Vehicle Avoidance Control Using Moving Obstacle Behavior Feedback
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Solution Overview
Problem
Current intelligent driving systems inaccurately predict obstacle avoidance due to neglecting potential avoidance actions by obstacles, leading to unnecessary vehicle maneuvers.
Innovation Solution
A method and apparatus that obtain behavior information of moving obstacles, determine an avoidance strategy based on this information, and control vehicle movement to align with the obstacle's actions, considering historical training data and mapping relationships to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the intelligent driving system takes active avoidance measures based on predicted obstacle movement, then collision avoidance capability is improved, but unnecessary vehicle maneuvers occur when obstacles have already taken avoidance actions
Solution Approach 1:
The system introduces feedback by detecting the actual behavior information of the obstacle and using it to verify whether avoidance maneuvers are necessary. The obstacle detection unit continuously monitors obstacle behavior, and this feedback information is fed back to the control unit to adjust or cancel avoidance maneuvers if the obstacle has already taken avoidance actions, thereby eliminating unnecessary vehicle maneuvers while maintaining collision avoidance capability
Solution Approach 2:
The system performs preliminary detection of obstacle behavior information before executing avoidance maneuvers. By predicting obstacle movement trends and detecting current behavior in advance, the system can determine whether avoidance maneuvers are actually needed before executing them, preventing unnecessary actions while maintaining readiness for genuine collision risks
2Speed
If the system predicts obstacle movement based on current state only, then prediction speed is maintained, but prediction accuracy deteriorates due to ignoring obstacle avoidance actions
Solution Approach 1:
The system merges multiple information sources by combining current obstacle state data with detected obstacle behavior information. The obstacle detection unit integrates real-time behavior detection (such as acceleration, deceleration, or steering actions by the obstacle) with the prediction model, creating a more comprehensive prediction framework that maintains speed while significantly improving accuracy by considering whether the obstacle is already taking avoidance actions
Data Source
AI summary
Embodiments of the present disclosure disclose a method and apparatus for avoidance control of a vehicle, an electronic device, and a storage medium, where the method includes: obtaining behavior information of a moving obstacle, where the moving obstacle is located in a direction of movement of the vehicle and a distance between the moving obstacle and the vehicle satisfies a preset avoidance distance; determining an avoidance strategy for the vehicle based on the behavior information of the moving obstacle; and controlling movement of the vehicle based on the avoidance strategy. The method in the embodiments of the present disclosure considers the behavior information of the moving obstacle in the process of avoidance control of the vehicle, and the vehicle can be controlled to travel when the moving obstacle takes an avoidance action, thereby improving the accuracy of avoidance for the vehicle and the practicality of intelligent driving.