JP2010190773A - Navigation apparatus and navigation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve a problem in a navigation apparatus wherein, though display guidance by various pieces of information has been conventionally proposed, these are set by the assumption of a designer of the navigation apparatus and the guidance is not so easy to understand as the guidance by a fellow passenger and that although the guidance display method may be changed based on the history information and the recognition degree of a driver, the criteria of the fellow passenger is not reflected. <P>SOLUTION: The navigation method includes: a step of calculating a driving state feature quantity in a guidance by a guidance time driving state feature quantity calculation means from the guidance history in the guidance history storage means, the guidance history being the history of the guidance performed by the passenger to the driver; a step of classifying the guidance in a class by a guidance classification means, in the class the driving state feature quantity to the guidance satisfies the condition; a step of replacing the variable part of the speech content of the driving state feature quantity to a variable part signal, a step of selecting the most frequent speech content in each of the classes by a speech content selection means; and a step of storing in a storage means as a guide rule. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a navigation apparatus and a navigation method for presenting a change point or a change direction of a traveling direction to a vehicle driver and guiding a route to a destination.

2. Description of the Related Art In recent years, navigation devices that guide a route to a destination by presenting a point to change a traveling direction, a direction to be changed, and the like to a traveling person such as an automobile or walking have been widely spread. However, if the guide presented by the navigation device is difficult to understand, there is a possibility that the driver will make a mistake in the route or may cause an accident without making a quick decision. For this reason, presentation of a guide that is easy to understand for the driver is an issue, and ultimately it is desired to realize a navigation device that can be guided by a human being, for example, a passenger who guides next door.
In order to deal with this problem, a method of controlling guide presentation timing, guide content (what to present), and guide expression (how to present) using various information has been proposed. Various types of information include, for example, road physical information (intersection shape, etc.), road attribute information (road type, etc.), objects on the route (stores, etc.), and physical information related to travel (distance and vehicle speed). , Arrival time, etc.), vehicle information (such as direction indicator status), external environment information (such as weather information), and history information (such as travel history and guidance history).

Conventionally, Japanese Patent Laid-Open No. 2003-121185 (Patent Document 1) discloses a technology that can provide a sense of distance that is appropriate for the driver without considering the speed of the vehicle and that is easy to understand and has a good feeling. There is a method described. In the method of Patent Document 1, the speed change to the target is predicted using the speed and the distance obtained from the speed detection means for detecting the speed of the moving body and the distance calculation means for calculating the distance to the target. The guide keyword is selected according to the predicted speed change. The guide keyword is selected at a timing when the calculated distance coincides with a preset value such as 300 m or 700 m. As the guidance keyword, “immediately” “immediately there”, etc. that can get a sense of short distance, and “immediately” “mojiki” etc. are stored in the guidance keyword storage means that can get a sense of long distance. Yes. These can be configured to be set according to the preference of the driver of the vehicle (moving body).
With the method of Patent Document 1, when there is no traffic jam between the current position and the target and the road surface is in good condition, for example, when traveling on a highway at 100 km / h, proceeding to a junction 300 m ahead in the left direction Will be presented with a guide that says, “Just there is a left direction”. If you are driving on the prefectural road at 30km / h and turn left at an intersection 300m ahead, you will be presented with a guide that says “I will turn left at the intersection soon”. The This makes it possible for the driver to obtain an appropriate sense of distance compared to the expression by distance, which is “I will turn left 300m ahead”.

  Japanese Patent Laid-Open No. 2007-285976 (Patent Document 2) implements comprehensive voice information and road information around the user, and realizes appropriate voice guidance for the user regardless of the driving location. Technology is disclosed. According to Japanese Patent Laid-Open No. 2004-260688, the history information of the guidance point that has been guided in the past and the driver's recognition that is a reference for determining how much the driver knows the guidance point is used. Priorities are given to the guidance sentences having different degrees of detail, and the guidance sentence with the highest priority is presented.

For example, if it is determined from the history information that the driver knows well because he / she passes once a week or more, a guide using a specific name that the driver seems to know, such as a road name, has the highest priority. The ranking becomes higher. In this case, you will be presented with a guide saying, "Turn about 4 kilometers ahead, turn right at the A intersection and enter National Route 1. Follow the road until then." On the other hand, when it is determined that the driver hardly knows, the guide based on the distance has the highest priority. In this case, you will be presented with a guide saying "Turn right about 4 kilometers ahead.
As described above, by selecting a guide sentence with a degree of detail corresponding to the degree of recognition of the driver, a guide that is easy to understand for the driver can be performed.

JP 2003-121185 A "Navigation Device" JP 2007-285976 A "Voice Guidance Device"

Conventionally, a method for controlling the timing of guide presentation, guide content, and guide expression using various information has been proposed, but the method for setting the reference value used for the control is not clear, and the navigation device designer is based on the assumption. Was to set. Therefore, there is a problem that the guide is not always easy for the driver to tell the passenger, unlike the standard in which the passenger guides the driver under actual driving conditions.
For example, in the conventional method described in Patent Document 1, distances such as 300 m and 700 m set in advance as the guidance keyword selection timing do not necessarily coincide with the timing at which the passenger guides. Therefore, there was a problem that the guide was not made at an easy-to-understand timing that the passengers would tell. Further, there is a problem that the guide keyword set in advance does not match the passenger's guide expression, and is not an easy-to-understand guide expression that the passenger tells.
Further, in the conventional method described in Patent Document 2, the reference value is changed by changing the priority order using the history information and the driver's recognition degree, but this is the driver's reference, and the passenger's reference. There was a problem that the standards could not be reflected.

