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Patent Agency Ranking
公开(公告)号：US20200257317A1
公开(公告)日：2020-08-13
申请号：US16272273
申请日：2019-02-11
Applicant: Tesla, Inc.
Inventor： Elon Musk , Kate Park , Nenad Uzunovic , Christopher Coleman Moore , Francis Havlak , Stuart Bowers , Andrej Karpathy , Arvind Ramanandan , Ashima Kapur Sud , Paul Chen , Paril Jain , Alexander Hertzberg , Jason Kong , Li Wang , Oktay Arslan , Nicklas Gustafsson , Charles Shieh , David Seelig
Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
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公开(公告)号：US12164310B2
公开(公告)日：2024-12-10
申请号：US18160565
申请日：2023-01-27
Applicant: Tesla, Inc.
Inventor： Elon Musk , Kate Park , Nenad Uzunovic , Christopher Coleman Moore , Francis Havlak , Stuart Bowers , Andrej Karpathy , Arvind Ramanandan , Ashima Kapur Sud , Paul Chen , Paril Jain , Alexander Hertzberg , Jason Kong , Li Wang , Oktay Arslan , Nicklas Gustafsson , Charles Shieh , David Seelig
Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
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公开(公告)号：US20250068166A1
公开(公告)日：2025-02-27
申请号：US18941837
申请日：2024-11-08
Applicant: Tesla, Inc.
Inventor： Elon Musk , Kate Park , Nenad Uzunovic , Christopher Coleman Moore , Francis Havlak , Stuart Bowers , Andrej Karpathy , Arvind Ramanandan , Ashima Kapur Sud , Paul Chen , Paril Jain , Alexander Hertzberg , Jason Kong , Li Wang , Oktay Arslan , Nicklas Gustafsson , Charles Shieh , David Seelig
Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
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公开(公告)号：US20230176593A1
公开(公告)日：2023-06-08
申请号：US18160565
申请日：2023-01-27
Applicant: Tesla, Inc.
Inventor： Elon Musk , Kate Park , Nenad Uzunovic , Christopher Coleman Moore , Francis Havlak , Stuart Bowers , Andrej Karpathy , Arvind Ramanandan , Ashima Kapur Sud , Paul Chen , Paril Jain , Alexander Hertzberg , Jason Kong , Li Wang , Oktay Arslan , Nicklas Gustafsson , Charles Shieh , David Seelig
CPC classification number: G05D1/12 , G06N20/00 , G05D1/0033 , G05D1/0088 , G05D1/0221 , G06N3/08 , G05D2201/0213
Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
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公开(公告)号：US11567514B2
公开(公告)日：2023-01-31
申请号：US16272273
申请日：2019-02-11
Applicant: Tesla, Inc.
Inventor： Elon Musk , Kate Park , Nenad Uzunovic , Christopher Coleman Moore , Francis Havlak , Stuart Bowers , Andrej Karpathy , Arvind Ramanandan , Ashima Kapur Sud , Paul Chen , Paril Jain , Alexander Hertzberg , Jason Kong , Li Wang , Oktay Arslan , Nicklas Gustafsson , Charles Shieh , David Seelig
Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.
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