Abstract: Methods, systems, and non-transitory computer readable media are configured to perform operations comprising determining a plurality of predetermined situations in which lighting operation of an ego vehicle should automatically transition; determining occurrence of a predetermined situation of the plurality of predetermined situations; and causing an automatic transition in lighting operation of the ego vehicle.

Abstract: Methods, systems, and non-transitory computer-readable media estimate coasting behavior of a vehicle; identify a scenario associated with coasting in an environment of the vehicle; and based in part on the coasting behavior, generate a trajectory associated with coasting for the vehicle to move in the scenario.

Abstract: A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to receive measurement data from the IMU. The IMU and the processor is powered by a battery separate from a power source of the ECU. The processor is configured to identify a tamper event of the ECU based on the measurement data from the IMU. The processor is also configured to send a signal to cause a tamper response of the tamper event.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was safe to conduct, but a threat vehicle (or another threat object) may be subsequently detected moving into the same target lane. The option to immediately abort the maneuver and return to the original lane may not be appropriate after some time into the lane change maneuver. The vehicle computer may control the vehicle in a lateral position hold along the lane demarcation line for a predetermined amount of time before moving into the second lane when the threat vehicle clears the second lane or returning to the first lane when the threat vehicle does not clear the second lane.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was safe to conduct, but a threat vehicle (or another threat object) may be subsequently detected moving into the same target lane. The option to immediately abort the maneuver and return to the original lane may not be appropriate after some time into the lane change maneuver. The vehicle computer may control the vehicle in a lateral position hold along the lane demarcation line for a predetermined amount of time before moving into the second lane when the threat vehicle clears the second lane or returning to the first lane when the threat vehicle does not clear the second lane.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a rescue lane scenario for an environment, determining an amount of lateral bias for a vehicle, and generating planning and control data for the vehicle to laterally bias based on the amount of lateral bias.

Abstract: Methods, systems, and non-transitory computer-readable media estimate coasting behavior of a vehicle; identify a scenario associated with coasting in an environment of the vehicle; and based in part on the coasting behavior, generate a trajectory associated with coasting for the vehicle to move in the scenario.

Abstract: A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to receive measurement data from the IMU. The IMU and the processor is powered by a battery separate from a power source of the ECU. The processor is configured to identify a tamper event of the ECU based on the measurement data from the IMU. The processor is also configured to send a signal to cause a tamper response of the tamper event.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) a first (e.g., regular, main) trajectory and a second (e.g., fail-safe, minimal risk maneuver) trajectory for the vehicle. Embodiments may provide a fault detection interval during which the second trajectory may be activated due to missing updated trajectory input. Embodiments may also provide a recovery detection interval during which an updated regular trajectory may be generated and followed instead of the fail-safe trajectory if a valid trajectory update is received. Accordingly, embodiments allow for an early activation of a fail-safe trajectory compared to conventional systems, while also allowing the system to recover (e.g., revert back to a modified version of the first trajectory) if a valid trajectory update is received during a recovery detection interval.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) an automated lane change maneuver moving the vehicle from a first lane into a second, adjacent lane. The lane change maneuver may have commenced while the maneuver was safe to conduct, but a threat vehicle (or another threat object) may be subsequently detected moving into the same target lane. The option to immediately abort the maneuver and return to the original lane may not be appropriate after some time into the lane change maneuver. The vehicle computer may control the vehicle in a lateral position hold along the lane demarcation line for a predetermined amount of time before moving into the second lane when the threat vehicle clears the second lane or returning to the first lane when the threat vehicle does not clear the second lane.

Abstract: Embodiments provide a vehicle computer coupled to a vehicle. The vehicle computer may be configured to compute (e.g., generate) a first (e.g., regular, main) trajectory and a second (e.g., fail-safe, minimal risk maneuver) trajectory for the vehicle. Embodiments may provide techniques for incorporating sensor input into the response for managing a minimal risk maneuver. The low-resolution sensor data may be received from a low-resolution sensor having integrated object detection processing such as an automotive radar sensor. The safety processor may modify the second trajectory using the low-resolution sensor data to avoid any new hazards along the second trajectory. Embodiments may also provide, in addition to the low-resolution radar sensor data, pre-computed analysis of the low-resolution radar sensor data from the main processor to the safety processor to reduce the false positives (e.g., false positive object detections) along the second trajectory.