  The present invention has been made to solve the above-described problems, and realizes "timing", "guide contents", and "guide expression" as guided by the passenger, and presents the guide that is easy for the driver to understand. An object of the present invention is to provide a navigation device and a navigation method for creating a guide rule that can be used.

  It is another object of the present invention to provide a navigation device and a navigation method capable of presenting a guide similar to a passenger's guide to a traveling vehicle driver using a created guide rule.

The navigation device according to the present invention is:
A guide history storage means for storing a guide history including the vehicle position on the map where the passenger has guided the driver, the position of the guidance target point, the vehicle speed, and the utterance content;
The guide-state driving situation feature quantity is calculated by referring to the guide history stored in the guide history storage means and calculating and outputting the feature quantity of the driving situation from the vehicle position and vehicle speed on the map at the time when the passenger conducted the guidance. Calculation means;
Guide classification condition storage means for storing conditions for item values of feature values of driving conditions;
Guide classification means for classifying guides into a classification in which the driving situation feature value output by the guide driving situation feature quantity calculation means satisfies the classification condition stored in the guide classification condition storage means;
Utterance content selection means for selecting and outputting the most frequent utterance content for each classification classified by the guide classification means;
Guide rule storage means for storing the utterance contents output by the utterance content selection means for each classification.

The navigation device according to the present invention further includes:
Driving situation feature amount calculating means for calculating and outputting a driving situation feature amount for a running vehicle;
From the guide classification condition storage means, the classification that satisfies the driving condition feature value output by the driving condition feature value calculation means is identified, and when there is a classification that satisfies the condition, it is stored in the guide rule storage means Guide generation means for outputting the utterance content for the identified classification from the guide rule;
Guide providing means for presenting the utterance content output by the guide generating means to the driver is provided.

Moreover, the navigation method according to the present invention includes:
Calculate and output the driving situation feature quantity consisting of multiple or single items from the guide history including the vehicle position on the map that the passenger has guided to the driver, the position of the guidance target point, the vehicle speed, and the utterance content. Driving state feature amount calculation step at the time of guide,
A guide classification step for classifying the guide into a classification in which the driving situation feature value output by the guide driving situation feature quantity calculating unit satisfies a condition defined for each item value of the driving situation feature quantity;
For each category classified by the guide classification step, an utterance content selection step for selecting and outputting the most frequent utterance content;
A guide rule storage step of storing the utterance content output by the utterance content selection step for each classification;

The navigation method according to the present invention further includes:
A driving situation feature amount calculating step for calculating and outputting a driving situation feature quantity for a running vehicle;
A class that satisfies the driving condition feature value output by the driving condition feature value calculating step is identified, and if there is a class that satisfies the condition, the guide rule stored in the guide rule storing step is used for the identified class. A guide generation step for outputting the utterance content;
A guide presenting step of presenting the utterance content output by the guide generating step to the driver by guide presenting means is provided.

According to the navigation device or the navigation method according to the present invention,
Calculates the driving situation feature quantity at the time of guiding from the guide history that the passenger has guided to the driver, replaces the item value constituting this driving situation feature quantity by driving situation feature quantity replacement, and the driving situation feature for the guide The guides are classified into categories that satisfy the quantity, the variable part of the utterance content of the driving situation feature is replaced with the variable part symbol, and the most frequent utterance content is selected for each category, and the guide rule Is stored in the storage means, and using the guide rules stored in this storage means, it is possible to realize "timing", "guide contents", and "guide expression" that the passenger will guide and present the guide that is easy for the driver to understand Can be performed.

Further, according to the navigation device or the navigation method according to the present invention,
Calculates the driving situation feature amount during vehicle traveling, identifies the classification that satisfies the driving condition feature amount during vehicle traveling, selects the utterance content from the guide rule storage means, and sets the variable part as the utterance expression character string Since the guide presenting means presents the utterance content replaced with, the guide based on the passenger's guide history is presented in the same manner as when the passenger conducted the guide, so that the passenger would guide "Timing", "Guide contents", and "Guide expression" can be realized, and an effect that a driver can easily present a guide can be obtained.

It is a block diagram of the navigation apparatus in Embodiment 1 of this invention. It is explanatory drawing of the example of a guide history memorize | stored in the guide history memory | storage means in Embodiment 1 of this invention. FIG. 5 is a schematic diagram of a map at the time of recording a guide history in Embodiment 1 of the present invention. It is explanatory drawing of the example of the driving condition feature-value replacement rule memorize | stored in the driving condition feature-value replacement rule memory | storage means in Embodiment 1 of this invention. It is explanatory drawing of the example of classification conditions memorize | stored in the guide classification condition memory | storage means in Embodiment 1 of this invention. It is explanatory drawing of the example of an output of the guide classification | category means in Embodiment 1 of this invention. It is explanatory drawing of the example of a variable part extraction rule memorize | stored in the variable part extraction rule memory | storage means in Embodiment 1 of this invention. It is explanatory drawing of the example of an output result of the variable part replacement means in Embodiment 1 of this invention. It is explanatory drawing of the example of a guide rule memorize | stored in the guide rule memory | storage means in Embodiment 1 of this invention. It is explanatory drawing of the example of a variable part setting rule memorize | stored in the variable part setting rule memory | storage means in Embodiment 1 of this invention. FIG. 3 is a schematic diagram of a map during vehicle travel according to Embodiment 1 of the present invention. It is explanatory drawing of the example of driving condition feature value replacement rule memorize | stored in the driving condition feature value replacement rule memory | storage means in Embodiment 2 of this invention. It is explanatory drawing of the example of classification conditions memorize | stored in the guide classification condition memory | storage means in Embodiment 2 of this invention. It is a schematic diagram of the map at the time of vehicle travel in Embodiment 2 of this invention.

