In various examples, sensor data may be received that represents a field of view of a sensor
of a vehicle located in a physical environment. The sensor data may be applied to a …

In techniques disclosed herein, machine learning models can be utilized in the control of
autonomous vehicle (s), where the machine learning models are trained using automatically …

In various examples, sensor data representative of an image of a field of view of a vehicle
sensor may be received and the sensor data may be applied to a machine learning model …

In various examples, a current claimed set of points representative of a volume in an
environment occupied by a vehicle at a time may be determined. A vehicle-occupied …

In various examples, live perception from sensors of a vehicle may be leveraged to detect
and classify intersection contention areas in an environment of a vehicle in real-time or near …

In an example method, a vehicle configured to operate in an autonomous mode could
predict an output of the vehicle based on an input provided to control the vehicle and a state …

BACKGROUND Unless otherwise indicated herein, the materials described in this section
are not prior art to the claims in this application and are not admitted to be prior art by …

Aspects of the disclosure provide for controlling a vehicle in an autonomous driving mode.
For instance, sensor data for an object as well as a plurality of predicted trajectories may be …

In various examples, physical sensor data may be generated by a vehicle in a real-world
environment. The physical sensor data may be used to train deep neural networks (DNNs) …

One or more instances of sensor data collected using an autonomous vehicle sensor suite
can be labeled using corresponding instance (s) of sensor data collected using an …