Blind Spot Detection Using Cross-Cycle Object Tracking
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Solution Overview
Problem
Existing blind spot detection systems often mistakenly identify moving objects traveling at similar velocities to the ego vehicle as static objects, leading to incorrect alerts.
Innovation Solution
A blind spot detection control apparatus that uses detection parameters to compare current and previous detection cycles, setting a reference moving object based on similarity in position and velocity, and maintains a warning timer to ensure accurate alerts even if the object exits the detection zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blind spot detection systems compare detection parameters of current target object with reference moving object to improve detection accuracy, then misidentification of moving objects as static is reduced, but system complexity increases due to parameter comparison and reference object management
Solution Approach 1:
The system pre-identifies and stores reference moving objects during detection cycles before making detection judgments. By preparing reference data in advance, the system enables accurate comparison with current target objects, improving detection precision while managing complexity through structured data organization
Solution Approach 2:
The system compares multiple detection parameters (position, velocity, acceleration) between current target objects and reference moving objects. By monitoring changes in these parameters over time, the system can distinguish moving objects from static objects, thereby improving measurement precision through multi-parameter analysis
2Reliability
If warning is continued to be output after object exits blind spot zone based on timer, then alert reliability is improved for objects traveling at similar velocities, but loss of time occurs due to extended warning duration
Solution Approach 1:
The system sets a timer in advance when an alert object is identified, pre-determining the warning duration based on the object's velocity and trajectory. This preliminary timing action ensures the warning continues reliably after the object exits the detection zone without requiring continuous monitoring, thus improving reliability while managing time loss
Solution Approach 2:
The warning duration is dynamically adjusted based on the object's velocity relative to the ego vehicle. Objects traveling at similar velocities to the ego vehicle receive extended warning periods, while other objects receive standard warning durations. This dynamic approach improves alert reliability for critical cases without unnecessarily extending warnings in all scenarios
Data Source
AI summary
A blind spot detection control apparatus for a vehicle, configured for judging whether an object detected during a detection cycle in blind spot zone of the vehicle is an alert object, for outputting a result of judgement to a warning which warns a driver of vehicle that an object is present in blind spot zone based on judging that object detected in blind spot zone is an alert object, wherein apparatus is configured to judge whether an object detected in blind spot zone is an alert object by comparing detection parameters relating to a current target object detected in blind spot zone during a current detection cycle with detection parameters relating to a reference moving object corresponding to a target object detected in blind spot zone at least during a previous detection cycle.