Embodiment 1 FIG.
FIG. 1 is a block diagram showing Embodiment 1 of the present invention.
The guide history storage unit 101 stores a guide history including the vehicle position on the map where the passenger has guided the driver, the position of the guidance target point, the vehicle speed, and the utterance content.
The driving situation feature quantity calculation means 102 at the time of guidance calculates and outputs a driving situation feature quantity composed of a plurality of items or a single item from the vehicle position and vehicle speed on the map at the time when the passenger performs guidance.
The driving situation feature amount replacement rule storage means 103 stores the driving situation feature amount replacement rule.
The driving situation feature quantity replacing unit 104 replaces the driving situation feature quantity output from the guide-time driving situation feature quantity calculating unit 102 based on the rules stored in the driving situation feature quantity replacement rule storage unit 103.
The guide classification condition storage unit 105 stores a condition for each item value of the driving situation feature amount.
The guide classification means 106 outputs the driving situation output from the driving-time driving situation feature quantity calculating means 102 replaced by the driving situation feature quantity replacing means 104 based on the rules stored in the driving situation feature quantity replacement rule storage means 103. The guides are classified into categories whose feature amounts satisfy the classification conditions stored in the guide classification condition storage unit 105.
The variable part extraction rule storage means 107 stores a rule for replacing a variable part in the utterance content with a variable part symbol.
The variable part replacement unit 108 refers to the variable part extraction rule storage unit 107 and replaces the variable part of the utterance content with the variable part symbol.

The utterance content selection means 109 selects and outputs the utterance content with the highest frequency for each classification classified by the guide classification means.
The guide rule storage unit 110 stores the utterance content output from the utterance content selection unit 109 as a guide rule for each classification.
The driving situation feature quantity calculating means 111 calculates and outputs the driving situation feature quantity for the traveling vehicle.
The variable part setting rule storage means 112 stores a rule for replacing the variable part symbol in the utterance content with the utterance content character string based on the route information at the guidance target point.
The guide generation means 113 identifies the classification that satisfies the driving condition feature value output from the driving condition feature value calculation means 111 from the guide classification condition storage means 105, and if there is a classification that satisfies the condition, Select the utterance content for the identified classification from the guide rules stored in the guide rule storage means 110, refer to the variable part setting rule storage means 112, and replace the variable part symbol of the utterance content with the utterance content character string And output.
The guide presenting means 114 presents the utterance content output from the guide generating means 113 by voice and display on the screen.

FIG. 2 is a diagram showing an example of the guide history stored in the guide history storage unit 101. As shown in FIG. FIG. 3 is an explanatory diagram schematically showing the vehicle position, the guidance target point position, and the road when the guide history of FIG. 2 is recorded. The triangles in FIG. 3 represent vehicle positions, and the numbers next to the triangles correspond to the guide numbers in FIG. A double circle represents a guidance target point.
For example, the guide of guide number 1 is located at 35 degrees 67 minutes 29 seconds north latitude 139 degrees 77 minutes 56 seconds when the vehicle is 35 degrees 67 minutes 11 seconds north, 139 degrees 77 minutes 46 seconds east It is shown that the passenger spoke to the guidance target point at “Please turn right when you hit”. The vehicle speed at this time was 42 km / h.

  Although only five guides with guide numbers 1 to 5 are shown in FIG. 2, this is a part of the stored guide history, and the guide history storage means 101 has a plurality of guide histories by various passengers. It is remembered. In order to record the guide history, for example, a video recording device or a GPS (Gilobal Positioning System) device may be used during actual driving, or a log function of a conventional navigation device may be used. Alternatively, a driving simulator may be configured using a conventional navigation device, and a guide history may be collected using the driving simulator.

Next, the operation of the guide-time driving situation feature quantity calculating means 102 will be described. In this embodiment, the items constituting the driving situation feature are 1) the distance from the vehicle position to the guidance target point, 2) the presence or absence of a signal at the guidance target point, and 3) the intersection from the vehicle position to the guidance target point. Explain the case of 6 items: presence / absence, 4) intersection shape type of guidance target point, 5) width difference of intersection road of guidance target point, and 6) structure type existing from vehicle position to guidance target point.
In addition, [100m, Yes, Yes, T-junction, 1m, Bridge] in which the values of these 6 items are separated by commas and placed in order, and 1) The distance from the vehicle position to the guidance target point is 100m, 2) There is a signal of the guidance target point, 3) There is an intersection from the vehicle position to the guidance target point, 4) The intersection shape type of the guidance target point is T-junction, 5) The width difference of the crossing road is 1 m, and 6) It represents that the structure type existing from the vehicle position to the guidance target point is a bridge.

