Abstract: A method includes obtaining a plurality of sensor-based map associated with a marshaling environment, the concatenation of each sensor-based map of the plurality of sensor-based maps, the detection of one or more classified objects in the marshaling environment and one or more unclassified objects in the marshaling environment, the generation of an occupancy map, and the integration of the occupancy map with a vehicle control system associated with an automated vehicle.

Abstract: From a sequence of frames of video data including a start frame followed by intermediate frames followed by an end frame, some of the intermediate frames are identified as a first subset of frames and others of the intermediate frames are identified as a second subset of frames. The second subset of frames includes a target object in an environment. In the frames of the second subset, respective sets of pixels associated with the target object are identified. Based on timestamp offsets of frames in the first subset of frames and frames in the second set of frames, the frames in the first subset are augmented by injecting the respective sets of pixels from the second subset of frames to corresponding frames in the first subset.

Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to generate first traffic scenarios including one or more objects based on initial object locations and initial object trajectories of the one or more objects, wherein the first traffic scenarios are generated with a three-dimensional simulation engine. Probabilities of impact can be determined between the one or more objects included in the first traffic scenarios; selecting a subset of the first traffic scenarios that include the probabilities of impact greater than a user-selected threshold. Second traffic scenarios can be generated based on perturbing the selected subset of the first traffic scenarios wherein the second traffic scenarios are generated with the three-dimensional simulation engine. A machine learning system can be trained based on the first and the second traffic scenarios.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive a request to activate a vehicle, receive diagnostic data for one or more vehicle components from an activation component, arbitrate the request and the diagnostic data to identify an activation mode of the vehicle that is one of an unpowered mode, a power-up mode, or a fully-started mode, and instruct the activation component to activate one or more vehicle components associated with the identified activation mode.

Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to generate first traffic scenarios including one or more objects based on initial object locations and initial object trajectories of the one or more objects, wherein the first traffic scenarios are generated with a three-dimensional simulation engine. Probabilities of impact can be determined between the one or more objects included in the first traffic scenarios; selecting a subset of the first traffic scenarios that include the probabilities of impact greater than a user-selected threshold. Second traffic scenarios can be generated based on perturbing the selected subset of the first traffic scenarios wherein the second traffic scenarios are generated with the three-dimensional simulation engine. A machine learning system can be trained based on the first and the second traffic scenarios.

Abstract: An apparatus includes a robot body, at least one sensor coupled to the robot body and positioned to receive stimuli from a passenger cabin of a vehicle, an actuatable component coupled to the robot body, and a computer coupled to the robot body and communicatively coupled to the sensor and the actuatable component. The computer is programmed to predict an imminent anomalous event in the vehicle based on data from the at least one sensor, and in response to the determination, actuate the actuatable component to remediate the anomalous event.

Abstract: A power system for a vehicle includes a control module, a low-voltage battery electrically coupled to the control module, a high-voltage battery electrically coupled to the control module, an engine electrically coupled to the high-voltage battery, and a computer. The computer is programmed to, while the vehicle is in an off state, in response to a pending download to the control module, provide power to the control module with one of the low-voltage battery, the high-voltage battery, or the engine upon determining whether the low-voltage battery and the high-voltage battery have sufficient charge to power the control module for the download.

Abstract: A system includes a virtual-driver module, a DC/DC converter electrically coupled to the virtual-driver module, a low-voltage battery electrically coupled to the virtual-driver module, a high-voltage battery electrically coupled to the DC/DC converter, and a computer communicatively coupled to the DC/DC converter. The computer is programmed to, in response to a request to start a vehicle including the virtual-driver module in a manual mode, the vehicle being in an off state at the time of the request, set a setpoint of the DC/DC converter at a first voltage; then perform at least one pre-drive test on the vehicle; and then set the setpoint of the DC/DC converter at a second voltage lower than the first voltage.

