CN118820707A - True value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment - Google Patents

Abstract

The present application provides a true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment, the system comprising: a data acquisition device, used to collect the true value data of the vehicle in real time during the driving process of the vehicle, the true value data including driving behavior data, external environment data, system health data and network security data; a data analysis module, used to simulate and score the state of the vehicle based on the true value data, and obtain a perception score, a decision score and a control score for characterizing the state of the vehicle; a data search module, used to generate a true value environment evaluation result of the vehicle based on the perception score, the decision score and the control score.

Description

True value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment

Technical Field

The present application relates to the field of computers, and more specifically, to a true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment.

Background Art

With the development of intelligent connected vehicles, it is becoming increasingly important to accurately evaluate their performance and safety in various complex environments. Traditional evaluation methods often have limitations and cannot fully consider the vehicle's true value data and environmental factors.

Therefore, the present application provides a true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment to solve one of the above-mentioned technical problems.

Summary of the invention

The purpose of this application is to provide a true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment, which can solve at least one of the above-mentioned technical problems. The specific solution is as follows:

According to a specific implementation of the present application, in a first aspect, the present application provides a true value environment evaluation system for an intelligent connected vehicle based on an on-board device, comprising:

A data acquisition device is used to collect the true value data of the vehicle in real time during the driving process of the vehicle, and the true value data includes driving behavior data, external environment data, system health data and network security data; a data analysis module is used to simulate and score the state of the vehicle based on the true value data to obtain a perception score, a decision score and a control score for characterizing the state of the vehicle; a data search module is used to generate a true value environmental evaluation result of the vehicle based on the perception score, the decision score and the control score.

In one implementation, the data analysis module uses the following formula to perform data analysis on the vehicle to obtain a target score for the vehicle, where the target score is the perception score, the decision score, or the control score: Wherein, S is the target score, B, E, H and N represent driving behavior data, external environment data, system health data and network security data respectively, W _B , _WE , W _H and W _N are the weights of driving behavior data, external environment data, system health data and network security data respectively, E _max , H _max and N _max represent the maximum values of external environment data, system health data and network security data respectively, and W _B + _WE + WE + W _H + W _N = 1.

In one implementation, the target score is the perception score; the sum of the weights of the driving behavior data and the external environment data is greater than or equal to 0.7, and the weight of the driving behavior data is greater than the weight of the external environment data.

In one implementation, the target score is the decision score; the sum of the weights of the driving behavior data and the system health data is greater than or equal to 0.7, and the weight of the system health data is greater than or equal to 0.5.

In one embodiment, the target score is the control score; the weight of the external environment data is less than 0.3, and among the weight of the driving behavior data, the weight of the external environment data, the weight of the system health data and the weight of the network security data, the weight of the driving behavior data is the largest.

In one embodiment, the data search module generates a true value environmental evaluation result of the vehicle based on the perception score, the decision score and the control score in the following manner, including: taking the preset score pool as the first set, and taking the perception score, the decision score and the control score as the second set; based on the intersection search method, searching the second set in all subsets of the first set to obtain a first subset; wherein the first subset includes at least three scores, and the difference between any score in the target score pool and at least one of the perception score, the decision score and the control score is less than the preset difference; based on the scores contained in the first subset, generating the true value environmental evaluation result of the vehicle.

In one embodiment, the data search module generates a true environmental evaluation result of the vehicle based on the scores contained in the first subset in the following manner, including: if the first subset only contains three scores, then based on a preconfigured mapping relationship between the three scores and the environmental evaluation results, the three scores contained in the first subset are mapped to obtain the environmental evaluation result of the vehicle.

In one embodiment, the data search module generates the true environmental evaluation results of the vehicle based on the scores included in the first subset in the following manner, including: if the first subset contains at least four scores, traversing all second subsets that can be generated by the first subset; wherein the second subset only contains the three scores in the first subset, and the scores contained in different second subsets are not exactly the same; based on a preconfigured mapping relationship between the three scores and the environmental evaluation results, the three scores contained in each of the second subsets are mapped separately to obtain multiple environmental evaluation results; wherein the number of the multiple environmental evaluation results is consistent with the number of the second subsets; for the multiple environmental evaluation results, the environmental evaluation result with the most consistent results is used as the environmental evaluation result of the vehicle.