The operation will be described with reference to guides with guide numbers 1, 2, and 3 in FIG. First, the distance from the vehicle position to the guidance target point is calculated as a linear distance from the latitude and longitude. Since the distance from the vehicle position to the guidance target point is a short distance, when the ground surface is approximated to a plane, the latitude difference between the two points is x, the longitude difference is y, the distance of 1 second latitude is 31m, and the latitude is 35 degrees above Since the distance of 1 second in longitude is 25 m, the straight line distance is obtained as the square root of the sum of the squares of 31x and 25y. For example, in the guide of No. 1, since the latitude difference between the vehicle position and the guidance target point is 18 seconds and the longitude difference is 10 seconds, the linear distance is obtained as 611 m.
Next, presence / absence of signal of guidance target point, presence / absence of intersection to guidance target point, intersection shape type of guidance target point, width difference of intersection road of guidance target point, structure existing from vehicle position to guidance target point The type is acquired from map information (not shown) for the navigation device. There is a known method for acquiring each of the above-described information from the map information for the navigation device. As a result, there is a signal for the guidance target point, there is an intersection to the guidance target point, the intersection shape type of the guidance target point is T-junction, the width difference of the intersection road of the guidance target point is 1 m, the guidance target point from the vehicle position It is assumed that there is no structure type existing until now.
By the above operation, the driving condition feature [611m, yes, yes, T-junction, 1m, no] for guide number 1 and the driving situation feature [267m, yes, yes, For the T-junction, 1 m, no] and guide number 3, the operating condition feature [40 m, yes, no, T-junction, 1 m, no] is output. The driving-time feature information calculating means 102 at the time of the guide calculates the driving condition feature values for all the guides stored in the guide history storage means 101 as well as the guides of the guide numbers 1, 2, and 3.
Since the distance calculated from the latitude and longitude is an approximate value, if the distance between two points can be acquired from the map information of the navigation device, the value may be used.

FIG. 4 shows an example of the driving situation feature quantity replacement rule stored in the driving situation feature quantity replacement rule storage means 103. A rule is provided that replaces the distance, which is an item constituting the driving situation feature amount, with 50 m when the distance is 0 m or more and less than 100 m. Similarly, there is a rule that when the distance is 100 m or more and less than 500 m, it is replaced with 300 m, and when it is 500 m or more and less than 1000 m, it is replaced with 700 m.
The driving situation feature quantity replacing unit 104 replaces the driving situation feature quantity output from the driving driving situation feature quantity calculating unit 102 in accordance with the driving situation feature quantity replacement rule 103 described above. For example, if the driving condition feature quantity [611m, yes, yes, T-junction, 1m, no] for the guide number 1 is input, the distance is 611m. Therefore, according to the substitution rule of the substitution rule number 3 shown in FIG. , 611m is replaced with 700m, and [700m, yes, yes, T-junction, 1m, no] is output as the operating condition feature for guide number 1.
Similarly, the operation status feature [267m, yes, yes, T-junction, 1m, no] for guide number 2 is replaced with [300m, yes, yes, T-junction, 1m, no], and operation for guide number 3 The situation feature [40m, yes, no, T-junction, 1m, no] is replaced with [50m, yes, no, T-junction, 1m, no] and output.

FIG. 5 shows a part of the classification conditions stored in the guide classification condition storage means 105. The classification condition is defined as a combination of conditions for the value of each item of the driving situation feature amount. For example, classification number 1 is 700 m from the vehicle position to the guidance target point, there is a signal at the guidance target point, there is an intersection from the vehicle position to the guidance target point, and the intersection shape type of the guidance target point is T-shaped It is a classification for guides that have a driving condition feature that satisfies the condition that there is no structure type existing from the vehicle position to the guidance target point when the width difference of the intersection road of the guidance target point is -4 m or more and less than 4 m. It means that there is.
In the present embodiment, it is assumed that there are three types of conditions of 700 m, 300 m, and 50 m for the distance from the vehicle position to the guidance target point. In addition, it is assumed that there are three types of intersection shape types of guidance target points, namely T-junction, crossroads, and other conditions. The width difference of the intersection road at the guidance target point shall be three conditions: less than -4m, -4m to less than 4m, and 4m or more. There are three types of structures that exist from the vehicle position to the guidance target point: railroad crossing, bridge, and nothing. The presence / absence of a signal at the guidance target point and the presence / absence of an intersection from the vehicle position to the guidance target point are classified into two types: yes and no.
Therefore, a total of 324 types of classifications of 3 × 3 × 3 × 3 × 2 × 2 are defined as combinations of these item value conditions. FIG. 5 shows a part of 324 types of classification.
The item value conditions described above are merely examples, and are not limited to the above, and other conditions may be set.

When the driving condition feature value is input, the guide classifying unit 106 classifies the guide into a class that satisfies the classification condition stored in the guide classification condition storage unit 105.
For example, since the operating condition feature amount of guide number 1 is [700 m, yes, yes, T-junction, 1 m, no], all of the category 1 item conditions are satisfied. Therefore, the guide classification means 106 classifies guide number 1 into classification 1.
Similarly, the driving situation feature quantity [300m, yes, yes, T-junction, 1m, no] for guide number 2 satisfies the conditions of category 2, and the driving situation feature quantity for guide number 3 [50m, yes, no, T [Junction, 1m, None] satisfies the condition of Category 6, and is classified into Category 2 and Category 6, respectively.
The guide classifying unit 106 repeats the above-described operation for all input driving situation feature quantities, and classifies the guides into classifications that satisfy the driving condition feature quantities. As a result, it is assumed that the driving condition feature amount classifying unit outputs the classification result of FIG. 6 for classification 1, classification 2, and classification 6. FIG. 6 shows a part of the classification result.

