Invention Grant
- Patent Title: Camera-only-localization in sparse 3D mapped environments
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Application No.: US17887580Application Date: 2022-08-15
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Publication No.: US12080025B2Publication Date: 2024-09-03
- Inventor: Hrushikesh Tukaram Garud , Deepak Poddar , Soyeb Noormohammed Nagori
- Applicant: TEXAS INSTRUMENTS INCORPORATED
- Applicant Address: US TX Dallas
- Assignee: Texas Instruments Incorporated
- Current Assignee: Texas Instruments Incorporated
- Current Assignee Address: US TX Dallas
- Agent Brian D. Graham; Frank D. Cimino; Xianghui Huang
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G01C21/30 ; G06T7/73 ; G06V10/98 ; G06V20/56 ; G06V20/64

Abstract:
Techniques for localizing a vehicle include obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.
Public/Granted literature
- US20220392108A1 CAMERA-ONLY-LOCALIZATION IN SPARSE 3D MAPPED ENVIRONMENTS Public/Granted day:2022-12-08
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