Zoox, Inc.

Udayan Pushparaj Karmarkar

Collin MacGregor

Matthew Daniel Lopez

Lilith Rogue Automata

Austin Hendrix

Aaron Rosekind

Darrin Sammons Willis

Satya Rama Aditya Pinapala

Collin Macgregor

Eric Yu-Chieh Shyu

Ganapathy Sankararaman

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 for enabling operation of a vehicle after detecting a fault associated with a component of the vehicle are described herein. A vehicle computing system can monitor components of the vehicle and identify a fault associated with a component. Based on the fault, the vehicle computing system can cause the vehicle to cease (e.g., stop) or limit operation in an environment. The vehicle computing system can receive a request to override the fault and continue operation of the vehicle in a recovery mode with limited parameters (e.g., limited speed, acceleration, etc.). Based on a determination that the request to override the fault is valid, the vehicle computing system can cause the vehicle to be controlled, by an operator or an autonomous controller, according to parameters of the recovery mode.

Limited vehicular operation with a faulted component

Techniques for determining whether to limit an operation of a vehicle while operating in a manually assisted mode of operation are described herein. A vehicle computing system can monitor components of the vehicle and identify a fault associated with a component. The vehicle computing system can determine whether the fault is associated with a manual operation of the vehicle. Based on a determination that the fault is not associated with the manual operation of the vehicle (e.g., fault associated with an autonomous control component), the vehicle computing system can override the fault and enable continued operation of the vehicle in the manually assisted mode of operation. Based on a determination that the fault is associated with the manual operation of the vehicle, the vehicle computing system can cause the vehicle to cease operating.

Manual operation vehicle constraints

Techniques for identifying a constraint to apply to an operation of a vehicle are described herein. A vehicle computing system receives diagnostics and constraints associated with components of the vehicle. The vehicle computing system identifies constraints to apply to vehicular operation based on the received diagnostics and constraints. The vehicle computing system may determine whether a received constraint is valid, based on associated diagnostics. Based on a determination that the constraint is valid, the vehicle computing system may include the constraint in vehicle control considerations. Based on a determination that the constraint is invalid, the vehicle computing system may withhold the constraint from vehicle control considerations.

Vehicle operating constraints

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Sunnyvale, CA, United States of America

Udayan Pushparaj Karmarkar