Vehicle Collision Judging Device Orientation Analysis
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Solution Overview
Problem
Conventional vehicle collision avoidance systems inaccurately determine the likelihood of collision with targets, as they uniformly assess the risk based on predetermined conditions, failing to account for the target's state, leading to inappropriate collision judgments.
Innovation Solution
A vehicle collision judging device equipped with a target detection sensor and an ECU that determines the orientation and temporal change of targets, calculates the angle between vehicle and target movements, and adjusts collision likelihood based on these factors, allowing for a more accurate assessment of collision risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the likelihood of collision is uniformly determined based on predetermined conditions such as distance, then the determination process is simple, but the accuracy of collision likelihood determination deteriorates
Solution Approach 1:
The patent changes the parameters used for collision likelihood determination from simple distance-based metrics to include orientation parameters (azimuth angle, elevation angle) and their temporal changes. This allows the system to differentiate between targets that are merely close versus targets that pose an actual collision risk, thereby improving determination accuracy without requiring overly complex processing.
Solution Approach 2:
The system performs preliminary detection of target orientation and calculates orientation changes before making the final collision likelihood determination. By pre-processing orientation data and tracking its temporal variations, the system prepares critical information in advance, enabling more accurate collision assessment while maintaining efficient real-time operation.
2Reliability
If the likelihood of collision is determined to be high for all targets meeting predetermined conditions, then the system responds conservatively, but false alarms increase reducing system reliability
Solution Approach 1:
The patent applies local quality by assessing collision risk differently for different targets based on their specific orientation characteristics rather than applying a uniform threshold. Targets are evaluated individually using their unique orientation parameters and temporal changes, allowing the system to distinguish between genuine collision risks and false alarm scenarios, thereby reducing false alarms while maintaining reliability.
3Reliability
If the system monitors all targets meeting distance criteria, then collision risk coverage is comprehensive, but computational load increases
Solution Approach 1:
The system performs partial monitoring by focusing computational resources on targets that exhibit specific orientation characteristics indicating potential collision risk. Rather than uniformly monitoring all distant targets, the system selectively intensifies monitoring for targets whose orientation and temporal changes suggest genuine collision danger, thereby reducing overall computational energy consumption while maintaining comprehensive risk coverage.
Data Source
AI summary
A device for judging a likelihood of a collision between a vehicle and a target is provided. The device comprises: a target detection sensor and an ECU. The ECU comprises: a CPU; an orientation determining unit configured to enable the CPU to determine the orientation of a target relative to a reference vehicle in which the device for judging a likelihood of a collision is mounted, using information which is detected by the target detection sensor; a change-amount detecting unit configured to enable the CPU to detect an amount of temporal change in the orientation of the target; and a determining unit configured to enable the CPU to determine a likelihood of a collision between the reference vehicle and the target under a condition that the amount of temporal change in the orientation of the target is a predetermined threshold or less.