Invention Grant
- Patent Title: Predicting three-dimensional features for autonomous driving
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Application No.: US17450914Application Date: 2021-10-14
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Publication No.: US12014553B2Publication Date: 2024-06-18
- Inventor: Ashok Kumar Elluswamy , Matthew Bauch , Christopher Payne , Andrej Karpathy , Dhaval Shroff , Arvind Ramanandan , James Robert Howard Hakewill
- Applicant: Tesla, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: TESLA, INC.
- Current Assignee: TESLA, INC.
- Current Assignee Address: US TX Austin
- Agency: FOLEY & LARDNER LLP
- Main IPC: G06V20/56
- IPC: G06V20/56 ; G05D1/00 ; G06F18/214 ; G06N20/00 ; G06T7/20 ; G06V10/764 ; G06V10/82

Abstract:
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.
Public/Granted literature
- US20220107651A1 PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING Public/Granted day:2022-04-07
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