Vehicular Camera Glare Reduction via Polarization Splitting
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Solution Overview
Problem
Imaging systems in vehicles face challenges in adverse weather conditions due to glare and natural light backscatter, which affect object recognition and differentiation.
Innovation Solution
A vehicular imaging assembly using polarized light, comprising a first and second imaging sensor, a polarizing beam splitter, and an optical element to separate and process reflected and backscattered light, reducing glare and backscatter through pixel-by-pixel image subtraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging systems are used in adverse weather conditions, then the system structure remains simple, but glare and natural light backscatter degrade object recognition accuracy
Solution Approach 1:
The imaging system is segmented into multiple imaging sensors (first imaging sensor, second imaging sensor) that capture light with different polarization states. The polarizing beam splitter divides the incoming light into separate polarization components, allowing independent processing of glare and backscatter signals to improve object recognition accuracy.
Solution Approach 2:
A polarizing beam splitter is introduced as an intermediary component between the scene and the imaging sensors. This intermediary separates the composite light signal into distinct polarization components, enabling the system to selectively process reflected light (with changed polarization) versus backscattered natural light (maintaining original polarization).
2Measurement precision
If multiple imaging sensors and polarization processing components are added, then object recognition in adverse weather improves, but device complexity increases
Solution Approach 1:
The polarizing beam splitter serves multiple functions simultaneously: it separates polarized light components, directs different polarization states to appropriate sensors, and enables the system to process both reflected light and backscattered light through a single optical component, reducing overall system complexity despite the addition of multiple sensors.
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
Enhances object recognition and differentiation in adverse weather by minimizing glare and backscattered light, improving imaging clarity and accuracy.
Implementation Method 1
The reflected circularly polarized light incident at the vehicular camera assembly passes through the optical element and is incident at the PBS as reflected linearly polarized light comprising the first orthogonal polarization state. The first portion and the second portion of the backscattered natural light pass through the optical element.
Implementation Method 2
Light incident at the vehicular camera assembly passes through the optical element to be incident at the PBS. The reflected circularly polarized light incident at the vehicular camera assembly passes through the optical element and is incident at the PBS as reflected linearly polarized light
Data Source
AI summary
A vehicular camera includes first and second imaging sensors respectively capturing first and second image data. Light incident at the camera passes through an optical element to be incident at a polarizing beam splitter (PBS). With the camera disposed at a vehicle, circularly polarized light reflected from an object and backscattered natural light are incident at the camera. First and second portions of the backscattered light respectively have first and second orthogonal polarization states. The circularly polarized light passes through the optical element and is incident at the PBS as linearly polarized light having the first orthogonal polarization state. The PBS directs the linearly polarized light and the first portion of the backscattered light to the first imaging sensor and directs the second portion of the backscattered light to the second imaging sensor. A vehicular vision system detects an object based on processing of the first and second image data.

