Invention Grant
- Patent Title: Learning good features for visual odometry
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Application No.: US16100445Application Date: 2018-08-10
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Publication No.: US10852749B2Publication Date: 2020-12-01
- Inventor: Quoc-Huy Tran , Manmohan Chandraker , Hyo Jin Kim
- Applicant: NEC Laboratories America, Inc.
- Assignee: NEC CORPORATION
- Current Assignee: NEC CORPORATION
- Agent Joseph Kolodka
- Main IPC: G05D1/08
- IPC: G05D1/08 ; G06T7/73 ; G05D1/00 ; G08G5/04 ; B64C39/02 ; G08G5/00 ; G06N3/04 ; G06N3/08 ; G06N5/04 ; G06T7/00 ; G06F16/29 ; G01C21/32

Abstract:
A computer-implemented method, system, and computer program product are provided for pose estimation. The method includes receiving, by a processor, a plurality of images from one or more cameras. The method also includes generating, by the processor with a feature extraction convolutional neural network (CNN), a feature map for each of the plurality of images. The method additionally includes estimating, by the processor with a feature weighting network, a score map from a pair of the feature maps. The method further includes predicting, by the processor with a pose estimation CNN, a pose from the score map and a combined feature map. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the pose.
Public/Granted literature
- US20190066326A1 LEARNING GOOD FEATURES FOR VISUAL ODOMETRY Public/Granted day:2019-02-28
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