- 专利标题: AUTONOMOUS VEHICLE NEURAL NETWORK OPTIMIZATION
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申请号: US17963539申请日: 2022-10-11
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公开(公告)号: US20230039729A1公开(公告)日: 2023-02-09
- 发明人: Abhishek R. Appu , Altug Koker , Linda L. Hurd , Dukhwan Kim , Mike B. MacPherson , John C. Weast , Justin E. Gottschlich , Jingyi Jin , Barath Lakshmanan , Chandrasekaran Sakthivel , Michael S. Strickland , Joydeep Ray , Kamal Sinha , Prasoonkumar Surti , Balaji Vembu , Ping T. Tang , Anbang Yao , Tatiana Shpeisman , Xiaoming Chen
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 主分类号: G05B13/02
- IPC分类号: G05B13/02 ; G05D1/00 ; G06N3/04 ; G06N3/02 ; G06N5/04 ; G06N20/00
摘要:
Methods and apparatus relating to autonomous vehicle neural network optimization techniques are described. In an embodiment, the difference between a first training dataset to be used for a neural network and a second training dataset to be used for the neural network is detected. The second training dataset is authenticated in response to the detection of the difference. The neural network is used to assist in an autonomous vehicle/driving. Other embodiments are also disclosed and claimed.
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