Invention Grant
- Patent Title: Keypoint matching using graph convolutions
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Application No.: US17231905Application Date: 2021-04-15
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Publication No.: US11741728B2Publication Date: 2023-08-29
- Inventor: Jiexiong Tang , Rares Andrei Ambrus , Jie Li , Vitor Guizilini , Sudeep Pillai , Adrien David Gaidon
- Applicant: TOYOTA RESEARCH INSTITUTE, INC.
- Applicant Address: US CA Los Altos
- Assignee: TOYOTA RESEARCH INSTITUTE, INC.
- Current Assignee: TOYOTA RESEARCH INSTITUTE, INC.
- Current Assignee Address: US CA Los Altos
- Agency: Seyfarth Shaw LLP
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06V20/64 ; G05D1/02 ; G06T7/73 ; G06V20/56 ; G06V10/75 ; G06V10/74 ; G06F18/22 ; G06V10/762 ; G06V10/764

Abstract:
A method for keypoint matching includes determining a first set of keypoints corresponding to a current environment of the agent. The method further includes determining a second set of keypoints from a pre-built map of the current environment. The method still further includes identifying matching pairs of keypoints from the first set of keypoints and the second set of keypoints based on geometrical similarities between respective keypoints of the first set of keypoints and the second set of keypoints. The method also includes determining a current location of the agent based on the identified matching pairs of keypoints. The method further includes controlling an action of the agent based on the current location.
Public/Granted literature
- US20210326601A1 KEYPOINT MATCHING USING GRAPH CONVOLUTIONS Public/Granted day:2021-10-21
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