Point Cloud Position Correction Using Aerial Reference Data
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Solution Overview
Problem
Existing methods for correcting point cloud information accuracy in moving bodies, such as vehicles, are inefficient due to reliance on GPS, which can be affected by surrounding buildings, leading to reduced accuracy and increased costs for manual corrections.
Innovation Solution
An information processing device and method that acquires point cloud information and bird's view information to calculate and correct the absolute position of point clouds using deviation amounts, allowing for efficient correction without the need for high-precision new data, by utilizing existing aerial photographs as reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If GPS is used for obtaining absolute position information of the moving body, then the device complexity is reduced, but the measurement precision of the point cloud information deteriorates due to multipath effects from surrounding buildings
Solution Approach 1:
The patent introduces bird's view information (aerial photographs or satellite images) as an intermediary reference to correct the absolute position of point cloud information. Instead of directly relying on GPS data which is affected by multipath effects, the system uses the bird's view information as a mediator to establish accurate positional relationships between the moving body and fixed objects, thereby improving measurement precision without significantly increasing device complexity
Solution Approach 2:
The patent uses bird's view information (aerial photographs or satellite images) as a copy or representation of the ground surface to determine the absolute position of the moving body. By comparing the bird's view information with the point cloud data, the system can correct positional deviations caused by GPS multipath effects, thereby improving measurement precision while avoiding the need for complex additional positioning equipment
2Measurement precision
If manual correction methods are used to adjust point cloud position accuracy, then the measurement precision can be improved, but the productivity and time efficiency deteriorate due to the time-consuming and costly nature of manual corrections
Solution Approach 1:
The patent enables the system to automatically correct its own point cloud position information by using bird's view information as a reference. The correcting section automatically calculates deviation amounts and adjusts the absolute position of point cloud data without requiring manual intervention, thereby maintaining high measurement precision while significantly improving productivity and reducing correction time and costs
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously compares the absolute position information obtained from GPS with the reference position from bird's view information, calculates deviation amounts, and automatically corrects the point cloud data. This closed-loop feedback process ensures high measurement precision while maintaining high productivity through automation
Data Source
AI summary
An information processing device includes a server device, wherein a point cloud integrating section acquires point cloud data, and a deviation amount calculating section acquires aerial photograph data with a bird's view on a ground surface from sky. Then, the deviation amount calculating section calculates deviation amounts between absolute positions on the aerial photograph data and absolute positions for point clouds included in the point cloud data, wherein the absolute positions on the aerial photograph data and for point clouds correspond to predetermined reference points and. A trajectory correcting section corrects a travelling trajectory extracted from the point cloud data by a trajectory extracting section, based on the deviation amounts calculated in the deviation amount calculating section, wherein the absolute positions for point clouds in the point cloud data are corrected based on the correction result of the trajectory correcting section.