Point Cloud Extraction Using Trajectory-Based Region Definition
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Solution Overview
Problem
Existing Mobile Mapping Systems (MMS) face difficulties in efficiently extracting analysis targets from entire circumference point cloud data acquired during movement along a measurement route, requiring manual extraction and being troublesome for analysis.
Innovation Solution
A point cloud data processing method and device that sets extraction regions based on predetermined angles and distances to automatically extract target point cloud data from the entire circumference data, utilizing a synchronization control device to synchronize data from GNSS, IMU, camera, and laser scanner, and a CPU-based processing unit to generate and filter the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the laser scanner acquires point cloud data over the entire circumference, then the coverage and completeness of the measurement data are improved, but the amount of data increases significantly making manual extraction necessary and troublesome
Solution Approach 1:
The patent extracts only the necessary point cloud data corresponding to the measurement route from the entire circumference point cloud data. By identifying and extracting only the relevant portions along the measurement route, the system eliminates the need for manual extraction while maintaining complete coverage of the area of interest.
Solution Approach 2:
The patent segments the entire circumference point cloud data into distinct regions based on the measurement route. By dividing the comprehensive point cloud data into manageable segments corresponding to specific measurement sections, the system enables automated processing and analysis of only the relevant data portions.
2Measurement precision
If manual extraction of target point cloud data is performed, then the extraction accuracy can be ensured, but the time consumption and operational complexity increase
Solution Approach 1:
The patent implements automated extraction of target point cloud data using the processing device. The system automatically identifies and extracts point cloud data corresponding to the measurement route without requiring manual intervention, thereby maintaining high extraction accuracy while significantly reducing time consumption and operational complexity.
Solution Approach 2:
The patent replaces the manual mechanical extraction process with an automated computational system. By using the processing device to automatically identify and extract relevant point cloud data based on the measurement route, the system eliminates manual operations while ensuring accurate extraction through algorithmic processing.
3Loss of information
If all point cloud data from the entire circumference is processed, then the completeness of analysis data is improved, but the data processing complexity and computational resources required increase
Solution Approach 1:
The patent extracts only the point cloud data that corresponds to the measurement route from the entire circumference data. This selective extraction maintains the completeness of analysis data by ensuring all relevant information along the measurement route is captured, while simultaneously reducing processing complexity by eliminating unnecessary data from other directions.
Solution Approach 2:
The patent segments the comprehensive point cloud data into relevant and irrelevant portions based on the measurement route. By dividing the data and processing only the segments corresponding to the measurement route, the system maintains data completeness for analysis while reducing overall processing complexity and computational resource requirements.
Data Source
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AI summary
[Object] To provide a point cloud data processing method capable of easily extracting an analysis target from entire circumference point cloud data acquired by a measuring device that is moving along a measurement route. [Solution Means] A trajectory of a measuring device 20 is calculated based on measurement data acquired by the measuring device that is moving along a measurement route, and on a vertical plane orthogonal to the trajectory, a two-dimensional figure is identified by designating an extraction angle range around an intersection P of the trajectory and the vertical plane based on a perpendicular drawn down to a horizontal plane from the intersection and an extraction distance range based on the intersection P on the vertical plane, and a region obtained by extending the two-dimensional figure along the trajectory is set as an extraction region, and point cloud data in a region including a specific analysis target is extracted as extracted point cloud data from entire circumference point cloud data acquired by scanning the circumference of the measuring device and included in the measurement data.