Abstract: A method and apparatus for vehicle monitoring of infrastructure lighting, an example of which includes a vehicle having a camera, an inter-vehicle communication module and a controller. The controller is to identify a stationary infrastructure object within an image captured by the camera and identify, in response to determining that the stationary infrastructure object includes a lamp, whether the lamp is inoperable. The controller also is to send, via vehicle-to-infrastructure communication utilizing the inter-vehicle communication module, an alert to an infrastructure communication node indicating that the lamp is inoperable.

Abstract: Method and apparatus are disclosed for inter-vehicle cooperation for vehicle self height estimation. An example vehicle includes an inter-vehicle communication module and a body control module. The body control module broadcasts a request for images via the inter-vehicle communication module. The body control module also performs semantic segmentation on the images, generates a composite image of the vehicle based on the segmented images, and generates a three dimensional representation of the vehicle based on the composite image. Using the three dimensional representation, the body control module determines a height of the vehicle, and based on the height, controls the vehicle to avoid obstacles.

Abstract: Method and apparatus are disclosed for inter-vehicle cooperation for vehicle self imaging. An example vehicle includes an inter-vehicle communication module and a infotainment head unit. The infotainment head unit determines a pose of the vehicle and, in response to receiving an input to generate a composite image, broadcasts a request for images of the vehicle. The request message includes the pose. The infotainment head unit also generates the composite image of the vehicle based on the images and display the composite image on a display.

Abstract: Method and apparatus herein are for inter-vehicle cooperation for physical exterior damage detection. An example vehicle includes an inter-vehicle communication module and a body control module. The body control module is to monitors an area around the vehicle and characteristics of the vehicle to detect a triggering event and, in response to detecting the trigger event, broadcasts a request for images. Additionally, the body control module generates a composite image based on the images and compares the composite image to a reference image to identify damage on the vehicle. In response to identifying damage, the body control module takes an action specified by an operator.

Abstract: A method and apparatus for vehicle monitoring of infrastructure lighting, an example of which includes a vehicle having a camera, an inter-vehicle communication module and a controller. The controller is to identify a stationary infrastructure object within an image captured by the camera and identify, in response to determining that the stationary infrastructure object includes a lamp, whether the lamp is inoperable. The controller also is to send, via vehicle-to-infrastructure communication utilizing the inter-vehicle communication module, an alert to an infrastructure communication node indicating that the lamp is inoperable.

Abstract: The present disclosure relates to parking systems and parking methods. One parking system may include: a vehicle having an accelerator, brakes, wheels, sensors, a display, a processor, and memory; a parking assist program stored in the memory and configured to: receive dimensions of a parallel parking spot and the vehicle, project, based on the received dimensions, whether the vehicle can: exit the parallel parking spot with a future leading block, and exit the parallel parking spot with a future trailing block.

Abstract: Systems, devices, and methods are disclosed for unlocking a vehicle. An example vehicle unlock system includes a remote computing device configured to determine that the remote computing device will enter a compromised status in which the remote computing device cannot communicate with a server, responsively request an electronic key, and unlock the vehicle using the electronic key. The system also includes a server configured to store and transmit the electronic key.

Abstract: A vehicle wireless beacon scheduling system is disclosed. In one embodiment, the system includes a vehicle including steering, an accelerator, brakes, a processor, and memory. The system also includes a beacon optimizer module coupled to the processor comprising driver driving pattern data stored in the memory, and a beacon scheduler module coupled to the processor and configured to transmit Bluetooth Low Energy (BLE) data from the vehicle in advance of a predicted trip in the vehicle by a driver based on the driver driving pattern data. The beacon scheduler module is configured to dynamically adjust at least one of a transmission time, a transmission rate, and a transmission duration of the BLE data from the vehicle based on a probability of a trip taken by the driver in the vehicle.

Abstract: Systems and methods for driver identification using vehicle approach vectors are disclosed. An example disclosed vehicle includes a plurality of beacons configured to connect to a first mobile device and a second mobile device. The example vehicle also includes a plurality of ultrasonic sensors. The example vehicle includes a driver identifier configured to predict trajectories for the first and second mobile devices based on information received from the plurality of beacons and the plurality of ultrasonic sensors, and determine which one of the mobile devices is associated with a driver based on the predicted trajectories.

