of continuous intersections based on an area map model corresponding to the target area;

and displaying the navigation map on a display screen in a full screen mode, and displaying navigation guide information of the continuous intersections on the navigation map.

8. A location-based service providing method, comprising: providing a location-based service for a served object using a regional map model of a target region established by the method of any of claims 1-4, the location-based service comprising: one or more of navigation, map rendering, route planning.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory, wherein the processor executes the computer program to implement the method of any of claims 1-8.

10. A computer program product comprising computer instructions, wherein the computer instructions, when executed by a processor, implement the method of any one of claims 1-8.

Images