Vehicle Steering Avoidance Path Control via Lateral Acceleration
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Solution Overview
Problem
Current vehicle collision avoidance systems, such as ADAS, face challenges in effectively determining the optimal steering-based avoidance path to prevent collisions with target vehicles, particularly in high-density traffic areas where traffic conditions are complex and dynamic.
Innovation Solution
A vehicle system equipped with a speed detector, detection sensor, and controller that estimates lateral acceleration to determine a steering-based avoidance path, compares it with predetermined thresholds, and sends control signals to adjust the vehicle's speed or steering to avoid collisions, using sensors like radar and LiDAR for accurate target vehicle positioning and speed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If steering-based avoidance control is implemented to avoid collisions in high-density traffic areas, then collision avoidance capability is improved, but system complexity increases due to the need to estimate lateral acceleration and determine avoidance paths
Solution Approach 1:
The system pre-calculates and stores lateral acceleration thresholds (first and second thresholds) corresponding to different steering angles before actual collision avoidance is needed. When a collision risk is detected, the controller directly compares the current lateral acceleration with these pre-set thresholds to determine the appropriate steering angle, avoiding complex real-time calculations and reducing system complexity while maintaining reliable collision avoidance capability
Solution Approach 2:
The system transforms the complex problem of determining optimal avoidance paths into a simpler parameter comparison task by changing the control parameter from continuous path planning to discrete threshold comparison. The lateral acceleration threshold is set according to vehicle characteristics and road conditions, allowing the system to select appropriate steering angles through simple comparison operations rather than complex optimization algorithms
2Measurement precision
If the controller uses multiple lateral acceleration thresholds to determine steering-based avoidance, then control precision is improved, but the complexity of determining the avoidance path increases
Solution Approach 1:
The system uses multiple lateral acceleration thresholds (first threshold, second threshold) corresponding to different steering angles to achieve precise control. The first threshold corresponds to a first steering angle and the second threshold corresponds to a second steering angle, allowing the controller to select the appropriate steering angle by comparing the current lateral acceleration with these pre-set thresholds, thereby achieving precise control without complex path determination algorithms
Solution Approach 2:
The control range is segmented into multiple zones based on different lateral acceleration thresholds. Each threshold zone corresponds to a specific steering angle range, allowing the system to handle different collision risk levels with different pre-determined steering responses. This segmentation simplifies the decision-making process by dividing the continuous control problem into discrete, manageable segments
Data Source
AI summary
A vehicle and method for controlling the same may include a speed detector configured to detect driving speed of the vehicle, a detection sensor configured to detect a target vehicle around the vehicle and obtain information about at least one of position and speed of the target vehicle, and a controller configured to determine a steering-based avoidance path for the vehicle to avoid the target vehicle by being steered, determine a maximum lateral acceleration of the vehicle for the vehicle to avoid the target vehicle in the steering-based avoidance path, and send a control signal for steering-based avoidance of the vehicle to avoid a collision with the target vehicle based on the determined maximum lateral acceleration.