Intersection Collision Mitigation via Dynamic Target Area Segmentation
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Solution Overview
Problem
Existing collision mitigation systems are ineffective in preventing malfunctions at intersections, as they primarily focus on scenarios where the vehicle is traveling on a curve and do not adequately address right or left turns.
Innovation Solution
A collision mitigation apparatus that includes right or left turn information acquisition, area setting, and obstacle presence determination to set a target area on the predicted route of the vehicle at an intersection, triggering mitigation outputs when obstacles are present or entering this area during turns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the collision mitigation apparatus only supports curves, then the device complexity is reduced, but the adaptability to different driving scenarios (intersections) deteriorates
Solution Approach 1:
The collision mitigation apparatus is enhanced to handle multiple driving scenarios including both curves and intersections. The system uses a unified control unit that can process different scenario types (curve detection, intersection detection via map information, obstacle detection) through a single multi-functional architecture, eliminating the need for separate specialized systems for each scenario.
Solution Approach 2:
The system dynamically adjusts its operational mode based on the detected scenario type. The control unit determines whether the vehicle is on a curve or approaching an intersection, and dynamically switches between curve-based mitigation strategies and intersection-based mitigation strategies, allowing the system to adapt its behavior to the current driving context.
2Reliability
If the target area is set broadly at intersections, then the obstacle detection coverage is improved, but the false positive rate increases
Solution Approach 1:
The target area at intersections is segmented into multiple sub-areas corresponding to different predicted routes (left turn route, straight route, right turn route). The control unit divides the intersection into regions based on the vehicle's intended direction, and only monitors obstacles within the relevant segmented region. This segmentation reduces false positives by focusing detection resources on the actual predicted path while maintaining comprehensive coverage of relevant areas.
Solution Approach 2:
The system applies different detection criteria and target area definitions to different local regions of the intersection based on the predicted route. For example, when a left turn is predicted, the target area is concentrated on the left side of the intersection; when straight ahead is predicted, the target area extends forward. This local quality approach ensures high detection accuracy in the relevant local region without unnecessarily monitoring irrelevant areas that would cause false positives.
Data Source
AI summary
A collision mitigation apparatus is mounted to an own vehicle and mitigates a collision between the own vehicle and an obstacle. The collision mitigation apparatus acquires information indicating that the own vehicle will make a right turn or a left turn at an intersection. When the information indicating that the own vehicle will make the right turn or the left turn at the intersection is acquired, the collision mitigation apparatus sets a target area on a predicted route of the own vehicle at the intersection. The collision mitigation apparatus determines whether or not an obstacle that becomes an obstacle for travelling of the own vehicle is present in or is entering the target area. When the obstacle is present in or is entering the target area, the collision mitigation apparatus performs output to mitigate a collision between the own vehicle and the obstacle.