Invention Grant
- Patent Title: Vehicle neural network training
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Application No.: US17024947Application Date: 2020-09-18
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Publication No.: US11610412B2Publication Date: 2023-03-21
- Inventor: Lynn Valerie Keiser , Timur Gilmanov
- 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: G06V20/58
- IPC: G06V20/58 ; G06K9/62 ; G06N3/04 ; G06N3/08

Abstract:
A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a vehicle sensor object label, and a vehicle sensor confidence level for the vehicle sensor object label, by processing a vehicle sensor image with a neural network, determine a stationary sensor object label, and a stationary sensor confidence level for the stationary sensor object label, by processing a stationary sensor image with the neural network, and if the stationary sensor confidence level is greater than the vehicle sensor confidence level, operate a vehicle by determining a vehicle path based on the stationary sensor object label.
Public/Granted literature
- US20220092321A1 VEHICLE NEURAL NETWORK TRAINING Public/Granted day:2022-03-24
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