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 machine-learning localization scheme is provided. Calibration data is received from a plurality of vehicles, the calibration data including wireless data indicative of locations of mobile devices within the plurality of vehicles, ground truth data with respect to the locations of the mobile devices, and contextual information with respect to one or more of operating system versions of the mobile devices or battery levels of the mobile devices. A machine-learning model is trained using the wireless data and the contextual information as inputs and the ground truth data as output. Responsive to an error rate for the machine-learning model being within an error target, the machine-learning model is provided to the plurality of vehicles.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure based on a first number of pixels corresponding to the first object in the first image and determine a relative distance measure by comparing the first measure based on the first number of pixels corresponding to the first object to a second measure based on a second number of pixels corresponding to a second object in the first image.

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 controller may implement a key delivery manager on the vehicle side to aid in control of consumer access key delivery. These controls may include, for example, key redelivery to a mobile device, choosing a type of key delivery according to availability of vehicle connectivity, and revoking keys according to availability of vehicle connectivity. By using the key delivery manager, the controller takes into account state knowledge as well as connectivity availability to dictate which delivery method (and subsequent user interactions) should be utilized.

Abstract: A keyed-alike digital consumer access key is generated for distribution to a plurality of vehicles of a fleet. The keyed-alike digital consumer access key is deployed to the plurality of vehicles. The keyed-alike digital consumer access key is deployed to a mobile device. A request from a mobile device may be received to gain access to the plurality of vehicles. Responsive to validating the mobile device, the mobile device may be sent the keyed-alike digital consumer access key and a unique identifier corresponding to the mobile device, the keyed-alike digital consumer access key for use by the mobile device in authentication to one or more of the plurality of vehicles, the unique identifier for use by the mobile device in tracking which mobile device is accessing the one or more of the plurality of vehicles.

Abstract: The systems and methods disclosed herein are configured to determine if a trailer backup assist system is needed to assist a driver with a procedure to backup a trailer that is connected to a vehicle. The estimation of need for assistance may be determined by an assistance model. If assistance is needed, the systems and methods provide an input to initiate a process to enable the trailer backup assist system.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure based on a first number of pixels corresponding to the first object in the first image and determine a relative distance measure by comparing the first measure based on the first number of pixels corresponding to the first object to a second measure based on a second number of pixels corresponding to a second object in the first image.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a first measure of pixel values in the first image, acquire a second image, estimate ambient light illuminating the first object based on the second image and modify the first measure of pixel values based on a second measure of pixel values corresponding to estimated ambient light based on the second image. The instructions include further instructions to perform a comparison of the modified first measure of pixel values to a third measure of pixel values determined from a third image of a second object, wherein the third image is previously acquired by illuminating the second object with a second light beam and, when the comparison determines that the first measure is equal to the third measure of pixel values within a tolerance, determine whether the first object and the second object are a same object.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, determine a first measure of pixel values in the image and perform a comparison of the first measure of pixel values to a second measure of pixel values determined from a second image of a second object, wherein the second image is previously acquired by illuminating the second object with a second light beam. The instructions include further instructions to, when the comparison determines that the first measure is equal to the second measure of pixel values within a tolerance, determine that the first object and the second object are a same object.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image by illuminating a first object with a first light beam, segment the first image of the first object to determine regions that correspond to a first surface material and determine a first measure of pixel values in regions of the first image that correspond to the first surface material. The instructions include further instructions to perform a comparison of the first measure of pixel values to a second measure of pixel values determined from a second image of a second object, wherein the second image is previously acquired by illuminating the second object with a second light beam and when the comparison determines that the first measure is equal to the second measure of pixel values within a tolerance, determine that the first object and the second object are a same object.

Abstract: A vehicle ridesharing system includes a user interface used to interact with rideshare passengers. The interface matches a selected user identifier with a PIN index and sends the PIN index to a vehicle body control module (BCM) of the vehicle through an unsecure communication channel. The BCM uses the PIN index to select a salt value and a nonce associated with a unique user associated with the PIN index, and sends a salt and a nonce back to the interface through the unsecure channel. The user enters a PIN value into the interface to authenticate their identity for the rideshare service. The interface generates a first hash result by hashing the PIN value with the salt and the nonce received from the BCM, and sends the hashed result back to the BCM for authentication.

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: The disclosure generally pertains to minimizing battery power consumption while employing local wireless communication to activate an operation of an autonomous vehicle. In an example implementation, a vehicle controller of an autonomous vehicle transitions to a powered-down state after the autonomous vehicle is parked at a parking spot that lacks cellular communication coverage. The vehicle controller may transition to a powered-up state at a scheduled time to execute an autonomous operation based on a directive stored in a cloud-based device. In no directive has been stored, the vehicle controller wakes up periodically in a partially powered-up state and transmits a query in a local wireless communications format to the cloud-based device to check for a directive. If no directive is present, the vehicle controller transitions back to the powered-down state. If a directive is present, the vehicle controller transitions to a fully powered-up state to execute the autonomous operation.

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: A vehicle control system includes at least one detection device configured to capture detection data. The system further includes a controller that identifies a travel path of the vehicle extending from a current position to a target position of the vehicle. In response to the travel path, the controller calculates a travel zone occupied by the vehicle traversing the travel path and determines at least one viewing zone proximate to the travel zone. The controller further determines a location of a user based on the detection data and controls a navigation routine of the vehicle along the travel path in response to a location of the user relative to the at least one viewing zone.

Abstract: A vehicle control system includes at least one detection device configured to capture detection data and a controller. The controller identifies a parking space for a vehicle in an operating area based on the detection data and identifies a travel path of the vehicle from a current position to a target position aligning the vehicle with the parking space. In response to the travel path, the controller calculates a travel zone occupied by the vehicle traversing the travel path and determines at least one viewing zone proximate to the travel zone. The controller further determines a location of a user based on the detection data and controls a navigation routine of the vehicle along the travel path in response to the location of the user relative to the at least one viewing zone.

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.