FIG. 7 is a diagram showing an example of the variable part extraction rule stored in the variable part extraction rule storage unit 107. In the extraction pattern, the pattern of the character string to be extracted in the utterance content is defined, and the variable partial symbol defines the character string after replacement. For example, as an extraction rule of extraction number 1, “$ {direction}” is defined as a character string after replacement for the extraction pattern “is right”. In addition, in extraction number 5, “$ {direction}” is defined as a character string after replacement for the extraction pattern “to the right”.
The variable partial replacement means 108 detects a character string that matches the extracted pattern with respect to the utterance content, and if detected, replaces the detected partial character string with the replaced character string. There are known methods for pattern matching and replacement processing for character strings, and they may be realized by using them.
When the classification result of FIG. 6 is input, the variable part replacement means 108 executes variable part replacement processing for all utterance contents and outputs the result of FIG.

The utterance content selection means 109 selects and outputs the utterance content having the highest frequency among the utterance contents for each category as the utterance content of the category.
For example, for category 1 in FIG. 8, the number of utterances of guide numbers 1, 27, 78, 88, and 234 “turn at the end in $ {direction}” is the largest, five. Accordingly, the utterance content selection means 109 selects “turns at the end in $ {direction}” as the utterance content of category 1.
Similarly, select “straight” for category 2 and “here $ {direction}” for category 6 and output.

  The guide rule storage unit 110 stores the utterance content output by the utterance content selection unit 109 for each classification. FIG. 9 is an example of guide rules stored in the guide rule storage unit 110. For category 1, utterance content “turns at the end in $ {direction}”, for category 2, utterance content “straight”, but for category 6, utterance content “here $ {direction}” Is stored.

  The driving situation feature quantity calculating means 111 calculates and outputs the driving situation feature quantity for the traveling vehicle. In the present embodiment, it is assumed that the driving situation feature amount is composed of the six items described in the explanation of the operation of the guidance driving situation feature amount calculation means 102. In addition, information necessary for calculating the driving situation feature value is acquired from map information (not shown) of the navigation device. The calculation process of the driving situation feature value is the same as that of the above-described driving driving situation feature quantity calculation unit 102.

  FIG. 10 is a diagram showing an example of the variable part setting rule stored in the variable part setting rule storage unit 112. As the variable part setting rule number 1, when the right / left turn direction of the route information is “right”, a rule for replacing the variable part symbol $ {direction} with “right” is defined. Similarly, as the variable part setting rule number 2, when the right / left turn direction of the route information is left, a rule for replacing the variable part symbol $ {direction} with “left” is defined.

The operation of the driving situation feature quantity calculating unit 111, the guide generating unit 113, and the guide presenting unit 114 will be described by taking as an example a case where the currently traveling vehicle is in a situation as shown in the schematic diagram of FIG. In other words, it is assumed that the vehicle is traveling left on the map, and is traveling on a route that turns to the right at a guidance target point at a latitude of 35 degrees 39 minutes 22 seconds north and 139 degrees 07 minutes 22 seconds east longitude.
When the vehicle is traveling at the point A in FIG. 11, that is, at a latitude of 35 degrees 39 minutes 22 seconds north and 139 degrees 07 minutes 54 seconds east longitude, , Yes, T-junction, 2m, No] is calculated and output.
When the driving situation feature quantity from the driving situation feature quantity calculation means 111 is input, the guide generation means 113 identifies the classification that satisfies the input driving situation feature quantity from the classification of the guide classification condition storage means 105. In the present embodiment, since there are three types of distance conditions of 700 m, 300 m, and 50 m, there is no classification that satisfies the driving condition feature [800 m, yes, yes, T-junction, 2 m, no]. Therefore, the guide generation unit 113 waits for the next input of the driving situation feature amount.

The driving situation feature amount when the vehicle is traveling at the point B in FIG. 11, that is, 35 degrees 39 minutes 22 seconds north latitude, 139 degrees 07 minutes 50 seconds east longitude, is calculated by the driving situation feature quantity calculation means 111 [700m, , Yes, T-junction, 2m, No] is calculated and output.
In this case, when the driving situation feature value is input, the guide generation unit 113 identifies the classification 1 as the classification satisfying the condition from the guide classification condition storage unit 105. Therefore, the guide generation unit 113 refers to the guide rule storage unit 110 and selects the utterance content “Turn the end in $ {direction}” for the classification 1.

Further, the guide generating unit 113 refers to the setting rule of the variable part symbol $ {direction} for the route information at the guidance target point in the variable part setting rule storage unit 112. Since the right / left turn direction at the guidance target point is right, select the rule with variable part setting rule number 1, and change the variable part symbol $ {direction} of the utterance content "turn at the end to $ {direction}" to the right The utterance content “turn right at the end” is generated and output.
When the utterance content “turn right at the end” is input, the guide presenting means 114 presents the utterance content to the driver by voice. In addition, what is necessary is just to use a well-known speech synthesis system for the presentation by an audio | voice.
Further, the guide presenting means 114 displays the utterance character string on the display (not shown) of the navigation device.

  Similarly, the driving situation feature quantity traveling at the point C in FIG. 11, that is, 35 degrees 39 minutes 22 seconds north latitude and 139 degrees 07 minutes 34 seconds east longitude is calculated by the driving situation feature quantity calculation means 111 [300 m, When it is calculated and output [Yes, Yes, T-junction, 2m, No], the guide generation means 113 operates in the same manner as described above to output the utterance content “I am straight”, and the guide presentation means 114 operates by voice. Present to the person.