Abstract: A method for controlling a lane keep assist system comprises the combination of predicting that a driver may initiate a lane change without using a turn indicator switch and temporarily deactivating the lane keep assist system in response to such prediction.

Abstract: Systems and methods are disclosed for intelligent pre-boot and setup of vehicle systems. An example disclosed vehicle includes first sensors to detect a person within a user set in a first radius around the vehicle, second sensors to detect the person within a second radius around the vehicle; and a boot controller. The example boot controller activates vehicle subsystems in a first mode in response to detecting the person within the first radius. Additionally, the boot controller activates the vehicle subsystems in a second mode in response to detecting the person within the second radius.

Abstract: A method and apparatus to assist a vehicle ascending a hill are disclosed. An example apparatus includes a trailer connection component configured to determine whether a trailer is connected to the vehicle. The example apparatus also includes a road geometry component configured to determine a slope of a road on which the vehicle is driving. The example apparatus also includes a vehicle payload component configured to determine a gross vehicle weight of the vehicle. The example apparatus also includes a throttle adjuster configured to adjust a throttle based on the gross vehicle weight to maintain a set speed.

Abstract: Systems and methods are disclosed for autonomous behavior override utilizing an emergency corridor. An example disclosed system includes an autonomous vehicle, infrastructure nodes, and an emergency router. The example autonomous vehicle sends an emergency request in response to detecting an occupant experiencing a medical emergency. The example infrastructure nodes are distributed across a municipal area. The example emergency router selects a route from a first location of the autonomous vehicle to an emergency response facility. The example emergency router also selects the infrastructure nodes that are along the route. Additionally, the example emergency router instructs the selected infrastructure nodes to broadcast messages to create an emergency corridor.

Abstract: Systems and methods for driver identification using vehicle approach vectors are disclosed. An example disclosed vehicle includes a plurality of beacons configured to connect to a first mobile device and a second mobile device. The example vehicle also includes a plurality of ultrasonic sensors. The example vehicle includes a driver identifier configured to predict trajectories for the first and second mobile devices based on information received from the plurality of beacons and the plurality of ultrasonic sensors, and determine which one of the mobile devices is associated with a driver based on the predicted trajectories.

Abstract: The present disclosure relates to parking systems and parking methods. One parking system may include: a vehicle having an accelerator, brakes, wheels, sensors, a display, a processor, and memory; a parking assist program stored in the memory and configured to: receive dimensions of a parallel parking spot and the vehicle, project, based on the received dimensions, whether the vehicle can: exit the parallel parking spot with a future leading block, and exit the parallel parking spot with a future trailing block.

Abstract: A method for controlling a lane keep assist system comprises the combination of predicting that a driver may initiate a lane change without using a turn indicator switch and temporarily deactivating the lane keep assist system in response to such prediction.

Abstract: A method and apparatus to assist a vehicle ascending a hill are disclosed. An example apparatus includes a trailer connection component configured to determine whether a trailer is connected to the vehicle. The example apparatus also includes a road geometry component configured to determine a slope of a road on which the vehicle is driving. The example apparatus also includes a vehicle payload component configured to determine a gross vehicle weight of the vehicle. The example apparatus also includes a throttle adjuster configured to adjust a throttle based on the gross vehicle weight to maintain a set speed.

Abstract: A vehicle wireless beacon scheduling system is disclosed. In one embodiment, the system includes a vehicle including steering, an accelerator, brakes, a processor, and memory. The system also includes a beacon optimizer module coupled to the processor comprising driver driving pattern data stored in the memory, and a beacon scheduler module coupled to the processor and configured to transmit Bluetooth Low Energy (BLE) data from the vehicle in advance of a predicted trip in the vehicle by a driver based on the driver driving pattern data. The beacon scheduler module is configured to dynamically adjust at least one of a transmission time, a transmission rate, and a transmission duration of the BLE data from the vehicle based on a probability of a trip taken by the driver in the vehicle.