Vehicle Collision Prediction for Preceding Vehicle U-Turns
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Solution Overview
Problem
Existing vehicle collision prediction systems fail to accurately predict collisions when a preceding vehicle is executing a U-turn, leading to delayed collision prediction and increased collision risk.
Innovation Solution
A vehicle collision prediction apparatus that expands the collision prediction region when a preceding vehicle satisfies predetermined U-turn conditions, using a combination of sensors and U-turn condition criteria to adjust the prediction region dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the collision prediction region is expanded to cover U-turn scenarios, then the accuracy of collision prediction for U-turn vehicles is improved, but the false prediction rate for non-U-turn vehicles increases
Solution Approach 1:
The collision prediction region is dynamically adjusted based on detected U-turn conditions. When U-turn conditions are satisfied, the prediction region is expanded to a larger area including both lanes; when not satisfied, it remains as a smaller region in the same lane. This dynamic adjustment resolves the contradiction by adapting the prediction region size to the actual situation, improving accuracy for U-turn vehicles while maintaining reliability for normal driving scenarios
Solution Approach 2:
The system changes the spatial parameters of the collision prediction region based on detected conditions. By detecting U-turn conditions (such as vehicle position, speed, and direction changes) and adjusting the prediction region parameters accordingly, the system achieves high prediction accuracy for U-turn scenarios without causing excessive false alarms in normal driving conditions
2Device complexity
If a fixed collision prediction region is used, then the system complexity is reduced, but the ability to accurately predict collisions in varying driving scenarios deteriorates
Solution Approach 1:
Instead of using a fixed collision prediction region, the system implements a dynamic region that automatically adjusts its size and shape based on detected U-turn conditions. This dynamic approach maintains relatively simple system architecture while significantly improving prediction accuracy for different driving scenarios, as the region adapts to the actual traffic situation without requiring complex manual configuration
Data Source
AI summary
A vehicle collision prediction apparatus, installable to a host vehicle that is equipped with a peripheral sensor for detecting a preceding vehicle, includes a collision prediction region setting section that sets a collision prediction region in front of the host vehicle and a collision prediction section which predicts that there is a probability of a collision between the host vehicle and the preceding vehicle if the preceding vehicle is within the collision prediction region; wherein in response to the preceding vehicle satisfying predetermined U-turn conditions for estimating that the preceding vehicle is executing a U-turn, the collision prediction region setting section expands the collision prediction region, making the collision prediction region larger than in response to the preceding vehicle not satisfying the U-turn conditions.