In one implementation, the perception score, the decision score, or the control score has a value range of 0 to 1.

In one implementation, the preset difference is 0.1.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 shows a block diagram of a true value environment evaluation system for an intelligent connected vehicle based on an on-board device according to an embodiment of the present application;

FIG2 is a flow chart showing a method for generating a true value environment evaluation result of a vehicle by a data search module according to an embodiment of the present application;

FIG3 shows a flow chart of a method for generating a true value environmental evaluation result of a vehicle by a data search module according to an embodiment of the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

It should be understood that the term "and/or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and/or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character "/" in this article generally indicates that the associated objects before and after are in an "or" relationship.

It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

It should be particularly noted that any symbols and/or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

The embodiment provided in this application is an embodiment of a true value environment evaluation system for an intelligent connected vehicle based on vehicle-mounted equipment.

The embodiment of the present application is described in detail below with reference to FIG1 .

Figure 1 shows a block diagram of a true value environment evaluation system for an intelligent connected vehicle based on a vehicle-mounted device according to an embodiment of the present application. As shown in Figure 1, the true value environment evaluation system 1 for an intelligent connected vehicle includes a data acquisition device 11, a data analysis module 12, and a data search module 13.

The data acquisition device 11 is used to collect the true value data of the vehicle in real time during the driving process of the vehicle.

Among them, the true value data includes driving behavior data, external environment data, system health data and network security data.

The data analysis module 12 is used to simulate and score the state of the vehicle based on the true value data, and obtain a perception score, a decision score, and a control score for characterizing the state of the vehicle.

Among them, the perception score is used to evaluate the vehicle's perception state during driving, such as accident warning, road monitoring, pedestrian warning, etc. The decision score is used to evaluate the driving plan given by the vehicle during driving, especially when the assisted driving mode is turned on. The control score is used to evaluate the vehicle's control performance during driving, such as whether the lateral acceleration is too large when turning, whether the longitudinal acceleration is too large when starting, whether the route deviates when changing lanes, etc.

The data search module 13 is used to generate a true value environmental evaluation result of the vehicle based on the perception score, the decision score and the control score.

In this application, the intelligent connected vehicle true value environmental evaluation system generates the vehicle's true value environmental evaluation results based on perception scores, decision scores, and control scores, providing a dynamic solution based on the vehicle's real-time data and the true evaluation of the vehicle's status.

In one embodiment, the data analysis module 12 can perform data analysis on the vehicle by formula calculation to obtain a target score of the vehicle. The target score can be any one of a perception score, a decision score, and a control score. For example, the formula is as follows.

Wherein, S is the target score, B, E, H and N represent driving behavior data, external environment data, system health data and network security data respectively, W _B , _WE , W _H and W _N are the weights of driving behavior data, external environment data, system health data and network security data respectively, E _max , H _max and N _max represent the maximum values of external environment data, system health data and network security data respectively, and W _B + _WE + WE + W _H + W _N = 1.

The following example of the method for obtaining various true value data by the true value environment evaluation system of the intelligent networked vehicle is shown in the following. For ease of understanding, a method for obtaining driving behavior data, external environment data, system health data and network security data is provided respectively.

For example, driving behavior data can be obtained by the following formula:

Where N _harsh is the total number of sharp acceleration, sharp deceleration, sharp turn and other behaviors recorded within the specified time, and N _total is the total number of driving times within the specified time.

For example, external environment data can be obtained through the following formula:

Among them, D _safe is the total time of maintaining a safe distance from surrounding obstacles during driving, and D _total is the total driving time within the specified time.

For example, system health data can be obtained through the following formula:

Among them, _Si is the score of the i-th system health indicator, ranging from 0 to 1, 1 indicates complete health and 0 indicates complete failure, and n is the number of monitored system indicators.

