Vehicle Collision Avoidance Device Using Predictive Steering Control
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Solution Overview
Problem
Existing collision avoidance systems for vehicles are ineffective in preventing collisions due to immature driving or driver judgment errors, as they may fail to accurately predict collision positions and adjust steering and braking accordingly.
Innovation Solution
A collision avoidance device that includes an obstacle detector and a controller to acquire obstacle position information, predict collision points, and generate control signals for steering and braking based on the detected information, using radar data with angular resolution and velocity detection to determine the necessary steering and braking actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic braking is performed based on simple distance detection, then collision prevention is improved, but steering control capability deteriorates
Solution Approach 1:
The collision avoidance function is segmented into two independent control paths: one for braking (activated when obstacle is in front) and one for steering (activated when obstacle is on side). This segmentation allows each control path to be optimized for its specific function, ensuring reliable collision prevention while maintaining appropriate steering control capability.
Solution Approach 2:
The control system dynamically switches between braking-only mode and steering-only mode based on the detected obstacle position. When the obstacle is detected in the front direction, only braking is activated; when detected in the lateral direction, only steering is activated. This dynamic adaptation ensures optimal collision avoidance performance for each scenario.
2Ease of operation
If steering is performed without accurate collision position prediction, then vehicle maneuverability is improved, but collision avoidance effectiveness deteriorates
Solution Approach 1:
The controller predicts the collision position in advance by calculating the relative positions and movement directions of the vehicle and obstacle. This preliminary prediction allows the system to determine the appropriate steering angle before executing the steering action, ensuring that the steering maneuver is both effective for collision avoidance and optimized for vehicle maneuverability.
3Device complexity
If simple obstacle detection is used, then system complexity is reduced, but collision position prediction accuracy deteriorates
Solution Approach 1:
The obstacle detector is designed with multi-functionality, capable of detecting not only the presence of obstacles but also their precise position, movement direction, and distance. This universal detector serves multiple functions: obstacle detection, collision position prediction, and control decision-making, thereby achieving high prediction accuracy without proportionally increasing system complexity.
Data Source
AI summary
A vehicle acquires position information of the obstacle, identifies a collision point that may collide with the obstacle based on the acquired position information of the obstacle, controls one of steering and braking based on the position information of the identified collision point, and when controlling the steering, acquires a collision avoidance margin distance value corresponding to the position information of the identified collision point, predicts the collision position based on the position information of the obstacle and the information detected by the velocity detector, acquires a distance value between the predicted collision position and the current position, acquires a lateral movement distance value based on the acquired distance value and a preset turning radius of the vehicle, acquires a steering angle based on the acquired lateral movement distance value and the acquired collision avoidance margin distance value and controls steering based on the acquired steering angle.


