Invention Grant
- Patent Title: Vehicle neural network training
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Application No.: US16595849Application Date: 2019-10-08
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Publication No.: US11138452B2Publication Date: 2021-10-05
- Inventor: Punarjay Chakravarty , Praveen Narayanan , Nikita Jaipuria , Gaurav Pandey
- 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: G06K9/00
- IPC: G06K9/00 ; G06T7/73

Abstract:
A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate two or more stereo pairs of synthetic images and generate two or more stereo pairs of real images based on the two or more stereo pairs of synthetic images using a generative adversarial network (GAN), wherein the GAN is trained using a six-axis degree of freedom (DoF) pose determined based on the two or more pairs of real images. The instructions can further include instructions to train a deep neural network based on a sequence of real images and operate a vehicle using the deep neural network to process a sequence of video images acquired by a vehicle sensor.
Public/Granted literature
- US20210103745A1 VEHICLE NEURAL NETWORK TRAINING Public/Granted day:2021-04-08
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