For example, network security data can be calculated using the following formula:

Among them, I _attack is the number of network attacks within a specified time, and I _max is the assumed maximum number of attacks.

At present, in the existing schemes, driving behavior data, external environment data, system health data and network security data are usually used for comprehensive evaluation, and finally a comprehensive score is provided for the vehicle status as the actual performance of the vehicle. Although this method can summarize the performance of the vehicle, the practicality of the comprehensive evaluation cannot meet the use requirements during the actual observation and evaluation of the vehicle. Therefore, this application provides a score refinement scheme based on weight allocation to provide further refined data for vehicle evaluation.

In one implementation, when the target score is a perception score, the sum of the weights of the driving behavior data and the external environment data is greater than or equal to 0.7, and the weight of the driving behavior data is greater than the weight of the external environment data.

In this application, the perception score is used to evaluate the perception state of the vehicle during driving, such as accident warning, road monitoring, pedestrian warning, etc., and consideration is given to increasing the weight ratio of driving behavior data and external environment data. In actual measurements, when the sum of the weights of driving behavior data and external environment data is greater than or equal to 0.7, the perception score is basically consistent with the actual performance of the vehicle. Furthermore, setting the weight of driving behavior data to be greater than the weight of external environment data can make the perception score controllable while basically consistent with the actual performance of the vehicle, that is, the value range of the perception score is between 0 and 1.

In one feasible implementation, the weights of driving behavior data, external environment data, system health data, and network security data are configured as W _B = 0.45, W _E = 0.2, W _H = 0.15, and W _N = 0.2, respectively. In the solution of W _N > W _H in this embodiment, it is suitable for driving scenarios with strong communication interference, such as driving scenarios outside airports, and can provide a perception score that matches the actual state of the vehicle.

In one implementation, when the target score is a decision score, the sum of the weights of the driving behavior data and the system health data is greater than or equal to 0.7, and the weight of the system health data is greater than or equal to 0.5.

In this application, the decision score is used to evaluate the driving plan given by the vehicle during driving, especially when the assisted driving mode is turned on, and consideration is given to increasing the weight ratio of driving behavior data and system health data. In actual measurements, when the sum of the weights of driving behavior data and system health data is greater than or equal to 0.7, the decision score is basically consistent with the actual performance of the vehicle. Furthermore, setting the weight of system health data to be greater than or equal to 0.5 can make the decision score basically consistent with the actual performance of the vehicle, and the value range can be controlled, that is, the value range of the perception score is between 0 and 1.

In one feasible implementation, the weight of driving behavior data, the weight of external environment data, the weight of system health data, and the weight of network security data are configured as W _B = 0.15, W _E = 0.1, W _H = 0.65, and W _N = 0.1, respectively. In the solution where W _E and W _N are both less than 0.1 as in the present embodiment, the influence of external environment data and network security data on decision scoring is small. Of course, since external environment data and network security data basically do not affect vehicle decision-making, the weight of external environment data and the weight of network security data can also be set to 0.

In one embodiment, when the target score is a control score, the weight of the external environment data is less than 0.3, and among the weights of the driving behavior data, the external environment data, the system health data, and the network security data, the driving behavior data has the largest weight.

In this application, the control score is used to evaluate the control performance of the vehicle during driving, such as whether the lateral acceleration is too large when turning, whether the longitudinal acceleration is too large when starting, whether the route is offset when changing lanes, etc. Therefore, the influence of external environmental data, system health data, and network security data on the control score is relatively small. Among them, the weight of the external environmental data is controlled to be less than 0.3, so that the value range of the control score can be controlled, that is, the value range of the control score is between 0 and 1. At the same time, among the weights of the driving behavior data, the weights of the external environmental data, the weights of the system health data, and the weights of the network security data, the weight of the driving behavior data is the largest, which can ensure that the control score matches the actual control situation of the vehicle and provide a matching control evaluation.

In the present application, the data search module 13 can generate the true value environment evaluation result of the vehicle by means of set search.

FIG2 shows a flow chart of a method for the data search module 13 to generate a true value environment evaluation result of a vehicle according to an embodiment of the present application. As shown in FIG2 , the method includes the following steps S201 to S203 .

