Uatc, LLC

Uber Technologies, Inc.

Aurora Operations, Inc.

Matthew Shaw Wood

Scott C Poeppel

Noah Zych

Nicholas G Letwin

William M Leach

Dirk John VandenBerg, Iii

Nancy Yung-Hui Sun

David McAllister Bradley

Peter W Rander

Zachias Rauch Vawter

Zac Vawter

Systems and methods are provided for remotely detecting a status associated with an autonomous vehicle and generating control actions in response to such detections. In one example, a computing system can access a third-party communication associated with an autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a predetermined identifier associated with the autonomous vehicle. The computing system can determine, based at least in part on the third-party communication, a status associated with the autonomous vehicle, and transmit one or more control messages to the autonomous vehicle based at least in part on the predetermined identifier and the status associated with the autonomous vehicle.

Systems and methods for remote status detection of autonomous vehicles

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Autonomous vehicle collision mitigation systems and methods

A sensor assembly can include a housing that includes a view pane and a mounting feature configured to replace a trailer light of a cargo trailer of a semi-trailer truck. The sensor assembly can also include a lighting element mounted within the housing to selectively generate light, and a sensor mounted within the housing and having a field of view through the view pane. The sensor assembly can also include a communication interface configured to transmit sensor data from the sensor to a control system of the self-driving tractor.

Cargo trailer sensor assembly

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

Multi-model switching on a collision mitigation system

A control system of a self-driving tractor can access sensor data to determine a set of trailer configuration parameters of a cargo trailer coupled to the self-driving tractor. Based on the set of trailer configuration parameters, the control system can configure a motion planning model for autonomously controlling the acceleration, braking, and steering systems of the tractor.

Configuring motion planning for a self-driving tractor unit

Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.

Autonomous vehicle paletization system

The present disclosure provides systems and methods for controlling autonomous vehicles. In one example implementation, a method includes providing for display to a passenger of an autonomous vehicle, by a computing system having one or more computing devices, a user interface on a display device. The user interface includes at least one interface element associated with directing movement of the autonomous vehicle. The method includes receiving, by the computing system, a user interaction for a time period directed to the interface element. During the time period, the method includes providing, by the computing system, one or more signals indicative of the user interaction to control the autonomous vehicle to autonomously travel along a predetermined path.

Supervised movement of autonomous vehicle

A vehicle determines a traction value for a surface of a road segment, and associates the traction value with a location of the surface. The vehicle stores the traction value and location as part of a traction map.

Growing community of inventors

Pittsburgh, PA, United States of America

Matthew Shaw Wood