3D Object Detection Device Speed-Based Lens Contamination Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing three-dimensional object detection systems face challenges in accurately identifying adjacent vehicles when mud or foreign matter is deposited on the camera lens, particularly in low luminance conditions, leading to errant detection of such debris as vehicles.
Innovation Solution
The system compares the travel speed of detected objects with the host vehicle's speed and modifies detection thresholds to suppress assessment of objects as adjacent vehicles when their speed is equal to or less than the host vehicle's speed or within a prescribed difference, preventing misidentification of mud or foreign matter as vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detection sensitivity is increased to detect adjacent vehicles in low luminance conditions, then detection capability is improved, but false detection of foreign matter on the lens increases
Solution Approach 1:
The system changes detection parameters dynamically based on luminance conditions and speed comparisons. In low luminance conditions, the system adjusts detection thresholds and uses speed-based filtering to distinguish between stationary foreign matter on the lens and moving adjacent vehicles, thereby maintaining detection capability while reducing false detections
Solution Approach 2:
The system uses feedback from multiple detection cycles to improve reliability. By continuously monitoring detection results, luminance levels, and speed data, the system adjusts its detection criteria to reduce false positives from lens contamination while maintaining sensitivity to actual vehicles
2Measurement precision
If detection threshold is lowered to identify adjacent vehicles in low light, then detection accuracy is improved, but misidentification of foreign matter as vehicles increases
Solution Approach 1:
The system dynamically adjusts detection parameters including threshold values based on luminance conditions and speed comparisons. When foreign matter is detected but speed comparison indicates it matches host vehicle speed (suggesting lens contamination), the system modifies detection thresholds to suppress false identification while maintaining accuracy for actual vehicles
Solution Approach 2:
The system introduces speed comparison as an intermediary criterion between image detection and final vehicle identification. This intermediate check helps distinguish between actual vehicles (which may have different speed profiles) and foreign matter on the lens (which moves with the host vehicle), thereby reducing errant detection
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A three-dimensional object detection device characterized in being provided with a three-dimensional object detection means (33) for detecting a three-dimensional object based on captured images, and calculating the traveling speed of the three-dimensional object, a light source detection means (35) for detecting a light source corresponding to a headlight of another vehicle, and a control means (37) which, in the event that a light source corresponding to a headlight of another vehicle has not been detected, and additionally the traveling speed of the three-dimensional object is equal to or less than the traveling speed of the host vehicle, or the difference between the traveling speed of the three-dimensional object and the traveling speed of the host vehicle is less than a predetermined value, suppresses detection of the three-dimensional object based on differential waveform information.