Uber Technologies, Inc.

Gm Cruise Holdings LLC

Audrey Lawrence

Karim Wahba

Amritha Prasad

Dhruv Tyagi

Andrew Joseph Beinstein

Jose Alvarez

Steve Pennington

Corin Trachtman

Sam McCabe

Andrew Beinstein

A computing system with a data store including storage priorities each associated with a different predefined event type. The storage priority indicating a likelihood detection of the predefined event type by an autonomous vehicle causes the autonomous vehicle to store sensor system output from a sensor system in the autonomous vehicle. The computing system can receive a data storage request indicating a request for the autonomous vehicle to store sensor system output for a specific predefined event type. The computing system can further update the storage priorities. Updating the storage priorities includes updates a storage priority associated with the specific predefined event type based on a parameter of specific predefined event type. The computing yet further can transmit the updated storage priorities to the autonomous vehicle which causes the autonomous vehicle to change the amount of sensory system output stored by the autonomous vehicle.

Dynamic data preservation based on autonomous vehicle performance needs

A network computing system receives local device data from a mobile computing device of a person within a vehicle. The local device data may include sensor data from one or more sensors of the mobile computing device, and location data determined from a position-determination resource of the mobile computing device. The network computing system may detect a vehicle collision event based on the local device data. Additionally, the network computing system may determine a classification of the vehicle collision event based on the local device data.

Detecting vehicle collisions based on mobile computing device data

Detecting vehicle collisions based on moble computing device data

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Audrey Lawrence