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公开(公告)号：US11790664B2
公开(公告)日：2023-10-17
申请号：US17656183
申请日：2022-03-23
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
CPC classification number: G06V20/58 , G06N20/00 , G06T7/70 , G06V10/803 , G06V20/584 , G06T2207/20081 , G06T2207/30261
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US20240127599A1
公开(公告)日：2024-04-18
申请号：US18473059
申请日：2023-09-22
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
CPC classification number: G06V20/58 , G06N20/00 , G06T7/70 , G06V10/803 , G06V20/584 , G06T2207/20081 , G06T2207/30261
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US20200265247A1
公开(公告)日：2020-08-20
申请号：US16279657
申请日：2019-02-19
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US12236689B2
公开(公告)日：2025-02-25
申请号：US18473059
申请日：2023-09-22
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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Patent Agency Ranking
公开(公告)号：US20230385698A1
公开(公告)日：2023-11-30
申请号：US18320776
申请日：2023-05-19
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Dhaval Shroff , Pengfei Phil Duan
CPC classification number: G06N20/00 , B60W2420/42 , B60W2554/00 , B60W60/001
Abstract: Systems and methods for training machine learning models utilized for autonomous driving. An example method includes obtaining a set of data corresponding to the operation of a vehicle, wherein the set of data includes a first set of data corresponding to the operation of a vision-based detection system and a second set of data corresponding to the operation of a non-vision-based detection system, wherein the first and second set of data corresponding to a common timestamp; processing the first set of data to correspond to a common format for detection; processing the second set of data to correspond to the common format for detection; combining the processed first set of data and the processed second set of data to form a common set of data; processing the combined set of data; and training a machine learning model for vision-based detection system based on the processing combined set of data.
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公开(公告)号：US20220284712A1
公开(公告)日：2022-09-08
申请号：US17656183
申请日：2022-03-23
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US11288524B2
公开(公告)日：2022-03-29
申请号：US17249110
申请日：2021-02-19
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US20210326610A1
公开(公告)日：2021-10-21
申请号：US17249110
申请日：2021-02-19
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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公开(公告)号：US10956755B2
公开(公告)日：2021-03-23
申请号：US16279657
申请日：2019-02-19
Applicant: Tesla, Inc.
Inventor： James Anthony Musk , Swupnil Kumar Sahai , Ashok Kumar Elluswamy
Abstract: A system is comprised of one or more processors coupled to memory. The one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. The trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
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