CN-121989981-A - Method, system, storage medium for quantifying the effect of a driving assistance system

CN121989981ACN 121989981 ACN121989981 ACN 121989981ACN-121989981-A

Abstract

The present disclosure relates to a method for quantifying the effect of a driving assistance system, comprising collecting driving information of a vehicle, collecting user driving events associated with a user driving behavior without enabling the driving assistance system, and determining, for the driving information, an assistance driving event that the driving assistance system should make if the driving assistance system is involved, and statistically comparing the user driving event and the assistance driving event. The disclosure also relates to a system for quantifying the effect of a driving assistance system, a computer-readable storage medium, a computer program and a motor vehicle.

Inventors

Yi Sifan
MING XINGCHEN
DENG XIAO
WANG CHANGBAI
Xia Mingqian

Assignees

法雷奥舒适驾驶助手公司

Dates

Publication Date: 20260508
Application Date: 20241108

Claims (12)

1.A method for quantifying the effect of a driving assistance system, comprising: -collecting driving information of the vehicle; -in case the driving assistance system is not enabled, collecting user driving events associated with user driving behaviour; -determining, for said driving information, an auxiliary driving event that should be made by said driving assistance system if said driving assistance system is involved, and -Statistically comparing said user driving event and said auxiliary driving event.
2. The method of claim 1, wherein the statistically comparing the user driving event and the auxiliary driving event comprises: -determining actual vehicle driving data from said driving information and said user driving event; Determining optimized vehicle driving data in the event of intervention of the driving assistance system from the driving information and the driving assistance event, and Comparing said actual vehicle travel data with said optimized vehicle travel data, The actual vehicle driving data and the optimized vehicle driving data comprise vehicle energy consumption data, driving time data and vehicle speed data.
3. The method of claim 1, wherein the statistically comparing the user driving event and the auxiliary driving event comprises: -determining an actual abnormal driving condition from the user driving event; determining an optimized abnormal driving condition from the driving assistance event, and -Comparing the actual abnormal driving condition with the optimized abnormal driving condition in terms of amount or length of time.
4. The method of claim 1, wherein the statistically comparing the user driving event and the auxiliary driving event comprises: -determining a user driving score from the driving information and the user driving event; -determining an estimated driving assistance score in case of intervention of the driving assistance system based on the driving information and the driving assistance event, and Comparing the user driving score and the auxiliary driving score, Wherein the user driving score and the auxiliary driving score are associated with an abnormal driving condition.
5. The method of claim 3 or 4, wherein the abnormal driving condition comprises rapid acceleration, rapid braking, rapid cornering, overspeed, fatigue driving, lane departure.
6. The method of claim 4, wherein, The user driving score and the auxiliary driving score include a score related to vehicle energy consumption, a score related to travel time, and a score related to vehicle speed.
7. The method of claim 1, wherein the determining the assisted driving event for the travel information comprises: For the driving information and the user driving event, it is determined that the driving assistance system should make an assisted driving event if the driving assistance system intervenes.
8. The method of claim 1, wherein the statistically comparing the user driving event and the auxiliary driving event comprises: user driving events and auxiliary driving events having the same effect are compared in terms of number and time length.
9. The method of claim 1, wherein the assisted driving event comprises automatic emergency braking, emergency steering assistance, forward travel braking, reverse travel braking, lane correction assistance, emergency lane keeping assistance, lane changing assistance, adaptive cruise, lane centering assistance, congestion assistance, pilot assistance driving.
10. A system for quantifying the effect of a driving assistance system, comprising: -a processing unit for performing the method of any one of claims 1 to 9; -a display unit for displaying the quantified results of the user driving event and the driving assistance event.
11. A computer readable storage medium having stored thereon computer executable instructions for implementing the method of any of claims 1-9 when executed by a processor.
12. A motor vehicle, comprising: a system for quantifying the effect of a driving assistance system according to claim 10, and/or The computer-readable storage medium of claim 11.

Description

Method, system, storage medium for quantifying the effect of a driving assistance system Technical Field The present disclosure relates to the field of driving assistance, in particular to a method, a system, a computer readable storage medium, a computer program and a motor vehicle for quantifying the effect of a driving assistance system. Background A driving assistance system, in particular an Advanced Driving Assistance System (ADAS), is an electronic system in a vehicle that assists a driver using advanced technology. The driving assistance system includes safety functions that sense the surrounding environment using radar, cameras, etc. on-vehicle sensors and the cockpit environment as needed, and then provide information to the user or automatically take action based on the sensed information. There are surveys that there are more than four vehicles on the market that are loaded with a driving assistance system, however, about half of the users who own the driving assistance system do not activate the driving assistance system, for reasons including not knowing how to use the driving assistance system or thinking that activation is not significant, etc. Meanwhile, surveys have shown that the probability that a user who activates the driving assistance system uses the driving assistance system in a subsequent driving process is higher, and the driving assistance system is an important consideration when the user purchases. Therefore, how to encourage users to activate driving assistance systems has significant research value. Disclosure of Invention Embodiments of the present disclosure provide methods, systems, computer-readable storage media, computer programs, and motor vehicles for quantifying the effect of a driving assistance system. The method, system, computer readable storage medium, computer program and motor vehicle quantify the effect of the driving assistance system and statistically compare the user driving course with the driving course assumed to have the driving assistance system interposed, the effect of the driving assistance system can be intuitively expressed in terms of effectiveness, reliability, energy saving, etc., so that the user can be encouraged to activate the driving assistance system. Embodiments of the present disclosure provide a method for quantifying the effect of a driving assistance system, comprising collecting driving information of a vehicle, collecting user driving events associated with user driving behavior without enabling the driving assistance system, determining, for the driving information, an assistance driving event that the driving assistance system should make if the driving assistance system is involved, and statistically comparing the user driving event and the assistance driving event. According to an embodiment of the disclosure, the statistically comparing the user driving event and the driving assistance event comprises determining actual vehicle driving data according to the driving information and the user driving event, determining optimized vehicle driving data in case of intervention of the driving assistance system according to the driving information and the driving assistance event, and comparing the actual vehicle driving data and the optimized vehicle driving data, wherein the actual vehicle driving data and the optimized vehicle driving data comprise vehicle energy consumption data, driving time data and vehicle speed data. According to an embodiment of the disclosure, the statistically comparing the user driving event and the auxiliary driving event includes determining an actual abnormal driving condition from the user driving event, determining an optimized abnormal driving condition from the auxiliary driving event, and comparing the actual abnormal driving condition and the optimized abnormal driving condition in terms of number or length of time. According to an embodiment of the disclosure, the statistically comparing the user driving event and the auxiliary driving event comprises determining a user driving score from the driving information and the user driving event, determining an estimated auxiliary driving score in case of intervention of the driving assistance system from the driving information and the auxiliary driving event, and comparing the user driving score and the auxiliary driving score, wherein the user driving score and the auxiliary driving score are associated with an abnormal driving situation. According to an embodiment of the present disclosure, the abnormal driving condition includes rapid acceleration, rapid braking, rapid turning, overspeed, fatigue driving, and lane departure. According to an embodiment of the present disclosure, the user driving score and the auxiliary driving score include a score related to vehicle energy consumption, a score related to travel time, and a score related to vehicle speed. According to an embodiment of the disclosure, the determining the driving assistance event for