Rear Collision Alert Thresholds Adapted to Distance and Approach Angle
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Solution Overview
Problem
Existing rear-end collision alert systems often generate false alerts due to uncertainty in predicting the path of approaching objects, especially when they are far away or approaching at an angle, leading to decreased reliance and efficacy of the alerts.
Innovation Solution
The system adapts a collision threshold for activating alerts based on characteristics such as distance and angle of approach, modifying the lateral position threshold to avoid false alerts by adjusting the distance and angle criteria for alert activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the collision threshold is set to be sensitive to detect all potential collisions, then the detection coverage is improved, but false alerts increase due to uncertainty in path prediction at greater distances and angles
Solution Approach 1:
The patent applies dynamics by making the collision threshold adaptive rather than static. The threshold dynamically adjusts based on the target object's distance and angle of approach characteristics. When distance exceeds a threshold or angle exceeds a threshold, the collision threshold is modified to account for increased path prediction uncertainty, thereby reducing false alerts while maintaining detection sensitivity for high-risk scenarios
Solution Approach 2:
The patent changes the parameter of collision threshold based on other parameters (distance and angle). By monitoring distance and angle characteristics and modifying the collision threshold accordingly, the system adapts its sensitivity to match the uncertainty level of path prediction, resolving the contradiction between detection coverage and false alert reduction
2Ease of operation
If a fixed collision threshold is used for all scenarios, then the system is simple to operate, but it cannot account for varying uncertainty in path prediction at different distances and angles
Solution Approach 1:
The system transitions from a static fixed threshold to a dynamic adaptive threshold that automatically adjusts based on measured characteristics (distance and angle). This dynamic adjustment occurs transparently without requiring manual intervention, maintaining ease of operation while improving measurement precision by matching threshold sensitivity to actual prediction uncertainty in each scenario
3Reliability
If the alert system activates for all detected approaching objects, then the safety coverage is maximized, but the efficacy decreases due to alert fatigue from false alerts
Solution Approach 1:
The patent applies local quality by applying different collision thresholds to different target objects based on their specific characteristics (distance and angle). Instead of a uniform threshold, each target receives a customized threshold appropriate to its risk profile, maintaining high safety coverage for genuine threats while filtering out false alerts from low-risk scenarios, thus preserving alert efficacy
Data Source
AI summary
Systems, methods, and other embodiments described herein relate to improving alert activation for rear collision avoidance. In one embodiment, a method includes, responsive to detecting a target object that is located behind a subject vehicle, determining, by the subject vehicle, characteristics about the target object. The method includes modifying a collision threshold for activating an alert directed to the target object according to the characteristics.