LiDAR Polarization Separation for Virtual Image Rejection
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Solution Overview
Problem
Conventional LiDAR distance measurement technologies inaccurately detect objects due to reflections from high-reflectivity surfaces, erroneously measuring virtual images instead of actual objects.
Innovation Solution
A measurement device that polarization-separates reflected laser light into TE and TM polarized light, allowing for accurate object recognition and differentiation between reflection surfaces and actual objects based on polarization component ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional LiDAR measures distance using reflected light from high-reflectivity surfaces, then the measurement covers all reflective surfaces, but virtual images are erroneously detected as actual objects
Solution Approach 1:
The patent applies polarization state changes to distinguish between virtual images and actual objects. By analyzing the polarization components (s-polarized and p-polarized light) of reflected light, the system identifies characteristic polarization patterns that differentiate real objects from virtual images formed by reflection surfaces
Solution Approach 2:
The patent introduces polarization analysis as an intermediary mechanism between light reception and object recognition. The polarization-separating unit and analysis unit act as intermediaries that process the reflected light to extract polarization state information, which then guides the object recognition unit to correctly identify actual objects while excluding virtual images
2Quantity of substance
If LiDAR detects all reflected light signals, then comprehensive data is collected, but erroneous detection of objects on light beam extensions occurs
Solution Approach 1:
The patent changes the measurement parameter from simple light intensity to polarization state. By measuring the polarization components of reflected light and analyzing their ratios, the system transforms the detection parameter to include information about the reflection path, enabling distinction between direct reflection from actual objects and reflection from virtual images
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 solution enables precise distance measurement by correctly identifying and avoiding virtual image detections, improving accuracy in environments with high-reflectivity surfaces.
Implementation Method 1
a receiving unit configured to receive reflected light of laser light reflected by a target object and polarization-separates the received reflected light into first polarized light and second polarized light
Data Source
AI summary
A measurement device according to an embodiment includes: a receiving unit (100, 102) that receives reflected light of laser light reflected by a target object and polarization-separates the received reflected light into first polarized light and second polarized light, and a recognition unit (122) that performs object recognition on the target object on the basis of the first polarized light and the second polarized light.