3D Object Detection Device Headlight Interference
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Solution Overview
Problem
Conventional three-dimensional object detection systems struggle to accurately detect vehicles in adjacent lanes at night due to the interference of bright headlights, especially when the camera lens is dirty, leading to irregular reflections and increased luminance around the headlights, which can result in the misidentification of light from adjacent vehicles as vehicles present in the adjacent lane.
Innovation Solution
The system detects the light source behind the host vehicle and adjusts the detection threshold levels to prevent errant detection of vehicles near the headlights, allowing for the accurate detection of vehicles by focusing on the tire/wheel of adjacent vehicles positioned rearward from the headlights, using a combination of camera positioning, threshold value mapping, and luminance analysis to differentiate between vehicle presence and light reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detection threshold is lowered to detect vehicles near headlights, then vehicle detection sensitivity is improved, but false detection of headlights as vehicles increases
Solution Approach 1:
The patent applies local quality by setting different detection thresholds for different spatial regions. Specifically, a first threshold value is used for areas forward from the light source line (where headlights appear) and a second threshold value is used for areas rearward from the light source line (where vehicle tires/wheels appear). This regional differentiation allows the system to maintain high sensitivity in vehicle detection zones while preventing false detections in headlight zones.
Solution Approach 2:
The detection area is segmented into multiple regions based on the light source position. The system divides the detection area into a first area (forward from light source) and a second area (rearward from light source), applying different detection criteria to each segment. This segmentation enables independent optimization of detection parameters for each region, resolving the contradiction between sensitivity and false detection.
2Reliability
If the detection threshold is raised to prevent false detection near headlights, then false detection rate is reduced, but vehicle detection sensitivity decreases
Solution Approach 1:
The patent applies local quality by setting different detection thresholds for different spatial regions. Specifically, a first threshold value is used for areas forward from the light source line (where headlights appear) and a second threshold value is used for areas rearward from the light source line (where vehicle tires/wheels appear). This regional differentiation allows the system to maintain high sensitivity in vehicle detection zones while preventing false detections in headlight zones.
Solution Approach 2:
The detection area is segmented into multiple regions based on the light source position. The system divides the detection area into a first area (forward from light source) and a second area (rearward from light source), applying different detection criteria to each segment. This segmentation enables independent optimization of detection parameters for each region, resolving the contradiction between sensitivity and false detection.
3Area of stationary object
If the detection area includes areas forward from headlights, then complete vehicle detection is achieved, but interference from headlight reflections increases
Solution Approach 1:
The patent applies local quality by setting different detection thresholds for different spatial regions. Specifically, a first threshold value is used for areas forward from the light source line (where headlights appear) and a second threshold value is used for areas rearward from the light source line (where vehicle tires/wheels appear). This regional differentiation allows the system to maintain high sensitivity in vehicle detection zones while preventing false detections in headlight zones.
Solution Approach 2:
The patent converts the harmful effect of headlight reflections into a useful feature by using the light source position as a reference to define the light source line. This line serves as a boundary that separates the detection area into regions with different detection criteria. The headlight position, which was previously a source of interference, becomes a key reference point for optimizing detection parameters and improving overall detection accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively prevents the misidentification of headlights as vehicles and ensures accurate detection of adjacent vehicles, even under conditions of high luminance due to dirty lenses or reflections, by setting higher detection thresholds in areas where the light source is present and lower thresholds in areas where the vehicle's tire/wheel is likely to be found.
Implementation Method 1
detecting another vehicle traveling in an adjacent lane using an image in which the rearward of a host vehicle has been captured
Implementation Method 2
when the lens of a capture device is dirty, the light from the headlights of another vehicle traveling in an adjacent-adjacent lane is irregularly reflected, the luminance around the headlights is increased
Data Source
AI summary
A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a light source detection unit and a control unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the adjacent lane. The three-dimensional object detection unit determines the presence of the three-dimensional object within the adjacent lane-when the difference waveform information is at a threshold value or higher. The control unit set a threshold value higher so that the three-dimensional object is more difficult to detect in a forward area than rearward area with respect to a line connecting the light source and the image capturing unit when the light source has been detected.