Abstract: 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.

Abstract: A transport facilitation system can receive a pick-up request from a computing device of a user of a transportation arrangement service, the pick-up request comprising a unique identifier and a pick-up location. Using the unique identifier, the system can perform a lookup in a database for a profile indicating vehicle setup preferences for the user, and select a service vehicle to service the pick-up request. The system can further determine a seat assignment within the service vehicle for the user, and based on the vehicle setup preferences indicated in the profile, the system transmit a set of configuration instructions to the service vehicle, the set of configuration instructions to configure one or more adjustable components of the service vehicle for the user.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, a method can include receiving sensor data based at least in part on sensor outputs from sensors of an autonomous vehicle. The sensor outputs can be based at least in part on a state of the autonomous vehicle and an environment including one or more objects. A plurality of spatial relations can be determined based on the sensor data. The plurality of spatial relations can include the position of the autonomous vehicle with respect to the one or more objects. A headlight configuration for headlights of the autonomous vehicle can be determined, based on the plurality of spatial relations. The headlight configuration can specify headlight states for each of the headlights. A set of the one or more headlights can be activated, based on the headlight configuration.

Abstract: A network computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or the transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location, and manage the dynamic queue by sequentially routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.

Abstract: An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.

Abstract: The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.

Abstract: An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.

Abstract: A transport facilitation system can receive a pick-up request from a computing device of a user of a transportation arrangement service, the pick-up request comprising a unique identifier and a pick-up location. Using the unique identifier, the system can perform a lookup in a database for a profile indicating vehicle setup preferences for the user, and select a service vehicle to service the pick-up request. The system can further determine a seat assignment within the service vehicle for the user, and based on the vehicle setup preferences indicated in the profile, the system transmit a set of configuration instructions to the service vehicle, the set of configuration instructions to configure one or more adjustable components of the service vehicle for the user.

Abstract: A transport facilitation system can receive a pick-up request from a user device running a designated application of a transportation arrangement service managed by the transport facilitation system, where the pick-up request comprising a unique identifier and a pick-up location. Using the unique identifier, the transport facilitation system can perform a lookup in the database for a comfort profile indicating vehicle setup preferences for a user of the user device, and based on the pick-up location, select a service vehicle to service the pick-up request. Based on the vehicle setup preferences indicated in the comfort profile, the transport facilitation system can transmit a set of configuration instructions to the selected service vehicle, where the set of configuration instructions to configure a number of adjustable components of the selected service vehicle for the user prior to the selected service vehicle arriving at the pick-up location.