Global Anchor Mapping for Large-Space Drift-Free 3D Representation
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Solution Overview
Problem
Data capture devices experience spatial drift over large distances, leading to visually discrepancies in virtual representations of large spaces.
Innovation Solution
Segment the space into smaller regions with defined anchor points in a global frame of reference, generating local representations that experience minimal drift, and stitch them together using a global anchor map to create a more accurate global representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If data capture devices are used to capture large spaces, then the representation can cover larger areas, but spatial drift occurs leading to visual discrepancies
Solution Approach 1:
The patent divides the large space into multiple smaller regions, each captured by the data capture device independently. This segmentation allows the device to maintain accurate spatial representation within each small region while avoiding the spatial drift that would occur if capturing the entire large space in one continuous operation. The regions are then stitched together to form the complete representation.
Solution Approach 2:
The patent introduces anchor points as intermediary elements that are distributed throughout the space. These anchor points serve as reference markers that can be detected both in the local representations and in the global representation. By using these intermediary anchor points, the system can accurately register and stitch together the segmented regions while maintaining consistent spatial accuracy across the entire large space.
2Reliability
If continuous capture is performed over large distances, then complete space representation is obtained, but drift accumulates causing visual discrepancies
Solution Approach 1:
The patent segments the capture process into multiple independent local captures of smaller regions. Each local capture is performed quickly and independently, avoiding the accumulation of drift that would occur during a single continuous long-duration capture. The segmentation allows each region to be captured with high consistency and accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-defining anchor points and pre-segmenting the space into regions before actual capture begins. This preliminary preparation allows the capture process to proceed more efficiently with fewer adjustments, reducing the overall capture time while maintaining high representation consistency.
Data Source
AI summary
An example method of generating a representation of a space includes: segmenting the space into a plurality of regions; defining a global anchor map defining at least one anchor point in association with each region and locating the anchor points within the space according to a global frame of reference; obtaining, for each region, a local representation representing the region according to a local frame of reference; generating a global representation in the global frame of reference based on the local representation, the at least one anchor point associated with each region, and the global anchor map; and storing the global representation as the representation of the space.