Point Cloud Capture Planning With Reduced Field of View
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Solution Overview
Problem
Current 3D scanning technologies face inefficiencies in capturing point clouds, leading to duplicate data and excessive resource consumption due to overlapping scans and obstacles in the environment, which complicates the rendering of accurate digital 3D layouts.
Innovation Solution
A capture optimization system that calculates a reduced field of view for the scanner based on scanner parameters and a 2D layout, identifies optimal scan locations, modifies the plan to account for obstructions, and optimizes the plan to minimize overlap, resulting in a final point cloud capture plan that reduces unnecessary data capture and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the scanner captures point clouds using conventional methods without optimization, then complete area coverage is achieved, but duplicate data and overlapping scans occur leading to excessive resource consumption
Solution Approach 1:
The system performs preliminary calculations to determine the reduced field of view and optimal scan locations before actual scanning occurs. The processor calculates the minimum quantity of locations needed to capture the entire area, preventing duplicate scans and reducing resource consumption while ensuring complete coverage
Solution Approach 2:
The scanning area is divided into multiple non-overlapping zones based on the reduced field of view calculations. Each zone is assigned to a specific scan location, ensuring that the entire area is covered without duplication. The system segments the capture plan into discrete, optimized positions
2Productivity
If the scanner captures point clouds without considering obstructions, then scanning is simpler and faster, but capture accuracy is reduced due to missed areas behind obstructions
Solution Approach 1:
The system performs preliminary analysis of the two-dimensional layout to identify obstructions before generating the capture plan. Scan locations are pre-calculated to account for obstructions, ensuring that all areas including those behind obstructions are captured without requiring additional re-scanning
Solution Approach 2:
The modified point cloud capture plan acts as an intermediary between the basic capture plan and the actual scanning process. It incorporates obstruction information from the two-dimensional layout to adjust scan locations, ensuring complete coverage while maintaining scanning efficiency
3Productivity
If the scanner uses full field of view for all scans, then fewer scan locations are needed, but overlap increases leading to duplicate data and processing overhead
Solution Approach 1:
The system changes the field of view parameter from the scanner's full capability to a calculated reduced field of view. This parameter change is based on scanner parameters including horizontal and vertical field of view angles and optimal distance, allowing for optimized scan location placement that minimizes overlap while maintaining coverage efficiency
Solution Approach 2:
The reduced field of view is applied locally to each scan location based on the specific geometric requirements of that position in the area. Each location's field of view is optimized independently to cover its specific zone without unnecessary overlap with adjacent scan locations, reducing overall data volume while maintaining complete coverage
Data Source
AI summary
In some implementations, a device may receive a two-dimensional layout of an area to be captured by a scanner and scanner parameters associated with the scanner. The device may calculate a reduced field of view for the scanner based on the scanner parameters. The device may calculate, based on the two-dimensional layout and the reduced field of view, a point cloud capture plan identifying a minimum quantity of locations in the area at which to position the scanner to capture all of the area. The device may modify the point cloud capture plan, based on obstructions identified in the two-dimensional layout and based on the reduced field of view, to generate a modified point cloud capture plan, and may optimize the modified point cloud capture plan to generate a final point cloud capture plan. The device may perform one or more actions based on the final point cloud capture plan.