Inventors:
- Palo Alto CA, US
Kate Park - Los Altos CA, US
Nenad Uzunovic - San Carlos CA, US
Christopher Coleman Moore - San Francisco CA, US
Francis Havlak - Half Moon Bay CA, US
Stuart Bowers - Palo Alto CA, US
Andrej Karpathy - San Francisco CA, US
Arvind Ramanandan - Sunnyvale CA, US
Ashima Kapur Sud - San Jose CA, US
Paul Chen - Woodside CA, US
Paril Jain - Mountain View CA, US
Alexander Hertzberg - Berkeley CA, US
Jason Kong - San Francisco CA, US
Li Wang - Cupertino CA, US
Oktay Arslan - Fremont CA, US
Nicklas Gustafsson - Menlo Park CA, US
Charles Shieh - Cupertino CA, US
David Seelig - Stanford CA, US
International Classification:
G05D 1/12
G05D 1/00
G05D 1/02
G06N 3/08
G06N 20/00
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.
