Abstract: An autonomous vehicle (AV) performance optimization system can determine a set of performance metrics for determining AV performance. The system can receive AV performance data from AVs operating or configured for operation throughout a given region. Based on the AV performance data, the system can determine a set of deficient performance metrics in which the AV does not meet one or more performance thresholds of a set of performance metrics. The system may then generate a configuration package, executable by the AV, comprising a set of control system parameter adjustments for meeting or exceeding the one or more performance thresholds corresponding to the deficient performance metrics.

Abstract: A control system of a self-driving vehicle (SDV) can dynamically determine a set of autonomous driving actions to be performed by the SDV, and generate a set of intention outputs using a light output system of the SDV based on the set of autonomous driving actions, where the set of intention outputs indicating the set of autonomous driving actions prior to the SDV executing the set of autonomous driving actions. The control system can then execute the set of autonomous driving actions using acceleration, braking, and steering systems of the SDV. While executing the set of autonomous driving actions, the control system can generate a corresponding set of reactive outputs using the light output system to indicate the set of autonomous driving actions being executed, where the corresponding set of reactive outputs replacing the set of intention outputs.

Abstract: An autonomous vehicle (AV) performance optimization system can determine a set of performance metrics for determining AV performance. The system can receive AV performance data from AVs operating or configured for operation throughout a given region. Based on the AV performance data, the system can determine a set of deficient performance metrics in which the AV does not meet one or more performance thresholds of a set of performance metrics. The system may then generate a configuration package, executable by the AV, comprising a set of control system parameter adjustments for meeting or exceeding the one or more performance thresholds corresponding to the deficient performance metrics.

Abstract: An intention signaling system for an autonomous vehicle (AV) can monitor sensor information indicating a situational environment of the AV, and detect an external entity based, at least in part, on the sensor data. The intention signaling system can generate an output to signal one of an intent of the AV or an acquiescence of the AV to the external entity.

Abstract: A control system of a self-driving vehicle (SDV) can dynamically determine a set of autonomous driving actions to be performed by the SDV, and generate a set of intention outputs using a light output system of the SDV based on the set of autonomous driving actions, where the set of intention outputs indicating the set of autonomous driving actions prior to the SDV executing the set of autonomous driving actions. The control system can then execute the set of autonomous driving actions using acceleration, braking, and steering systems of the SDV. While executing the set of autonomous driving actions, the control system can generate a corresponding set of reactive outputs using the light output system to indicate the set of autonomous driving actions being executed, where the corresponding set of reactive outputs replacing the set of intention outputs.

Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from a sensor system of the SDV to autonomously control acceleration, steering, and braking systems of the SDV along a current route. Based on the current route, the control system can dynamically determine a set of immediate actions to be performed by the SDV. Based on the set of immediate actions, the control system can generate a set of intention outputs on a lighting strip of the SDV, the set of intention outputs indicating the set of immediate actions prior to the SDV executing the set of immediate actions.

Abstract: An autonomous vehicle (AV) performance optimization system can receive vehicle data from human-driven vehicles, and determine a set of performance metrics for determining AV performance in relation to human performance based on the vehicle data. Thereafter, the system can receive AV data from AVs operating or configured for operation throughout a given region. Based on the AV data, the system can determine a performance score for each of the set of performance metrics for the AV.

Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from a sensor system of the SDV to autonomously control acceleration, steering, and braking systems of the SDV along a current route. Based on the current route, the control system can dynamically determine a set of immediate actions to be performed by the SDV. Based on the set of immediate actions, the control system can generate a set of intention outputs on a lighting strip of the SDV, the set of intention outputs indicating the set of immediate actions prior to the SDV executing the set of immediate actions.

Abstract: An intention signaling system for an autonomous vehicle (AV) can monitor sensor information indicating a situational environment of the AV, and detect an external entity based, at least in part, on the sensor data. The intention signaling system can generate an output to signal one of an intent of the AV or an acquiescence of the AV to the external entity.