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公开(公告)号：US20240070460A1
公开(公告)日：2024-02-29
申请号：US18459954
申请日：2023-09-01
申请人： Tesla, Inc.
CPC分类号： G06N3/08 , G05D1/0221 , G06F18/28 , G06V20/588 , G16Y20/10 , G06N3/04
摘要： Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
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公开(公告)号：US20220107651A1
公开(公告)日：2022-04-07
申请号：US17450914
申请日：2021-10-14
申请人： Tesla, Inc.
发明人： Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
摘要： A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
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公开(公告)号：US20200249685A1
公开(公告)日：2020-08-06
申请号：US16265720
申请日：2019-02-01
申请人： Tesla, Inc.
发明人： Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
摘要： A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
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公开(公告)号：US12014553B2
公开(公告)日：2024-06-18
申请号：US17450914
申请日：2021-10-14
申请人： Tesla, Inc.
发明人： Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
IPC分类号： G06V20/56 , G05D1/00 , G06F18/214 , G06N20/00 , G06T7/20 , G06V10/764 , G06V10/82
CPC分类号： G06V20/588 , G05D1/0214 , G05D1/0221 , G05D1/0223 , G05D1/0231 , G06F18/214 , G06N20/00 , G06T7/20 , G06V10/764 , G06V10/82 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30241 , G06T2207/30256 , G06V2201/10
摘要： A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
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公开(公告)号：US11150664B2
公开(公告)日：2021-10-19
申请号：US16265720
申请日：2019-02-01
申请人： Tesla, Inc.
发明人： Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
摘要： A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
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公开(公告)号：US10997461B2
公开(公告)日：2021-05-04
申请号：US16265729
申请日：2019-02-01
申请人： Tesla, Inc.
摘要： Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
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公开(公告)号：US20200250473A1
公开(公告)日：2020-08-06
申请号：US16265729
申请日：2019-02-01
申请人： Tesla, Inc.
摘要： Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
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公开(公告)号：US20210342637A1
公开(公告)日：2021-11-04
申请号：US17301965
申请日：2021-04-20
申请人： Tesla, Inc.
摘要： Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
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公开(公告)号：US20240304003A1
公开(公告)日：2024-09-12
申请号：US18666598
申请日：2024-05-16
申请人： Tesla, Inc.
发明人： Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
IPC分类号： G06V20/56 , G06F18/214 , G06N20/00 , G06T7/20 , G06V10/764 , G06V10/82
CPC分类号： G06V20/588 , G06F18/214 , G06N20/00 , G06T7/20 , G06V10/764 , G06V10/82 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30241 , G06T2207/30256 , G06V2201/10
摘要： A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
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公开(公告)号：US11748620B2
公开(公告)日：2023-09-05
申请号：US17301965
申请日：2021-04-20
申请人： Tesla, Inc.
CPC分类号： G06N3/08 , G05D1/0221 , G06F18/28 , G06V20/588 , G16Y20/10 , G06N3/04
摘要： Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
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