Abstract: A whole-mouth dental hygiene apparatus includes first and second channel configured to fit over a user's entire teeth sets of the upper and lower jaw. The channels are aligned along a dividing wall and include rod-like projections extending from their surrounding walls into interiors of each channel, configured for scrubbing enamel and massaging gums through chewing action. The rod-like projections are formed of a molded silicon rubber material together with an entirety of the apparatus. The apparatus includes a handle for manipulating the apparatus attached to its exterior, positioned to protrude from a user's mouth when the apparatus is in use. The apparatus includes openings in the walls of each channel to allow for passage of fluid during use.

Abstract: 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.

Abstract: 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.

Abstract: A computing system can receive local device data transmitted from a computing device associated with a first vehicle while the first vehicle is providing transport for a rider. Based on the local device data, the computing system can detect that a vehicle collision event has occurred. Based on detecting the vehicle collision event, the computing system can obtain trip information identifying a destination location for the rider, and transmit a transport invitation to a computing device of a driver of a second vehicle to provide transport for the rider from a location of the vehicle collision event to the destination location.

Abstract: 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.

Abstract: 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.

Abstract: 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.