Invention Grant
- Patent Title: Methods and systems for real or near real-time point cloud map data confidence evaluation
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Application No.: US17061176Application Date: 2020-10-01
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Publication No.: US12014533B2Publication Date: 2024-06-18
- Inventor: Steven Huber
- Applicant: CARNEGIE MELLON UNIVERSITY
- Applicant Address: US PA Pittsburgh
- Assignee: CARNEGIE MELLON UNIVERSITY
- Current Assignee: CARNEGIE MELLON UNIVERSITY
- Current Assignee Address: US PA Pittsburgh
- Agency: Meyer, Unkovic & Scott LLP
- Main IPC: G01S17/42
- IPC: G01S17/42 ; G01S7/497 ; G01S17/86 ; G01S17/89 ; G05D1/00 ; G06V10/75 ; G06V20/10 ; G06V20/64

Abstract:
A method includes acquiring with a scanning device a scan frame including a point cloud comprising a first plurality of points and describing a spatial characteristic of an environment, attributing each of the first plurality of points with a spatial confidence metric, discarding a portion of the first plurality of points when the spatial confidence metric of at least one of the first plurality of points is below a predefined threshold value and directing a user of the scanning device to acquire a second point cloud approximately coincident with the discarded portion of the first plurality of points.
Public/Granted literature
- US20210025998A1 METHODS AND SYSTEMS FOR REAL OR NEAR REAL-TIME POINT CLOUD MAP DATA CONFIDENCE EVALUATION Public/Granted day:2021-01-28
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