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公开(公告)号:US20230013338A1
公开(公告)日:2023-01-19
申请号:US17855233
申请日:2022-06-30
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G05D1/02 , G06K9/00 , G06K9/62 , G06V20/56 , B62D15/02 , G06V10/94 , G06N3/04 , G06N7/00 , G05D1/10 , G06N3/08 , B62D6/00
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US10705525B2
公开(公告)日:2020-07-07
申请号:US15939116
申请日:2018-03-28
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G05D1/02 , B62D6/00 , G06N3/08 , G06N7/00 , B62D15/02 , G06K9/00 , G06K9/62 , G05D1/10 , G06N3/04
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US20180292825A1
公开(公告)日:2018-10-11
申请号:US15939116
申请日:2018-03-28
Applicant: NVIDIA Corporation
CPC classification number: G05D1/0088 , B62D6/001 , B62D15/025 , G05D1/0221 , G05D1/024 , G05D1/0242 , G05D1/0246 , G05D1/0255 , G05D1/0257 , G05D1/0268 , G05D1/102 , G05D2201/0213 , G06K9/00 , G06K9/00791 , G06K9/00986 , G06K9/6273 , G06N3/04 , G06N3/08 , G06N3/084 , G06N7/005
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US20220197284A1
公开(公告)日:2022-06-23
申请号:US17692706
申请日:2022-03-11
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G05D1/02 , B62D6/00 , G06N3/08 , G06N7/00 , B62D15/02 , G06K9/62 , G05D1/10 , G06K9/00 , G06N3/04 , G06V10/94 , G06V20/56
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US20220269271A1
公开(公告)日:2022-08-25
申请号:US17692730
申请日:2022-03-11
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G06V10/94 , G06V20/56 , B62D6/00 , B62D15/02 , G05D1/02 , G05D1/10 , G06K9/00 , G06K9/62 , G06N3/04 , G06N3/08 , G06N7/00
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US11281221B2
公开(公告)日:2022-03-22
申请号:US16921796
申请日:2020-07-06
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G05D1/02 , B62D6/00 , G06N3/08 , G06N7/00 , B62D15/02 , G06K9/00 , G06K9/62 , G05D1/10 , G06N3/04
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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公开(公告)号:US20200341469A1
公开(公告)日:2020-10-29
申请号:US16921796
申请日:2020-07-06
Applicant: NVIDIA Corporation
IPC: G05D1/00 , G05D1/02 , B62D6/00 , G06N3/08 , G06N7/00 , B62D15/02 , G06K9/00 , G06K9/62 , G05D1/10 , G06N3/04
Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
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