LiDAR Abnormality Determination Using Reflection and Background Light Analysis
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Solution Overview
Problem
Existing LiDAR devices struggle to distinguish and determine the details of abnormalities in their light receivers or emitters, limiting their diagnostic capabilities.
Innovation Solution
An abnormality determination system that acquires reflection and background light images, identifies changes in light intensities, and determines the type of abnormality using a combination of these changes to differentiate between issues in the light emitter and receiver components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only the difference between incident light intensity in light reception target area and non-light reception target area is used for abnormality determination, then the determination process is simple, but the abnormality type cannot be distinguished in detail
Solution Approach 1:
The patent segments the abnormality determination process into multiple independent analysis dimensions: reflection light intensity change detection, background light intensity change detection, and their combination analysis. This segmentation allows the system to maintain simple individual detection processes while achieving detailed abnormality type identification through the combination of multiple detection results
Solution Approach 2:
The patent adds a new dimension to abnormality determination by introducing background light intensity change detection alongside the existing reflection light intensity change detection. This dimensional expansion transforms the single-dimensional determination into a two-dimensional analysis space, enabling differentiation between abnormality types without significantly increasing system complexity
2Measurement precision
If reflection light image and background light image are both acquired and analyzed, then abnormality type determination accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent segments the image processing into distinct functional modules: reflection light image acquisition module, background light image acquisition module, reflection light intensity change detection module, and background light intensity change detection module. Each module performs a specific function independently, which maintains processing clarity and reduces overall system complexity despite handling multiple images
Solution Approach 2:
The patent implements partial action by focusing detection on specific intensity changes rather than analyzing all image parameters. The system selectively monitors only the intensity dimension of reflection and background lights, ignoring other potential image features, thereby achieving effective abnormality detection without exhaustive processing
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
Enables more detailed abnormality determination in LiDAR devices by distinguishing between changes in reflection and background light intensities, improving diagnostic accuracy and reliability.
Implementation Method 1
a reflection light image representing intensity distribution of reflection light that is obtained by reflection of light irradiated by a light emitter towards a detection area and detected by a light reception element
Data Source
AI summary
By an abnormality determination device, an abnormality determination method, and a non-transitory computer-readable storage medium storing an abnormality determination program, a reflection light image and a background light image are acquired, presence or absence of a reflection light intensity change and presence or absence of a background light intensity change are identified, and an abnormality type of the LiDAR device is determined using a combination of the presence or the absence of the reflection light intensity change and the presence or the absence of the background light intensity change.