Abstract: An apparatus includes a robot body, at least one sensor coupled to the robot body and positioned to receive stimuli from a passenger cabin of a vehicle, an actuatable component coupled to the robot body, and a computer coupled to the robot body and communicatively coupled to the sensor and the actuatable component. The computer is programmed to predict an imminent anomalous event in the vehicle based on data from the at least one sensor, and in response to the determination, actuate the actuatable component to remediate the anomalous event.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive a request to activate a vehicle, receive diagnostic data for one or more vehicle components from an activation component, arbitrate the request and the diagnostic data to identify an activation mode of the vehicle that is one of an unpowered mode, a power-up mode, or a fully-started mode, and instruct the activation component to activate one or more vehicle components associated with the identified activation mode.

Abstract: A power system for a vehicle includes a control module, a low-voltage battery electrically coupled to the control module, a high-voltage battery electrically coupled to the control module, an engine electrically coupled to the high-voltage battery, and a computer. The computer is programmed to, while the vehicle is in an off state, in response to a pending download to the control module, provide power to the control module with one of the low-voltage battery, the high-voltage battery, or the engine upon determining whether the low-voltage battery and the high-voltage battery have sufficient charge to power the control module for the download.

Abstract: A system includes a virtual-driver module, a DC/DC converter electrically coupled to the virtual-driver module, a low-voltage battery electrically coupled to the virtual-driver module, a high-voltage battery electrically coupled to the DC/DC converter, and a computer communicatively coupled to the DC/DC converter. The computer is programmed to, in response to a request to start a vehicle including the virtual-driver module in a manual mode, the vehicle being in an off state at the time of the request, set a setpoint of the DC/DC converter at a first voltage; then perform at least one pre-drive test on the vehicle; and then set the setpoint of the DC/DC converter at a second voltage lower than the first voltage.

Abstract: A computer is programmed to score a requested vehicle lane change and actuate vehicle components to perform the lane change upon determining that the score is less than a predetermined threshold within the predetermined time.

Abstract: A method of operating a vehicular system includes charging, by a controller and via an electric vehicle charge station, a low-voltage battery when a module powered by the low-voltage battery is awake and an SOC of the low-voltage battery is less than a threshold; and in response to the SOC exceeding the threshold, commanding by the controller the module to enter a sleep mode for a sleep duration defined by a power usage of the module such that as the power usage changes, the sleep duration changes.

Abstract: A vehicle includes an engine and a controller configured to autostop and autostart the engine. Engine autostops are conditioned on a vehicle speed condition. In addition, engine autostops are conditioned on a battery current threshold that changes as the speed of the vehicle changes.

Abstract: A vehicle includes an engine and a vehicle park mechanism. The vehicle further includes a controller configured initiate an auto-stop of the engine in response to an auto-stop condition. The controller is further configured to actuate the vehicle park mechanism in response to a driver exit condition and the engine being auto-stopped.

Abstract: A computer is programmed to score a requested vehicle lane change and actuate vehicle components to perform the lane change upon determining that the score is less than a predetermined threshold within the predetermined time.

Abstract: An engine control system for a vehicle includes a controller that initiates a start of the engine in response to a state of charge (SOC) of a battery falling below an engine start threshold, initiates a stop of the engine in response to the SOC exceeding an engine stop threshold, and adjusts a value of the engine start threshold based on whether a load remote from the vehicle is drawing power from the battery.

Abstract: A present location of a host vehicle is determined. A processor detects that the host vehicle is connected to a charging station. A predetermined setting associated with the present location is accessed. A charging indicator light that indicates that the vehicle is connected to a charging station in accordance with the predetermined setting is actuated.

Abstract: A vehicle includes an engine and a vehicle park mechanism. The vehicle further includes a controller configured initiate an auto-stop of the engine in response to an auto-stop condition. The controller is further configured to actuate the vehicle park mechanism in response to a driver exit condition and the engine being auto-stopped.