Dual On-Vehicle Cameras With Polarizer for Glare Object Detection
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Solution Overview
Problem
Vehicle cameras often capture saturated images due to high light reflection, particularly from traffic lights and sunrise/sunset conditions, leading to inaccurate object detection by processors.
Innovation Solution
Employing two cameras with overlapping fields of view, one with a polarizer to reduce brightness and another without, allowing for dynamic range enhancement through luminance adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single camera is used for object detection, then the device complexity is low, but the measurement precision deteriorates under high light reflection conditions
Solution Approach 1:
The system divides the imaging function into two specialized cameras: one with a polarizer for reducing light reflection and another without for capturing standard images. This segmentation allows each camera to be optimized for specific lighting conditions, improving overall object detection accuracy across varying environments.
Solution Approach 2:
The polarizer is applied locally to only one of the two cameras rather than uniformly to all sensors. This local quality approach allows the system to reduce light reflection where needed (in high glare conditions) while maintaining standard imaging capabilities in other conditions, optimizing performance for specific local requirements.
2Object-affected harmful factors
If a polarizer is added to the camera, then the luminance of reflected light is reduced, but the luminance of the captured image decreases
Solution Approach 1:
The system changes the optical parameters by introducing a polarizer that selectively reduces the luminance of reflected light while allowing other light components to pass through. This parameter change enables the camera to differentiate between harmful reflected light and useful scene illumination, reducing glare effects while preserving overall image brightness.
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
The system effectively mitigates image saturation, enabling accurate object detection in varying light conditions by adjusting luminance and enhancing depth extraction.
Implementation Method 1
a first camera with a polarizer that lowers the luminance of the light the camera captures
Data Source
AI summary
Systems and methods to enhance vehicle object detection capability are provided. The vehicle may include a first sensor coupled with a body of the vehicle, the first sensor having a first field of view and the first sensor comprising a polarizer. The vehicle may include a second sensor coupled with the body of the vehicle, the second sensor having a second field of view. The first field of view and the second field of view can at least partially overlap. The vehicle may include a processor coupled with memory. The processor can receive a first image captured by the first sensor and a second image captured by the second sensor. The processor can determine a luminance of light ratio associated with the first image and the second image, and can modify an image processing technique.