  Further, the driving situation feature quantity while the vehicle is traveling at the point D in FIG. 11, that is, 35 degrees 39 minutes 22 seconds north latitude and 139 degrees 07 minutes 24 seconds east longitude, is calculated by the driving situation feature quantity calculation means 111 [50 m , Yes, Yes, T-junction, 2m, No], the guide generation means 113 operates in the same manner as described above to output the utterance content “It is right here”, and the guide presentation means 114 sounds. To the driver.

As described above, from the guide history that the passenger has guided the driver, the driving situation feature quantity calculating means 102 calculates the driving situation feature quantity and the driving situation feature quantity replacing means 104 calculates the driving situation feature quantity. Replace the item value that you want to configure. The guide classifying means 106 classifies the guides into classifications that satisfy the driving condition feature values for the guides. Further, the variable part replacing means 108 replaces the variable part of the utterance content with the variable part symbol. Further, the utterance content selection means 109 selects the utterance content having the highest frequency for each classification, and the guide rule storage means 110 stores the utterance contents for the classification.
When the vehicle is running, the driving situation feature quantity calculating means 111 calculates the driving situation feature quantity when the vehicle is running, and the guide generating means 113 identifies a category that satisfies the driving situation feature quantity when the vehicle is running and stores the guide rule. The utterance content is selected from the means 110, and the utterance content in which the variable part is replaced with the utterance expression character string is output. The guide presenting means 114 outputs the utterance content by voice and displays it on the display.
Therefore, since the guide based on the passenger's guide history is presented in the same driving situation as when the passenger conducted the guide, the `` timing '', `` guide content '' and `` guide expression '' that the passenger will guide are displayed. Realized and the effect that the guide can be presented easily to the driver is obtained.

Embodiment 2. FIG.
In the second embodiment, the items constituting the driving situation feature amount are 1) predicted arrival time from the vehicle position to the guidance target point, 2) presence / absence of a signal at the guidance target point, and 3) from the vehicle position to the guidance target point. Except for 6 items: presence / absence of intersection, 4) intersection shape type of guidance target point, 5) width difference of intersection road of guidance target point, 6) type of structure existing from vehicle position to guidance target point, The same as in the first embodiment. That is, it is the same as in the first embodiment except that the “distance from the vehicle position to the guidance target point” in the configuration item 1) of the driving situation feature is changed to “predicted arrival time from the vehicle position to the guidance target point”. is there.
The guide history stored in the guide history storage means 101 is shown in FIG. 2, the variable part extraction rule stored in the variable part extraction rule storage means 107 is shown in FIG. The operation will be described using the configuration of FIG. 1 as in the first embodiment, taking the case where the partial setting rule is shown in FIG. 10 as an example. In addition, description is abbreviate | omitted when operation | movement is the same as Embodiment 1. FIG.
Further, as in the first embodiment, the driving situation feature amount is represented by a notation in which the values of the six items that are configured are separated by commas and are arranged in order. At this time, the first value in the parenthesis is different from the distance in the first embodiment as described above and represents the predicted arrival time.

The driving state feature quantity calculation means 102 at the time of guide moves from the vehicle position calculated by operating in the same manner as in the first embodiment to the guidance target point and the vehicle speed in the guide history to the guidance target point with the vehicle speed. The time required in this case is calculated as the predicted arrival time. That is, the time obtained by dividing the distance by the vehicle speed is calculated.
For example, the distance from the vehicle position to the guidance target point in guide number 1 is 611 m, and the vehicle speed is 42 km / h. Therefore, the predicted arrival time is calculated as 611/42 * 3.6 and is 52 s. Therefore, for the guide number 1, the driving condition feature quantity [52s, yes, yes, T-junction, 1m, no] is output.
Similarly, the estimated arrival time is calculated for guide number 2 and guide number 3, and the driving situation feature amount for guide number 2 [24s, yes, yes, T-junction, 1m, no], driving situation for guide number 3 Outputs feature value [7s, yes, no, T-junction, 1m, no].

FIG. 12 shows an example of the driving situation feature quantity replacement rule stored in the driving situation feature quantity replacement rule storage means 103 in this embodiment, and the replacement rule for the predicted arrival time, which is an item constituting the driving situation feature quantity, is shown. It is prescribed.
Therefore, the driving situation feature quantity replacement means 104 replaces the driving situation feature quantity [52s, yes, yes, T-junction, 1m, no] for guide number 1 with [50s, yes, yes, T-junction, 1m, no]. And replace the operation status feature [24s, yes, yes, T-junction, 1m, no] for guide number 2 with [16s, yes, yes, T-junction, 1m, no], and guide number 3 Replaces [7s, Yes, No, T-junction, 1m, No] with [6s, Yes, No, T-junction, 1m, No].

  FIG. 13 shows a part of the classification conditions stored in the guide classification condition storage means 105. In the present embodiment, it is assumed that there are three types of conditions of 50 s, 16 s, and 6 s for the predicted arrival time. The other items are the same as in the first embodiment. Therefore, the total number of classification is 324 types. Also in the present embodiment, the above item value condition is an example and is not limited to the above, and another condition may be set.

