Zoox, Inc.

Aaron Rosekind

Collin MacGregor

Ravi Verma Gogna

Nehemia Girma Terefe

Udayan Pushparaj Karmarkar

Sandra Ruiz

He Yi

Nathaniel John Villaume

Darrin Sammons Willis

Satya Rama Aditya Pinapala

Collin Macgregor

Clement Ching-Fai Lee

Matthew Ambrose Romlewski

Joshua Paul Munic

Janakan Chandrakumar

Timothy Henry Jung

Techniques for intelligent vehicle pull over in response to detecting abnormal conditions. The techniques may include determining a presence of a condition necessitating that a vehicle cease from operating on a road surface and determining a constraint associated with the vehicle ceasing from operating on the road surface. In some examples, the constraint may be a time constraint, a geographical constraint, and/or the like. The techniques may also include sending, to a planner component of the vehicle, an indication that the vehicle is to cease from operating on the road surface in accordance with the constraint. Additionally, based at least in part on a determination that the planner component acknowledged the indication in accordance with the constraint, the techniques may include refraining from causing the vehicle to stop on the road surface such that the vehicle impedes a flow of traffic.

Intelligent vehicle pull over

Techniques are discussed herein for detecting and managing faults occurring within various vehicle systems, to enable the vehicle to respond safely and appropriately to the faults. In examples, a constraint generator may receive sensor data associated with the operation of a vehicle in an environment. The constraint generator may perturb the sensor data to mimic particular sensor faults, and execute simulations to determine performance degradations of the vehicle systems associated with the particular sensor faults. Based on the performance degradations associated with sensor faults, the constraint generator may determine the appropriate constraints with limitations on the operation of the vehicle, and communicate the constraint parameters to the appropriate vehicle systems accordingly.

Vehicle constraint generation

Methods and systems for controlling the parking brakes of a vehicle are provided. The system comprises a first brake unit; a second brake unit; a third brake unit; a fourth brake unit; a first controller powered by a first power source; a second controller powered by a second power source and communicatively coupled to the first controller via a first and second communication link; and a third controller powered by the first power source and communicatively coupled to the first controller via a third communication link and to the second controller via a fourth communication link, wherein the second controller, based at least in part on a signal received from the first controller, operates the first brake unit and the fourth brake unit, and the third controller, based at least in part on the signal received from the first controller, operates the second brake unit and the third brake unit.

Control for brake system of vehicle

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San Jose, CA, United States of America

Aaron Rosekind