Vehicle Collision Avoidance Path Calculation for Moving and Stationary Obstacles
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Solution Overview
Problem
Conventional collision avoidance support devices calculate avoidance paths without distinguishing between moving and stationary obstacles, leading to unstable vehicle behavior and unnecessary turning radius when encountering stationary objects.
Innovation Solution
A collision avoidance support device that includes target detection, type determination, obstacle determination, and automatic control means to calculate and execute different avoidance paths based on whether an obstacle is a moving or stationary object, adjusting the distance margin and turning radius accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the collision avoidance support device calculates the avoidance path without considering whether the obstacle is a moving object or a stationary object, then the device complexity is reduced, but the vehicle behavior stability deteriorates when the obstacle is a stationary object
Solution Approach 1:
The invention segments the obstacle classification into two distinct categories: moving objects and stationary objects. The obstacle classification unit divides the avoidance path calculation into separate processing branches based on obstacle type, allowing each branch to apply optimized parameters specific to its category, thereby resolving the contradiction between system simplicity and behavioral stability
Solution Approach 2:
The invention dynamically adjusts the avoidance path calculation parameters based on the detected obstacle type. When a stationary object is detected, the system switches to a calculation mode that prioritizes stability with appropriate distance margins. When a moving object is detected, the system adapts to different margin requirements. This dynamic parameter adjustment maintains vehicle behavior stability without requiring permanently complex systems
2Reliability
If the collision avoidance support device uses a large distance margin for all obstacles, then the collision avoidance reliability is improved, but the turning radius of the vehicle becomes larger than necessary for stationary objects
Solution Approach 1:
The invention applies the local quality principle by setting different distance margin parameters for different obstacle types. For stationary objects, a smaller distance margin is applied locally, allowing tighter turning radii where appropriate. For moving objects, a larger distance margin is applied locally to ensure adequate safety clearance. This localized parameter optimization resolves the contradiction between reliable collision avoidance and excessive turning radius
Solution Approach 2:
The invention changes the distance margin parameter based on obstacle type classification. The obstacle classification unit triggers different parameter sets: one optimized for stationary objects with smaller margins and tighter turning radii, and another for moving objects with larger margins and more conservative paths. This parameter adaptation maintains collision avoidance reliability while preventing unnecessarily large turning radii
3Productivity
If the collision avoidance support device calculates the avoidance path without considering obstacle movement, then the calculation speed is improved, but the collision avoidance reliability deteriorates when the obstacle is a moving object
Solution Approach 1:
The invention segments the calculation process into two distinct pathways based on obstacle type. The obstacle classification unit directs moving objects to a calculation mode that accounts for potential movement and trajectory changes, while stationary objects follow a simpler calculation path. This segmentation maintains high calculation speed by avoiding unnecessary complexity for stationary objects while ensuring reliability for moving objects
Solution Approach 2:
The invention dynamically selects the appropriate calculation methodology based on real-time obstacle classification. When a moving object is detected, the system activates a dynamic calculation mode that considers potential movement and adjusts the avoidance path accordingly. When a stationary object is detected, a static calculation mode is used for faster processing. This dynamic adaptation resolves the contradiction between calculation speed and reliability
Data Source
AI summary
A collision avoidance support device comprises: target detection unit for detecting an target existing in front of a vehicle travelling on a road; target type determination unit for detecting which of a moving object and a stationary object the target detected by the target detection unit is; obstacle determination unit for determining whether or not the target detected by the target detection unit is an obstacle which is likely to collide with the vehicle; and traveling direction automatic control unit. The traveling direction automatic control unit is configured to calculate the selected avoidance path so that the distance margin of when the obstacle determination unit determines that the obstacle is the moving object is larger than the distance margin of when the obstacle determination unit determines that the obstacle is the stationary object.