  The guide classification means 106 operates in the same manner as in the first embodiment, classifying guide number 1 into classification 1, guide number 2 into classification 2, and guide number 3 into classification 6. Similarly, it is assumed that the operation is repeated for all the driving situation feature amounts, and the classification results of FIG. 6 are output for classification 1, classification 2, and classification 6. Thereafter, the variable part replacement means 108 operates in the same manner as in the first embodiment and outputs the result of FIG. 8, and the utterance content selection means 109 also operates in the same way as in the first embodiment, so that the guide rule storage means 110 Nine guide rules are stored.

The operation of the driving situation feature amount calculating unit 111, the guide generating unit 113, and the guide presenting unit 114 will be described by taking as an example a case where the currently traveling vehicle is in a situation as shown in the schematic diagram of FIG. In other words, it is assumed that the vehicle is traveling left on the map, and is traveling on a route that turns to the right at a guidance target point at a latitude of 35 degrees 39 minutes 22 seconds north and 139 degrees 07 minutes 22 seconds east longitude.
Assume that the vehicle has reached point A in FIG. 14 at 50 km / h. Since the distance from the point A to the target guide point is 800 m, the predicted arrival time is calculated as 58 s by 800/50 * 3.6, and the driving situation feature quantity calculation means 111 calculates the driving situation feature quantity [58 s, yes, yes, T [Junction, 2m, None] is output.
When the driving situation feature amount is input, the guide generation unit 113 identifies the classification that satisfies the input driving situation feature amount from the classification of the guide classification condition storage unit 105. In the present embodiment, there are three types of conditions for the predicted arrival time: 50 s, 20 s, and 6 s, so there is no classification that satisfies the driving condition feature [58 s, yes, yes, T-junction, 2 m, no] . Therefore, the guide generation unit 113 waits for the next input of the driving situation feature amount.

Assume that the vehicle has reached the point B in FIG. 14 at 50 km / h. Since the distance from the point B to the target guidance point is 700 m, the predicted arrival time is calculated as 50 s, and the driving situation feature quantity calculation means 111 calculates the driving situation feature quantity [50 s, yes, yes, T-junction, 2 m, no ] Is output.
In this case, when the driving situation feature amount is input from the driving situation feature amount calculation unit 111, the guide generation unit 113 identifies the classification 1 as the classification satisfying the condition from the guide classification condition storage unit 105. Therefore, the guide generation unit 113 refers to the guide rule storage unit 110 and selects the utterance content “Turn the end in $ {direction}” for the classification 1.

Further, as in the first embodiment, the guide generation unit 113 replaces the variable part of the utterance content and outputs the utterance content “turn right at the end”.
As in the first embodiment, the guide presenting means 114 presents the utterance content “turn right at the end” to the driver.

  Similarly, it is assumed that the vehicle has reached the point E in FIG. 14 at 40 km / h. Since the distance from the point E to the target guide point is 225 m, the predicted arrival time is calculated as 20 s, and the driving situation feature quantity calculation means 111 calculates the driving situation feature quantity [20 s, yes, yes, T-junction, 2 m, no ] Is output. The guide generation means 113 operates in the same manner as described above to output the utterance content “straight”, and the guide presentation means 114 presents the utterance content to the driver.

  Furthermore, assume that the vehicle has reached the point D in FIG. 14 at 30 km / h. Since the distance from the point D to the target guide point is 50 m, the predicted arrival time is calculated as 6 s, and the driving situation feature quantity calculation means 111 calculates the driving situation feature quantity [6 s, yes, yes, T-junction, 2 m, no ] Is output. The guide generation means 113 operates in the same manner as described above to output the utterance content “Here is right”, and the guide presentation means 114 presents the utterance content to the driver.

As described above, from the guide history that the passenger has guided the driver, the driving situation feature quantity calculating means 102 calculates the driving situation feature quantity and the driving situation feature quantity replacing means 104 calculates the driving situation feature quantity. Replace the item value that you want to configure. The guide classifying means 106 classifies the guides into classifications that satisfy the driving condition feature values for the guides. Further, the variable part replacement means 108 replaces the variable part of the utterance content with the variable part symbol, and the utterance content selection means 109 selects the utterance content having the highest frequency for each classification, and the guide rule storage means 110 stores the utterance content for the classification.
When the vehicle is running, the driving situation feature quantity calculating means 111 calculates the driving situation feature quantity when the vehicle is running, and the guide generating means 113 identifies a category that satisfies the driving situation feature quantity when the vehicle is running and stores the guide rule. The utterance content is selected from the means 110, the utterance content in which the variable part is replaced with the utterance expression character string is output, and the guide presenting means 114 outputs the utterance content by voice and also displays it on the display.
Therefore, since the guide based on the passenger's guide history is presented in the same driving situation as when the passenger conducted the guide, the `` timing '', `` guide content '' and `` guide expression '' that the passenger will guide are displayed. Realized and the effect that the guide can be presented easily to the driver is obtained.

  The navigation device and the navigation method according to the present invention can be applied to a navigation device. When the present invention is applied, even when there is no passenger in the vehicle, the “timing” that the passenger guides the driver. "Guide content" and "Guide expression" can be realized, and it is possible to present a guide that is easy for the driver to understand.

  101; guide history storage means, 102; driving situation feature quantity calculation means during guidance, 103; driving situation feature quantity replacement rule storage means, 104; driving situation feature quantity replacement means, 105; guide classification condition storage means, 106; guide classification Means: 107; variable part extraction rule storage means; 108; variable part replacement means; 109; utterance content selection means; 110; guide rule storage means; 111; driving condition feature quantity calculation means; 112; variable part setting rule storage means; 113; Guide generating means; 114; Guide presenting means.

