Multi-Emitting LiDAR Abnormal Position Detection
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Solution Overview
Problem
Existing methods for detecting surface abnormalities, such as those using LiDAR sensors, struggle to accurately identify actual deformations in structures due to synchronization issues and measurement errors, leading to potential missed or false positives in deformation detection.
Innovation Solution
A device and method that utilize a distance measuring device with multiple emitting sections to extract parts of a surface with abnormal changes based on reflection signals, and specify regions with consistent abnormal changes across multiple emitting sections, thereby reducing measurement errors and enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple LiDAR sensors are used to detect surface abnormalities, then measurement coverage is improved, but synchronization and data correlation become more complex leading to reduced measurement precision
Solution Approach 1:
The invention divides the measurement task by assigning different emitting sections to detect different regions of the subject. Each emitting section independently extracts abnormal parts from its own measurement data, and then the abnormal position specifying section integrates results from multiple sections. This segmentation approach maintains measurement precision while achieving comprehensive coverage.
Solution Approach 2:
The abnormal position specifying section acts as an intermediary that receives extraction results from multiple emitting sections and determines the final abnormal position. This intermediary component correlates data from different sections without requiring complex synchronization between the emitting sections themselves, thus maintaining measurement precision while enabling multi-section coverage.
2Reliability
If data from multiple emitting sections is correlated to identify actual deformations, then false positives are reduced, but the complexity of data processing increases
Solution Approach 1:
The data processing is segmented into distinct stages: each emitting section independently extracts abnormal parts from its measurement data, then the abnormal position specifying section integrates these extraction results to determine final abnormal positions. This segmentation simplifies the overall processing complexity while maintaining high detection reliability through multi-section correlation.
Solution Approach 2:
Each emitting section extracts only the abnormal parts from its measurement data, separating the abnormal detection task from general data processing. This extraction approach reduces the complexity of subsequent correlation operations by focusing only on relevant abnormal regions rather than processing all measurement data from multiple sections.
3Productivity
If abnormal parts are extracted for each emitting section independently, then processing efficiency is improved, but the ability to identify actual deformations with high confidence decreases
Solution Approach 1:
The independent extraction of abnormal parts by each emitting section maintains processing efficiency, while the subsequent integration step in the abnormal position specifying section combines these extraction results to determine final abnormal positions. This two-stage segmented approach preserves both efficiency and reliability.
Solution Approach 2:
The extraction results from multiple emitting sections are merged in the abnormal position specifying section to determine the final abnormal position. This merging process increases confidence in abnormal change identification by requiring corroboration across multiple sections, while the prior independent extraction maintains processing efficiency.
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 allows for reliable identification of parts or regions with actual surface abnormalities, improving detection accuracy and reducing false positives by correlating data from multiple emitting sections.
Implementation Method 1
extract, on a basis of a reflection signal generated in response to a signal that one of a plurality of emitting sections included in a distance measuring device has emitted to a subject
Data Source
AI summary
Provided is a technique that specifies (a) a part actually having an abnormal change in surface or (b) a region including the part. The device includes at least one processor configured to: extract, on the basis of a reflection signal generated in response to a signal that one of a plurality of emitting sections included in a distance measuring device has emitted to a subject, a part of a surface of the subject which part has an abnormal change, the extracting being carried out for each of the plurality of emitting sections; and specify a region of the surface, the region including parts of the surface which parts have been extracted in relation to two or more of the plurality of emitting sections.