3D Surveying ROI Selection for Point Cloud Data Reduction
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Solution Overview
Problem
The acquisition of point cloud data by laser scanners results in an enormous amount of data, including unnecessary information, which complicates data processing and makes it difficult to identify the object of interest, especially when measurements are performed in environments with multiple objects.
Innovation Solution
A surveying system with a tracking function that measures three-dimensional coordinates of a target and calculates a defined three-dimensional space region using a tracking locus, allowing for selective acquisition of point cloud data within this region, thereby reducing the amount of data and facilitating object identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an omnidirectional scan is performed to acquire point cloud data, then the coverage range is improved, but the amount of data becomes enormous
Solution Approach 1:
The patent divides the entire scan range into multiple selectable regions of interest (ROIs). Instead of processing all omnidirectional data, the system segments the space and allows users to focus on specific regions containing objects of interest, thereby reducing the total data volume while maintaining comprehensive coverage of relevant areas.
Solution Approach 2:
The patent applies different processing qualities to different regions. High-resolution point cloud data is acquired only for regions containing objects of interest, while other regions are either excluded or processed at lower resolution. This local differentiation optimizes data quality where needed while minimizing overall data volume.
2Reliability
If point cloud data is acquired for all objects in the scan range, then the completeness of data collection is improved, but the efficiency of data processing is reduced
Solution Approach 1:
The patent performs preliminary identification of regions of interest before full point cloud data acquisition. By first detecting objects or areas of interest through preliminary scanning or user input, the system pre-defines which regions require detailed data collection, thereby avoiding unnecessary data acquisition and improving processing efficiency while maintaining completeness for relevant objects.
Solution Approach 2:
The patent extracts and isolates point cloud data specifically from regions containing objects of interest, separating this relevant data from the rest of the omnidirectional scan data. This extraction process removes unnecessary data elements, improving processing efficiency while preserving all essential information about target objects.
3Measurement precision
If post-processing is performed to extract point cloud data concerning specific objects, then the accuracy of object identification is improved, but the time required for work completion is increased
Solution Approach 1:
The patent performs preliminary segmentation and identification of regions of interest before the main data acquisition and processing stages. By pre-defining which regions contain objects of interest through preliminary detection or user specification, the system avoids time-consuming post-processing extraction, thereby reducing total work time while maintaining accurate object identification.
4Loss of information
If all point cloud data is displayed in the display device, then the completeness of information presentation is improved, but the difficulty of identifying specific objects is increased
Solution Approach 1:
The patent extracts and displays only point cloud data from regions of interest in the display device, separating relevant object data from unnecessary background data. This selective extraction maintains complete information about target objects while removing distracting elements, thereby improving object identification ease without sacrificing essential information completeness.
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 system effectively reduces the amount of point cloud data to be processed, improves work efficiency by eliminating unnecessary data, and enhances the ability to identify the object of interest by focusing on a specified data acquisition range.
Implementation Method 1
the target has retro-reflection characteristics
Implementation Method 2
a scanner unit configured to rotatably irradiate a laser beam and to acquire a point cloud data
Implementation Method 3
a pulsed distance measuring light is vertically rotated around a horizontal axis
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
A surveying system comprises a target and a measuring instrument. The target has retro-reflection characteristics, the measuring instrument comprises a point measuring unit for irradiating a distance measuring light, for receiving a reflected light and for measuring three-dimensional coordinates of the target based on a light receiving result, a scanner unit for rotatably irradiating a laser beam and for acquiring the point cloud data and an arithmetic control module, wherein the point measuring unit measures the target held in the vicinity of an object, the arithmetic control module calculates a region of a three-dimensional space including the object based on a target measurement result of the point measuring unit, the scanner unit scans a predetermined range including the object and acquires the point cloud data, and the arithmetic control module selects the point cloud data only included in the region of the point cloud data.