Claims (16)

A guide history storage means for storing a guide history including the vehicle position on the map where the passenger has guided the driver, the position of the guidance target point, the vehicle speed, and the utterance content;
The guide-state driving situation feature quantity is calculated by referring to the guide history stored in the guide history storage means and calculating and outputting the feature quantity of the driving situation from the vehicle position and vehicle speed on the map at the time when the passenger conducted the guidance Calculation means;
Guide classification condition storage means for storing conditions for item values of feature values of driving conditions;
Guide classification means for classifying guides into a classification in which the driving situation feature value output by the guide driving situation feature quantity calculation means satisfies the classification condition stored in the guide classification condition storage means;
For each classification classified by the guide classification means, utterance content selection means for selecting and outputting the most frequent utterance content;
A navigation apparatus comprising guide rule storage means for storing the utterance contents output by the utterance content selection means for each classification. Driving situation feature quantity replacement rule storage means storing driving situation feature quantity substitution rules;
A driving situation feature quantity replacing means for replacing the driving situation feature quantity output by the guide driving driving situation feature quantity calculation means based on a rule stored in the driving situation feature quantity replacement rule storage means;
The guide classification means stores in the guide classification condition storage means the driving situation feature value replaced by the driving situation feature quantity replacement rule stored in the driving situation feature quantity replacement rule storage means by the driving situation feature quantity replacement means. The navigation device according to claim 1, wherein the guides are classified into classifications satisfying the classified classification conditions. Variable part extraction rule storage means storing a rule for replacing a variable part in the utterance content with a variable part symbol;
A variable part replacement unit that replaces the variable part of the utterance content of the driving situation feature amount classified by the guide classification unit with a variable part symbol with reference to the variable part extraction rule storage unit, and outputs the variable part symbol to the utterance content selection unit. The navigation apparatus according to claim 1, further comprising a navigation device. Driving situation feature amount calculating means for calculating and outputting a driving situation feature amount for a running vehicle;
From the guide classification condition storage means, the classification that satisfies the driving condition feature value output by the driving condition feature value calculation means is identified, and when there is a classification that satisfies the condition, it is stored in the guide rule storage means Guide generation means for outputting the utterance content for the identified classification from the guide rule;
The navigation apparatus according to claim 1, further comprising guide presenting means for presenting a utterance content output by the guide generating means to a driver. Driving situation feature amount calculating means for calculating and outputting a driving situation feature amount for a running vehicle;
From the guide classification condition storage means, the classification that satisfies the driving condition feature value output by the driving condition feature value calculation means is identified, and when there is a classification that satisfies the condition, it is stored in the guide rule storage means Guide generation means for outputting the utterance content for the identified classification from the guide rule;
Guide presenting means for presenting the utterance content output by the guide generating means to the driver;
Variable part setting rule storage means for storing a rule for replacing the variable part symbol in the utterance content with the utterance content character string based on the route information at the guidance target point;
4. The navigation apparatus according to claim 3, wherein the guide generation unit replaces the variable part symbol of the utterance content with the utterance content character string with reference to the variable part setting rule storage unit. The navigation apparatus according to any one of claims 1 to 5, wherein the guide presenting means includes means for presenting speech contents by voice. The navigation apparatus according to any one of claims 1 to 6, wherein the guide presenting means includes means for displaying the utterance content on a screen. The navigation apparatus according to any one of claims 1 to 7, wherein a distance from the vehicle position to the guidance target point is included in the driving situation feature amount. The navigation device according to any one of claims 1 to 8, wherein the presence / absence of a signal at a guidance target point is included in the driving situation feature amount.   The navigation apparatus according to any one of claims 1 to 9, characterized in that the presence / absence of an intersection from the vehicle position to the guidance target point is included in the driving situation feature amount. The navigation apparatus according to any one of claims 1 to 10, wherein an intersection shape type of the guidance target point is included in the driving situation feature amount. The navigation apparatus according to any one of claims 1 to 11, wherein a difference in width of the intersection road at the guidance target point is included in the driving situation feature amount.   The navigation apparatus according to any one of claims 1 to 12, wherein a structure type existing from a vehicle position to a guidance target point is included in a driving situation feature amount.   The navigation device according to any one of claims 1 to 13, wherein the estimated arrival time from the vehicle position to the guidance target point is included in the driving situation feature amount. Calculate and output the driving situation feature quantity consisting of multiple or single items from the guide history including the vehicle position on the map that the passenger has guided to the driver, the position of the guidance target point, the vehicle speed, and the utterance content. Driving state feature amount calculation step at the time of guide,
A guide classification step for classifying the guide into a classification in which the driving situation feature value output by the guide driving situation feature quantity calculating unit satisfies a condition defined for each item value of the driving situation feature quantity;
For each category classified by the guide classification step, an utterance content selection step for selecting and outputting the most frequent utterance content;
A navigation method comprising a guide rule storage step of storing the utterance content output by the utterance content selection step for each classification. A driving situation feature amount calculating step for calculating and outputting a driving situation feature quantity for a running vehicle;
The classification that satisfies the driving condition feature amount output by the driving condition feature amount calculating step is identified, and when there is a classification that satisfies the condition, the guide rule stored in the guide rule storing step is used to A guide generation step for outputting the utterance content;
16. The navigation method according to claim 15, further comprising a guide presenting step for presenting the utterance content output by the guide generating step to the driver.

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