Invention Grant
- Patent Title: Vehicle neural network localization
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Application No.: US17113171Application Date: 2020-12-07
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Publication No.: US11670088B2Publication Date: 2023-06-06
- Inventor: Mokshith Voodarla , Shubham Shrivastava , Punarjay Chakravarty
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Bejin Bieneman PLC
- Agent Frank A. MacKenzie
- Main IPC: G06V20/56
- IPC: G06V20/56 ; H04W4/46 ; G06N3/08 ; G06V10/25 ; G06V10/75 ; G06F18/24 ; G06N3/045 ; G06V10/82 ; G06N3/088 ; G06N3/047

Abstract:
A plurality of temporally successive vehicle sensor images are received as input to a variational autoencoder neural network that outputs an averaged semantic birds-eye view image that includes respective pixels determined by averaging semantic class values of corresponding pixels in respective images in the plurality of temporally successive vehicle sensor images. From a plurality of topological nodes that each specify respective real-world locations, a topological node closest to the vehicle, and a three degree-of-freedom pose for the vehicle relative to the topological node closest to the vehicle, is determined based on the averaged semantic birds-eye view image. A real-world three degree-of-freedom pose for the vehicle is determined by combining the three degree-of-freedom pose for the vehicle relative to the topological node and the real-world location of the topological node closest to the vehicle.
Public/Granted literature
- US20220180106A1 VEHICLE NEURAL NETWORK LOCALIZATION Public/Granted day:2022-06-09
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