Point Cloud Coordinate Correction Using 2D Map Matching
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Solution Overview
Problem
Existing position estimation techniques using point cloud data for augmented reality suffer from inaccuracies due to GPS errors, leading to deviations between real and virtual objects, which degrade user experience and require manual, time-consuming corrections.
Innovation Solution
An information processing device and method that uses two-dimensional map data to correct geographic coordinate information of point cloud data by superimposing and matching point cloud images with map images, allowing for accurate alignment and display of virtual objects in real space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used to acquire geographic coordinate information for point cloud data, then position estimation can be performed, but accuracy deteriorates with errors in units of meters
Solution Approach 1:
The patent introduces map data as an intermediary to bridge the gap between GPS coordinates and actual positions. By superimposing point cloud data with map data and performing matching operations, the system uses map data as a mediator to correct GPS coordinate errors, achieving higher positioning accuracy without directly improving GPS itself
Solution Approach 2:
The patent implements a feedback mechanism where the matching result between point cloud data and map data is used to correct and update the geographic coordinate information. The system continuously refines position accuracy by feeding back the matching errors and adjusting the coordinates accordingly, transforming initial inaccurate GPS data into accurate position information
2Measurement precision
If manual correction of geographic coordinate information is performed by workers at sites, then position accuracy can be improved, but time and labor consumption increase
Solution Approach 1:
The patent enables the system to automatically correct its own geographic coordinate information through self-service mechanisms. The computer automatically performs matching operations between point cloud data and map data, and automatically updates the coordinate information without human intervention, making the correction process self-sufficient and eliminating the need for manual site visits
Solution Approach 2:
The patent replaces the mechanical manual correction process with an automated computational system. Instead of workers physically visiting sites to adjust coordinates, the system uses automated image matching algorithms and computer processing to perform the same correction function, substituting mechanical human labor with computational automation
3Adaptability or versatility
If GPS-based position estimation is used for augmented reality, then virtual objects can be displayed, but deviation between real and virtual objects reduces user experience
Solution Approach 1:
The patent applies feedback by continuously monitoring the matching between point cloud data and map data, and using this information to adjust and correct the positioning of virtual objects in real-time. This feedback loop ensures that virtual objects remain accurately aligned with real-world objects, maintaining high positioning precision for augmented reality applications
Data Source
AI summary
Provided are an information processing device, an information processing method, and a storage medium capable of visually correcting geographic coordinate information of point cloud data used for position estimation using two-dimensional map data. The information processing device including a control unit that performs: processing of superimposing and displaying a second image generated from point cloud data including feature point data of an object in a real space on a first image generated on the basis of outer circumferential line data of an object acquired from two-dimensional map data of the real space; and processing of updating geographic coordinate information of the point cloud data on the basis of a result of a matching operation of the second image with the first image.