Driving behavior prediction method and device, electronic equipment and storage medium

By obtaining and analyzing the driving status information and speed limit values ​​of other vehicles around the target vehicle, and combining the driving behavior prediction database to predict the driving behavior and safety risk level of the target vehicle, the problem of inaccurate driving behavior prediction in the prior art is solved and driving safety is improved.

CN119636759AActive Publication Date: 2025-03-18CHONGQING SELIS PHOENIX INTELLIGENT INNOVATION TECH CO LTD
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Patent Information

Application Number
CN202510119476.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2025-03-18
Estimated Expiration
2045-01-24

AI Technical Summary

Technical Problem

The existing driving assistance technology lacks the collection and early warning of the driving trajectories of other vehicles during driving, resulting in insufficient prediction of driving behavior and affecting driving safety.

Method used

By obtaining the driving status information of other vehicles around the target vehicle and the speed limit value of the current road section, determining the driving categories of other vehicles, and inputting the current driving speed of the target vehicle, the relative distance between other vehicles and the target vehicle, and the driving categories of other vehicles to match it, we obtain the prediction results of predicted driving behavior and safety risk levels.

Benefits of technology

It achieves more accurate prediction of driving behavior, improves driving safety, and provides higher accuracy driving assistance.

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Abstract

The invention provides a driving behavior prediction method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent driving. Driving state information of other vehicles around a target vehicle and a speed limit value of a current road section are acquired; the driving state information comprises speed information of other vehicles and relative distances between the other vehicles and the target vehicle; according to the speed information of the other vehicles and the speed limit value, the driving types of the other vehicles are determined; and inputting the current driving speed of the target vehicle, the relative distances between the other vehicles and the target vehicle and the driving types of the other vehicles into a driving behavior prediction database for matching to obtain a predicted driving behavior of the target vehicle and a prediction result of the corresponding safety risk level. Therefore, the driving behavior is comprehensively judged according to the current driving speed of the target vehicle, the relative distance between the other vehicles and the target vehicle and the driving types of the other vehicles, and driving assistance with higher accuracy is provided for a driver.
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