Collision Prediction System Using Vehicle Dimensions
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Solution Overview
Problem
Existing collision prediction systems face challenges in accurately estimating collision positions, particularly when vehicles collide at angles other than a right angle, as they fail to account for the dimensions of the target vehicle, leading to inaccuracies in occupant protection device deployment.
Innovation Solution
A collision prediction system that determines the collision face of the own vehicle based on the traveling direction of the object and estimates the collision position using a collision face determining portion, with a correcting portion that adjusts the position based on the preset size of the object, including its width and length, to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the collision position is determined based on the intersection point of vehicle trajectories without considering the target vehicle dimensions, then the calculation load is reduced, but the collision position estimation accuracy deteriorates
Solution Approach 1:
The system performs preliminary classification of collision types (frontal, side, rear) based on trajectory intersection analysis before detailed collision position calculation. This preliminary action allows the system to select appropriate calculation methods in advance, reducing overall computational load while maintaining accuracy for each collision type
Solution Approach 2:
The system applies different calculation precision levels to different collision scenarios. For frontal collisions, it uses simplified intersection-based calculation, while for side collisions where accuracy is critical, it incorporates target vehicle width and length dimensions. This local quality approach optimizes the balance between calculation speed and accuracy for each specific case
2Device complexity
If the collision position is determined without considering the target vehicle width and length, then the device complexity is reduced, but the collision position estimation accuracy deteriorates in angled collisions
Solution Approach 1:
The system dynamically adjusts the level of detail in collision position calculation based on the detected collision scenario. When a side collision is detected, it activates the more complex calculation mode that incorporates target vehicle dimensions. For frontal collisions, it uses the simpler mode. This dynamic adaptation reduces overall system complexity while maintaining high accuracy when needed
Solution Approach 2:
The system changes the parameters used in collision position calculation based on the collision type. For frontal collisions, it uses only longitudinal position parameters. For side collisions, it introduces transverse position parameters and incorporates target vehicle width and length dimensions. This parameter change approach maintains simplicity for common cases while providing enhanced accuracy for complex scenarios
Data Source
AI summary
A collision prediction system includes a collision face determining unit that determines a collision face of the own vehicle which is presumed to collide with another vehicle, based on a travelling direction of the other vehicle relative to the own vehicle at an estimated collision time at which a collision is presumed to occur, a collision position estimating unit that estimates a collision position as a position of a potential collision between the own vehicle and the other vehicle, based on the collision face determined by the collision face determining unit, and a collision position correcting unit that corrects the collision position estimated by the collision position estimating unit, based on a preset size of the other vehicle.