Tesla, Inc. patent applications on February 27th, 2025
Patent Applications by Tesla, Inc. on February 27th, 2025
Tesla, Inc.: 2 patent applications
Tesla, Inc. has applied for patents in the areas of G02B1/111 (1), G02B5/30 (1), G05D1/00 (1), G06N3/08 (1), G06N20/00 (1) G02B1/111 (1), G05D1/12 (1)
With keywords such as: vehicle, portion, location, provided, sensors, herein, environment, surrounding, target, and geographical in patent application abstracts.
Patent Applications by Tesla, Inc.
20250067904. ANTI-REFLECTIVE MULTI-LAYER SYSTEMS_simplified_abstract_(tesla, inc.)
Inventor(s): Chih Hsieh Chen of San Jose CA (US) for tesla, inc.
IPC Code(s): G02B1/111, G02B5/30
CPC Code(s): G02B1/111
Abstract: provided herein are anti-reflective multi-layer systems and methods of using the same. in particular, the various embodiments described herein include display systems and methods and using the same.
Inventor(s): Elon Musk of Los Angeles CA (US) for tesla, inc., Kate Park of Los Altos CA (US) for tesla, inc., Nenad Uzunovic of San Carlos CA (US) for tesla, inc., Christopher Coleman Moore of San Francisco CA (US) for tesla, inc., Francis Havlak of Half Moon Bay CA (US) for tesla, inc., Stuart Bowers of Palo Alto CA (US) for tesla, inc., Andrej Karpathy of San Francisco CA (US) for tesla, inc., Arvind Ramanandan of Sunnyvale CA (US) for tesla, inc., Ashima Kapur Sud of San Jose CA (US) for tesla, inc., Paul Chen of Woodside CA (US) for tesla, inc., Paril Jain of Mountain View CA (US) for tesla, inc., Alexander Hertzberg of Berkeley CA (US) for tesla, inc., Jason Kong of San Francisco CA (US) for tesla, inc., Li Wang of Cupertino CA (US) for tesla, inc., Oktay Arslan of Fremont CA (US) for tesla, inc., Nicklas Gustafsson of Menlo Park CA (US) for tesla, inc., Charles Shieh of Cupertino CA (US) for tesla, inc., David Seelig of Stanford CA (US) for tesla, inc.
IPC Code(s): G05D1/00, G06N3/08, G06N20/00
CPC Code(s): G05D1/12
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.