Vehicle Obstacle Detection Tracking Point Extension
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Solution Overview
Problem
Existing vehicle obstacle detection systems fail to reliably prevent collisions with obstacles in blind spots, particularly for inexperienced drivers, as they struggle to maintain accurate tracking and warning signals when obstacles move out of the detection range.
Innovation Solution
A system and method that utilize a detection sensor to form a tracking point for obstacles within a detection range, extending and tracking this point when it deviates from the range to maintain a warning signal, predicting collision points and times based on movement direction and speed, and adjusting warning signal termination based on changing angles and speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the tracking point is extended beyond the detection range to maintain warning signals, then the reliability of collision prevention is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary action by extending the tracking point beyond the detection range before the obstacle actually enters the collision zone. This allows the warning signal to be maintained continuously, giving the driver advance notice and ensuring reliable collision prevention. The tracking point extension is calculated based on predicted collision time and distance, enabling proactive warning rather than reactive response.
Solution Approach 2:
The tracking point serves as an intermediary element that bridges the gap between the detection range and the actual collision point. By extending this virtual tracking point beyond the physical detection range, the system maintains continuous monitoring and warning capability without requiring additional physical sensors or detectors in the extended area.
2Reliability
If the warning signal is maintained for extended tracking points, then the reliability of obstacle warning is improved, but the driver fatigue increases
Solution Approach 1:
The warning signal duration and intensity are made dynamic rather than static. The system adjusts the warning signal based on real-time parameters such as predicted collision time, distance to obstacle, and relative speed. This dynamic adjustment ensures the warning is maintained only as long as necessary for safety while avoiding unnecessary prolonged warnings that would cause driver fatigue.
Solution Approach 2:
The system changes parameters such as warning signal activation threshold, extension length of tracking point, and signal termination conditions based on multiple factors including obstacle speed, distance, and angle. By optimizing these parameters, the system maintains reliable warning coverage while minimizing unnecessary signal duration that would contribute to driver fatigue.
3Ease of operation
If the tracking point is extended by a fixed preset length, then the ease of operation is improved, but the measurement precision of collision prediction deteriorates
Solution Approach 1:
The system dynamically changes the tracking point extension length based on multiple parameters including predicted collision time, relative speed between vehicle and obstacle, and distance to collision point. This parameter-based adjustment allows the extension length to adapt to different driving scenarios, maintaining both ease of operation through automated calculation and high measurement precision through context-aware optimization.
Data Source
AI summary
A system for detecting an obstacle includes a detection sensor configured to detect a movement direction or movement speed of a target within a detection range of a vehicle, and form a tracking point for the detected target to track a movement of the target; and a controller configured to extend and track the tracking point based on the movement direction or the movement speed of the target tracked when the tracking point deviates from the detection range.