Abstract: Systems, methods, and computer-readable media are provided for maintaining cleanliness of an autonomous vehicle. In some examples, an autonomous vehicle fleet management device may receive cleanliness data corresponding to at least one autonomous vehicle. In some aspects, the autonomous vehicle fleet management device may determine, based on the cleanliness data, one or more parameters corresponding to at least one cleanliness issue associated with the at least one autonomous vehicle. In some cases, a remediation plan for the at least one cleanliness issue may be determined based on the one or more parameters. In some instances, at least one driving instruction may be sent to the at least one autonomous vehicle that is based on the remediation plan.

Abstract: An AV may detect degraded states of other AVs. For instance, the AV may use its sensors to detect one or more other vehicles in the local area. The AV may determine whether any of these vehicles is a peer of the AV based on features of these vehicles captured by its sensors. Alternatively, the AV may determine if any vehicle is a peer based on encrypted communication with the vehicle. The AV may also determine whether any peer AV has a state that deviates from an expected or desirable state. The AV may communicate with an online system and request the online system to provide information for identifying the vehicle or detecting degraded states. The AV may also report degradations in peer AVs to the online system. The online system may recover the degraded AV or dispatch another AV to complete a task assigned to the degraded AV.

Abstract: Systems and methods are provided for autonomous vehicle recovery. In particular, systems and methods are provided for vehicle recovery prioritization in a fleet of vehicles when multiple vehicles request recovery. Stranded vehicles in need of recovery assigned a risk profile and prioritized based on the risk profile. The risk profile can be based on a number of factors, such as a risk level for the vehicle due to the vehicle's situation, the presence of passengers in the vehicle, and congestion caused by the vehicle. Recovery response can be based on the recovery prioritization. Vehicle sensors and computing power can be used to inform onboard processors and/or central computers of a risk profile for the vehicle, and dispatch can trigger a response plan according to a recovery response framework.

Abstract: Systems and methods for using augmented reality technology to provide on-site service center personnel with enhanced safety. In particular, augmented reality technology can be used to display autonomous vehicle driving paths to service center personnel. Additionally, systems and methods are provided for using augmented reality technology to improve efficiency of autonomous vehicle service centers and operating facilities. For example, augmented reality technology can be used to communicate services for respective autonomous vehicles to service center personnel. Augmented reality technology can be presented to users via augmented reality glasses.

Abstract: A method is described and includes providing remote assistance to a vehicle subsequent to a remote assistance (RA) event, the method comprising receiving perception data generated by onboard sensors of the vehicle; receiving supplemental data generated by at least one source external to the vehicle; processing the perception data and the supplemental data using a co-simulation process for simulating an environment of the vehicle; and providing results of the co-simulation process to a remote assistance (RA) service; wherein the results of the co-simulation process are used by the RA service to determine an RA response.

Abstract: A method is described and includes determining an opacity level of air inside a vehicle using at least one sensor disposed inside a cabin of the vehicle; comparing the determined opacity level with a threshold opacity level, wherein when the determined opacity level exceeds the threshold opacity level, an internal thermal event is deemed to have occurred in connection with the vehicle; determining a severity of the internal thermal event; and initiating a response to the internal thermal event, wherein the response is based on the determined severity of the internal thermal event.

Abstract: Systems and methods for real time routing of vehicles. In particular, systems and methods are provided for real time routing of vehicles based on encounters with vulnerable road users. Vehicle perception and communication systems can provide live feedback of vulnerable road user locations. Various vulnerable road user behaviors can be identified by vehicle perception systems and flagged for avoidance in a central mapping system. The feedback can be used to route other fleet vehicles around the vulnerable road users.

Abstract: Systems and methods are provided for detecting road user frustration such as aggressive road users and/or uncomfortable road user behavior, and evaluating autonomous vehicle driving behavior that results in the road user frustration. An autonomous vehicle fleet can leverage information about typical road user behavior to create an index measuring the frustration level of other road users and/or likeability of autonomous vehicle behavior by other road users. Additionally, perception algorithms associated with sound detection and tracking can define human characteristics associated with frustrated drivers or other road users. Autonomous vehicle performance can be improved as a result of data analysis from the behavior of other road users.

Abstract: Systems, methods, and computer-readable media are provided for detecting and responding to a moisture condition of an autonomous vehicle (AV). In some examples, an AV fleet management device may detect a moisture condition within AV based on sensor data received from the AV. In some aspects, in response to detecting the moisture condition, the AV fleet management device may determine, based on the sensor data, that a humidity level within the autonomous vehicle exceeds a threshold humidity level or a wet surface within the autonomous vehicle is present. In some cases, a drying procedure may be determined or selected for reducing the humidity level or drying the wet surface within the autonomous vehicle.

Abstract: Systems, methods, and computer-readable media are provided for maintaining cleanliness of an autonomous vehicle. In some examples, an autonomous vehicle fleet management device may receive cleanliness data corresponding to at least one autonomous vehicle. In some aspects, the autonomous vehicle fleet management device may determine, based on the cleanliness data, one or more parameters corresponding to at least one cleanliness issue associated with the at least one autonomous vehicle. In some cases, a remediation plan for the at least one cleanliness issue may be determined based on the one or more parameters. In some instances, at least one driving instruction may be sent to the at least one autonomous vehicle that is based on the remediation plan.

Abstract: Systems and methods for real time routing of vehicles. In particular, systems and methods are provided for real time routing of vehicles based on encounters with vulnerable road users. Vehicle perception and communication systems can provide live feedback of vulnerable road user locations. Various vulnerable road user behaviors can be identified by vehicle perception systems and flagged for avoidance in a central mapping system. The feedback can be used to route other fleet vehicles around the vulnerable road users.

Abstract: Systems and methods are provided for autonomous vehicle recovery. In particular, systems and methods are provided for vehicle recovery prioritization in a fleet of vehicles when multiple vehicles request recovery. Stranded vehicles in need of recovery assigned a risk profile and prioritized based on the risk profile. The risk profile can be based on a number of factors, such as a risk level for the vehicle due to the vehicle's situation, the presence of passengers in the vehicle, and congestion caused by the vehicle. Recovery response can be based on the recovery prioritization. Vehicle sensors and computing power can be used to inform onboard processors and/or central computers of a risk profile for the vehicle, and dispatch can trigger a response plan according to a recovery response framework.

Abstract: Systems and methods are provided for detecting road user frustration due to autonomous vehicle driving behavior. An autonomous vehicle fleet can leverage information about typical road user behavior to create an index measuring the frustration level of other road users and/or likeability of autonomous vehicle behavior by other road users. Additionally, perception algorithms associated with sound detection and tracking can define human characteristics associated with frustrated drivers or other road users.

Abstract: Systems and methods for using augmented reality technology to provide on-site service center personnel with enhanced safety. In particular, augmented reality technology can be used to display autonomous vehicle driving paths to service center personnel. Additionally, systems and methods are provided for using augmented reality technology to improve efficiency of autonomous vehicle service centers and operating facilities. For example, augmented reality technology can be used to communicate services for respective autonomous vehicles to service center personnel. Augmented reality technology can be presented to users via augmented reality glasses.