Tesla, Inc.

Francis Havlak

Neda Cvijetic

Paul Chen

Arvind Ramanandan

Mark Jonathon McClelland

Elon Reeve Musk

Charles Shieh

Andrej Karpathy

Nenad Uzunovic

Nicklas Gustafsson

David Seelig

Christopher Coleman Moore

Oktay Arslan

Kate Park

Zeljko Popovic

Stuart Bowers

Ashima Kapur Sud

Paril Jain

Alexander Hertzberg

Robert Cofield

Jason Kong

Li Wang

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.

Autonomous and user controlled vehicle summon to a target

Various vehicle technologies for improving positioning accuracy despite various factors that affect signals from navigation satellites. Such positioning accuracy is increased via determining an offset and communicating the offset in various ways or via sharing of raw positioning data between a plurality of devices, where at least one knows its location sufficiently accurately, for use in differential algorithms.

Systems and methods for correcting the geographic location of a vehicle

Technologies for vehicle positioning

Growing community of inventors

Palo Alto, CA, United States of America

Francis Havlak