In step S201, the preset scoring pool is used as the first set, and the perception score, decision score and control score are used as the second set.

In step S202, based on the intersection search method, the second set is searched in all subsets of the first set to obtain the first subset.

The first subset includes at least three scores, and the difference between any score in the target score pool and at least one of the perception score, the decision score and the control score is less than a preset difference.

In step S203, a true value environment evaluation result of the vehicle is generated based on the scores included in the first subset.

FIG3 shows a flow chart of a method for the data search module 13 to generate a true value environment evaluation result of a vehicle according to an embodiment of the present application. As shown in FIG3 , the method includes the following steps S301 to S303 .

In step S301, the preset scoring pool is used as the first set, and the perception score, decision score and control score are used as the second set.

In step S302, based on the intersection search method, the second set is searched in all subsets of the first set to obtain the first subset.

The first subset includes at least three scores, and the difference between any score in the target score pool and at least one of the perception score, the decision score and the control score is less than a preset difference.

In step S303a, if the first subset contains only three scores, the three scores contained in the first subset are mapped based on a preconfigured mapping relationship between the three scores and the environmental evaluation results to obtain the environmental evaluation result of the vehicle.

In step S303b, if the first subset contains at least four ratings, all second subsets that can be generated from the first subset are traversed.

The second subset only includes the three ratings in the first subset, and the ratings included in different second subsets are not completely the same.

For example, if step S303b is executed, step S304 and step S305 are continued to be executed.

In step S304, based on the preconfigured mapping relationship between the three scores and the environmental evaluation results, the three scores included in each second subset are mapped respectively to obtain multiple environmental evaluation results.

The number of the multiple environmental evaluation results is consistent with the number of the second subset.

In step S305 , among the plurality of environmental evaluation results, the environmental evaluation result with the most consistent results is used as the environmental evaluation result of the vehicle.

In this application, the value range of the perception score, decision score or control score is 0 to 1.

In this application, the preset difference is 0.1.

The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted equipment provided in this application has the following advantages:

1. The real-value environmental evaluation system for intelligent connected vehicles based on vehicle-mounted equipment provided in this application can more accurately evaluate the performance and safety of intelligent connected vehicles in different environments by collecting the real-value data of the vehicle and adopting specific data analysis algorithms and search modules.

2. The system can monitor the vehicle's driving status and environmental changes in real time, promptly detect potential safety hazards, and provide corresponding warnings and suggestions.

3. The evaluation system of this application can also provide a reference for the research and development and improvement of intelligent connected vehicles, helping automobile manufacturers to continuously improve the quality and performance of their products.

4. In addition, the system can also provide decision-making support for traffic management departments, optimize traffic flow and improve road traffic safety levels.

Although operations are described in a particular order in the drawings, this should not be understood as requiring that the operations be performed in the particular order shown or in serial order, or that all shown operations be performed to achieve desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

The methods and devices of the present application can be implemented using standard programming techniques, using rule-based logic or other logic to implement various method steps. It should also be noted that the words "device" and "module" used herein and in the claims are intended to include implementations using one or more lines of software code and/or hardware implementations and/or devices for receiving input.

Any steps, operations or procedures described herein may be performed or implemented using one or more hardware or software modules, either alone or in combination with other devices. In one embodiment, the software module is implemented using a computer program product including a computer-readable medium containing computer program code, which can be executed by a computer processor to perform any or all of the described steps, operations or procedures.

The foregoing description of the implementation of the present application has been given for the purpose of illustration and description. The foregoing description is not exhaustive nor is it intended to limit the present application to the exact form disclosed, and various variations and modifications may exist according to the above teachings or may be obtained from the practice of the present application. These embodiments are selected and described in order to illustrate the principles of the present application and its practical application, so that those skilled in the art can utilize the present application in various embodiments and various modifications suitable for the specific purpose contemplated.

Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

It can be further understood that, unless otherwise specified, “connection” includes a direct connection without other components between the two, and also includes an indirect connection with other components between the two.

