Invention Grant
- Patent Title: Predicting three-dimensional features for autonomous driving
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Application No.: US16265720Application Date: 2019-02-01
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Publication No.: US11150664B2Publication Date: 2021-10-19
- 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 CA Palo Alto
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G06N20/00 ; G06K9/00 ; G06K9/62 ; G06T7/20

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
- US20200249685A1 PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING Public/Granted day:2020-08-06
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