Waymo LLC

Wrightspeed, Inc.

Ryan Cash

Daniel Trawick Egnor

Ethan Stark

Ian Wright

Nolan McPeek-Bechtold

Andrew Schultz

Andrew Barton-Sweeney

James Harris

Dirk Haehnel

Peter Colijn

Laurens Andreas Feenstra

Katharine Patterson

Ruslan Kurdyumov

Spencer Alexander

Ryan Joseph Andrade

Congyu Gao

Steven Reis

Omari Stephens

Nolan Mcpeek-Bechtold

Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode. For instance, a trajectory is identified. The trajectory defines a future desired path for the vehicle and includes a control requirement having a corresponding point in time. A command for achieving the control requirement is generated. A fixed delay value corresponding to a delay caused by transmission of the command to an actuator of the vehicle is generated. A variable delay value corresponding to a delay caused by an amount of time to change a physical state of the actuator to a desired state according to the command is generated. The command is then sent to the actuator based on the fixed delay value, the variable delay value, and so that the actuator causes the vehicle to move according to the command.

Adjusting timing of actuation commands to account for fixed and variable delays in autonomous driving control of vehicles

Aspects of the disclosure relate to controlling a transition between a manual driving mode and an autonomous driving mode of a vehicle. For instance, one or more processors of one or more control computing devices may control the vehicle in the autonomous driving mode. While controlling the vehicle in the autonomous driving mode and decelerating at a given rate, the processors may receive at a user input of the vehicle input requesting a transition from the autonomous driving mode to the manual driving mode. In response to the input, the processors may transition the vehicle to the manual driving mode. After transitioning the vehicle to the manual driving mode, the processors may send deceleration signals to a deceleration actuator thereby causing the vehicle to continue to decelerate at the given rate.

Driver transition assistance for transitioning to manual control for vehicles with autonomous driving modes

A method and system are provided for controlling braking a vehicle in an autonomous driving mode. For instance, the vehicle is controlled in the autonomous driving mode according to a first braking control mode using a first model to adjust the position of a vehicle relative to an expected position of a current trajectory of the vehicle. Using a second model how close to a maximum deviation threshold the vehicle would come if a maximum braking strength for the vehicle was applied is predicted. The maximum deviation threshold provides an allowed forward deviation from the current trajectory. Based on the prediction, the vehicle is controlled in the autonomous driving mode according to a second braking control mode by automatically applying the maximum braking strength.

Braking control behaviors for autonomous vehicles

Embodiments of the invention are directed toward a geared traction drive system configured to drive a wheel of a vehicle, comprising: a driveshaft for transmitting power to the wheel; an electric drive motor for driving the driveshaft, the electric drive motor configured to receive signals from a vehicle dynamic control system to command a required speed; a gear reduction component for reducing the speed of the motor by a predetermined factor to a lower speed suitable for driving the wheel; and a drive electronics component that works with the electric drive motor to drive the wheel to the speed commanded by the vehicle dynamic control system.

Vehicle dynamics control in electric drive vehicles

Aspects of the disclosure relate to determining vehicle operation modes for a fleet of vehicles. This may include maintaining a storage system including vehicle parameters for a vehicle fleet such that each vehicle of the fleet is associated with a set of vehicle parameters. The vehicle operation mode may be determined by selecting one of a plurality of vehicle operation levels arranged in a hierarchy or by identifying a set of tags where each level or tag corresponds to a vehicle driving capability. The determined vehicle operation mode may be communicated to the given vehicle in order to cause the vehicle to operate according to the determined vehicle operation mode.

Fleet management for vehicles using operation modes

Aspects of the disclosure relate to stopping a vehicle. For instance, a vehicle is controlled in an autonomous driving mode by generating first commands for acceleration control and sending the first commands to an acceleration and/or steering actuator of an acceleration system of the vehicle in order to cause the vehicle to accelerate. Acceleration and/or orientation of the vehicle is monitored while the vehicle is being operated in an autonomous driving mode. The monitored acceleration and/or orientation is compared with the first commands. An error with the acceleration and/or steering system is determined based on the comparison. When the error is determined, the vehicle is controlled in the autonomous driving mode by generating second commands which do not require any acceleration and/or steering.

Detecting and responding to propulsion and steering system errors for autonomous vehicles

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Sunnyvale, CA, United States of America

Ryan Cash