Abstract: A system includes a first computer and a second computer. The first computer is programmed to receive a request from the second computer to move a vehicle from a first location to a second location and synchronize a timer stored in each of the computers. The first computer determines a route including waypoints from the first location to the second location and determines predicted travel times for legs of the route. The predicted travel times include a first predicted travel time for a first leg defined from the first location to a first waypoint included in the waypoints and the first computer transmits the route and the travel times to the second computer. The second computer is programmed to determine an elapsed time of travel and predict a location of the vehicle based on the elapsed time of travel and the first predicted travel time.

Abstract: A system includes a first computer and a second computer. The first computer is programmed to receive a request from the second computer to move a vehicle from a first location to a second location and synchronize a timer stored in each of the computers. The first computer determines a route including waypoints from the first location to the second location and determines predicted travel times for legs of the route. The predicted travel times include a first predicted travel time for a first leg defined from the first location to a first waypoint included in the waypoints and the first computer transmits the route and the travel times to the second computer. The second computer is programmed to determine an elapsed time of travel and predict a location of the vehicle based on the elapsed time of travel and the first predicted travel time.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to identify a current location of the vehicle in a map of a stopping area, collect data to calibrate a sensor while the vehicle is moving in the stopping area, calibrate the sensor based on the collected data, and actuate one or more vehicle components to move the vehicle to a stopping location in the stopping area based on the location of the vehicle in the map and data collected by the calibrated sensor.

Abstract: While operating a vehicle on a travel path, a width of the travel path is determined based on a map. Upon detecting a presence or an absence of a target vehicle in the travel path, a lateral position for the vehicle on the travel path is determined based on the width of the travel path and the presence or absence of the target vehicle. The vehicle is controlled to operate according to the determined lateral position on the travel path and a speed of the vehicle that is based on the determined lateral position on the travel path.

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: While a vehicle is in an off state, expiration of a timer and receipt of a first message from a user device are monitored. Upon determining that at least one of the timer has expired or that the first message is received from the user device, a communication network onboard the vehicle is then monitored for a specified set of fault conditions. Upon detecting, on the onboard vehicle communication network, a fault condition included in the set of fault conditions, the fault condition is then identified as one of transient or persistent. A user assist feature of the vehicle is disabled upon identifying that the fault condition is transient and that a second message was received from the user device after the fault condition was detected.

Abstract: Enhancing situational awareness of an advanced driver assistance system in a host vehicle can be provided by acquiring, with an image sensor, an image data stream comprising a plurality of image frames. Analyzing A vision processor can analyze the image data stream to detect objects, shadows and/or lighting in the image frames. Recognizing A situation recognition engine can recognize at least one most probable traffic situation out of a set of predetermined traffic situations taking into account the detected objects, shadows and/or lighting. A processor can then control the host vehicle taking into account the at least one most probable traffic situation.

Abstract: A method for controlling a user-initiated vehicle-operation-command, the user of the vehicle being located external to the vehicle during an autonomous driving or parking operation of the vehicle, is provided wherein the vehicle-operation-command is a cancellation or stop command of the autonomous driving or parking operation. A system equipped to perform the method and to a vehicle including the system is also provided. The method and apparatus enhance the security-level of autonomous driving and parking operations.

Abstract: While operating a vehicle on a travel path, a width of the travel path is determined based on a map. Upon detecting a presence or an absence of a target vehicle in the travel path, a lateral position for the vehicle on the travel path is determined based on the width of the travel path and the presence or absence of the target vehicle. The vehicle is controlled to operate according to the determined lateral position on the travel path and a speed of the vehicle that is based on the determined lateral position on the travel path.

Abstract: A user trained map for providing driver assistance in a vehicle is obtained by entering a training mode, acquiring and at least temporarily storing vehicle sensor data related to the vehicle's position during training mode while the vehicle is operating in training mode, generating and storing a trained digital map of a parking route at least partially based on the acquired vehicle sensor data, acquiring and storing position information related to a drop-off location and to a pickup location, the drop-off location and the pickup location being part of the parking route, and exiting the training mode.

Abstract: A vehicle is operated along a segment of a stored travel path based on vehicle operating parameters for the segment. The stored travel path includes a risk level for the segment. The risk level for the segment is updated based on actuating a vehicle component to avoid an object along the segment. The vehicle operating parameters for the segment are updated based on the updated risk level. The vehicle is operated along the segment based on the updated vehicle operating parameters.

Abstract: A sub-area in an area is identified as an authorized sub-area for a vehicle to access based on detecting a first object in the sub-area from first sensor data. Then a parameter of the first object is determined from the first sensor data. Upon detecting a second object in the sub-area from second sensor data, a parameter of the second object is determined based on the second sensor data. The sub-area is determined valid based on determining the parameter of the second object is different than the parameter of the first object.

Abstract: A vehicle is determined to be in a parking area based on vehicle sensor data. A mapping operation mode is activated based on determining the vehicle is in the parking area. A travel path of the vehicle through the parking area is recorded based on receiving a user input selecting the mapping operation mode. A map of the parking area is updated based on the recorded travel path.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to identify a current location of the vehicle in a map of a stopping area, collect data to calibrate a sensor while the vehicle is moving in the stopping area, calibrate the sensor based on the collected data, and actuate one or more vehicle components to move the vehicle to a stopping location in the stopping area based on the location of the vehicle in the map and data collected by the calibrated sensor.

Abstract: A sub-area in an area is identified as an authorized sub-area for a vehicle to access based on detecting a first object in the sub-area from first sensor data. Then a parameter of the first object is determined from the first sensor data. Upon detecting a second object in the sub-area from second sensor data, a parameter of the second object is determined based on the second sensor data. The sub-area is determined valid based on determining the parameter of the second object is different than the parameter of the first object.

Abstract: While a vehicle is in an off state, expiration of a timer and receipt of a first message from a user device are monitored. Upon determining that at least one of the timer has expired or that the first message is received from the user device, a communication network onboard the vehicle is then monitored for a specified set of fault conditions. Upon detecting, on the onboard vehicle communication network, a fault condition included in the set of fault conditions, the fault condition is then identified as one of transient or persistent. A user assist feature of the vehicle is disabled upon identifying that the fault condition is transient and that a second message was received from the user device after the fault condition was detected.

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 method includes automatically operating an electrified vehicle in a noise reduction mode, via a control system of the electrified vehicle, if, based at least on noise restriction information and driver history information received by the control system, a current time and a current location of the electrified vehicle are appropriate for invoking the noise reduction mode.

Abstract: A method includes automatically operating an electrified vehicle in a noise reduction mode, via a control system of the electrified vehicle, if, based at least on noise restriction information and driver history information received by the control system, a current time and a current location of the electrified vehicle are appropriate for invoking the noise reduction mode.