It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present application, it should not be understood as requiring the operations to be performed in the specific order or serial order shown, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to encompass any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the field of the present application that are not disclosed in the present application. The specification and embodiments are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following scope of rights.

It should be understood that the present application is not limited to the precise structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the scope of the appended claims.

The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims (10)

1. A true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment, characterized by comprising: A data acquisition device, used to collect the true value data of the vehicle in real time during the driving process of the vehicle, wherein the true value data includes driving behavior data, external environment data, system health data and network security data; A data analysis module, used to simulate and score the state of the vehicle based on the true value data, and obtain a perception score, a decision score, and a control score for characterizing the state of the vehicle; A data search module is used to generate a true value environmental evaluation result of the vehicle based on the perception score, the decision score and the control score. 2. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted devices according to claim 1, characterized in that the data analysis module uses the following formula to perform data analysis on the vehicle to obtain a target score for the vehicle, where the target score is the perception score, the decision score or the control score: Wherein, S is the target score, B, E, H and N represent driving behavior data, external environment data, system health data and network security data respectively, W _B , _WE , W _H and W _N are the weights of driving behavior data, external environment data, system health data and network security data respectively, E _max , H _max and N _max represent the maximum values of external environment data, system health data and network security data respectively, and W _B + _WE + WE + W _H + W _N = 1. 3. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted equipment according to claim 2 is characterized in that: The target score is the perception score; The sum of the weights of the driving behavior data and the external environment data is greater than or equal to 0.7, and the weight of the driving behavior data is greater than the weight of the external environment data. 4. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted equipment according to claim 2 is characterized in that: The target score is the decision score; The sum of the weights of the driving behavior data and the system health data is greater than or equal to 0.7, and the weight of the system health data is greater than or equal to 0.5. 5. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted equipment according to claim 2 is characterized in that: The target score is the control score; The weight of the external environment data is less than 0.3, and among the weight of the driving behavior data, the weight of the external environment data, the weight of the system health data and the weight of the network security data, the weight of the driving behavior data is the largest. 6. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted devices according to claim 1, characterized in that the data search module generates the true value environment evaluation result of the vehicle based on the perception score, the decision score and the control score in the following manner, including: The preset score pool is used as a first set, and the perception score, the decision score and the control score are used as a second set; Based on the intersection search method, the second set is searched in all subsets of the first set to obtain a first subset; wherein the first subset includes at least three scores, and the difference between any score in the target score pool and at least one of the perception score, the decision score, and the control score is less than a preset difference; Based on the scores included in the first subset, a true value environment evaluation result of the vehicle is generated. 7. The true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted devices according to claim 6, characterized in that the data search module generates the true value environment evaluation result of the vehicle based on the scores included in the first subset in the following manner, including: If the first subset includes only three scores, the three scores included in the first subset are mapped based on a preconfigured mapping relationship between the three scores and the environmental evaluation results to obtain the environmental evaluation result of the vehicle. 8. The intelligent connected vehicle true value environment evaluation system based on vehicle-mounted devices according to claim 6, characterized in that the data search module generates the true value environment evaluation result of the vehicle based on the scores included in the first subset in the following manner, including: If the first subset contains at least four ratings, then all second subsets that can be generated by the first subset are traversed; wherein the second subset contains only three ratings in the first subset, and the ratings contained in different second subsets are not completely the same; Based on the preconfigured mapping relationship between the three scores and the environmental evaluation results, the three scores included in each of the second subsets are mapped respectively to obtain multiple environmental evaluation results; wherein the number of the multiple environmental evaluation results is consistent with the number of the second subsets; Among the plurality of environmental evaluation results, an environmental evaluation result having the most consistent results is used as the environmental evaluation result of the vehicle. 9. The true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted devices according to any one of claims 1 to 8, characterized in that the value range of the perception score, the decision score or the control score is 0 to 1. 10. The true value environment evaluation system for intelligent connected vehicles based on vehicle-mounted equipment according to any one of claims 6 to 8, characterized in that the preset difference is 0.1.