Overlapping Radar-Camera Detection for Vehicle Motion Start Recognition
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Solution Overview
Problem
Existing surroundings monitoring systems equipped with millimeter wave radar and image sensors often incorrectly determine that an object has started to move when it has not, due to detection errors, especially when vehicles are halted.
Innovation Solution
An information processing apparatus with multiple detection units, including cameras and radar devices, that overlap in detection range, determines object movement by satisfying specific conditions related to speed and position based on detection results from multiple sources, reducing the likelihood of erroneous determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single detection unit is used to determine object movement, then the system is simple and fast, but the determination accuracy deteriorates due to detection errors
Solution Approach 1:
The patent combines detection results from multiple detection units (first detection unit and second detection unit with overlapping detection ranges) to determine object movement. By merging their observations, the system achieves more reliable movement detection while maintaining manageable complexity through coordinated operation of the units.
Solution Approach 2:
The determination unit uses feedback from multiple detection units to verify movement detection. When both detection units indicate movement, the system confirms the object has started moving, reducing false positives while maintaining responsive detection through the feedback mechanism.
2Reliability
If multiple detection units with overlapping ranges are used, then the determination accuracy improves, but the system complexity increases
Solution Approach 1:
The patent merges detection results from multiple units with overlapping ranges to improve reliability. The first and second detection units cover overlapping areas, and their combined observations provide more reliable movement detection while the overlap ensures comprehensive coverage.
Solution Approach 2:
The detection system is segmented into multiple specialized detection units, each responsible for specific detection tasks within their ranges. This segmentation allows the system to distribute the detection workload and improve overall reliability through redundant observation of the same area.
3Measurement precision
If movement determination is based on multiple conditions, then the false positive rate decreases, but the processing time increases
Solution Approach 1:
The determination unit applies multiple conditions (speed threshold, position change threshold, detection unit agreement) to movement determination. By requiring satisfaction of multiple conditions, the system achieves higher precision in detecting actual movement while filtering out false positives from detection errors.
Data Source
AI summary
An information processing apparatus includes a first detection unit which detects an object around a vehicle, a second detection unit of which at least a part of a detection range overlaps a detection range of the first detection unit and which detects an object around the vehicle, and a determination unit which determines whether or not the object has started to move on the basis of detection results of the first detection unit and the second detection unit. The determination unit determines that the object has started to move in a case in which the vehicle and the object are in a halted state when a detection result of the first detection unit indicates that the object has started to move and a detection result of the second detection unit indicates that the object has started to move.