Abstract: A system broadcasts a vehicle state query to a plurality of vehicles within an ATSC broadcast radius at a plurality of different time windows. The system receives responses to the state query indicating at least vehicle motion data. The system aggregates the data to determine time windows when vehicles are present within the broadcast radius and are not stationary when vehicles are present within the broadcast radius and are stationary. Further, the system determines time windows projected to result in completed delivery above a predefined threshold percentage of a vehicle software update designated for broadcast, chosen for delivering the update to the threshold percentage as quickly as possible with higher data rate transmission relative to other time windows. The system automatically instructs an ATSC transmission point to broadcast the vehicle software update during the determined time windows.

Abstract: Sensor data and data from V2V messages are used to detect obstacles. Additional obstacles are identified in map data according to a vehicle's position. In response to detecting a turn intent, a controller calculates a turn path according to the detected obstacles and properties of the vehicle. The turn path is presented to a user, such as by display on a HUD or superimposing the turn path on an image from a forward facing camera. A desired steering angle to traverse the turn path may be displayed, such as relative to the current steering angle of the vehicle. Notifications regarding the path and turning intent of other vehicle may be displayed along with the turn path.

Abstract: Managing vehicle application usage of computing resources is provided. A request for computing resources of a communications network is received from a vehicle application installed to a vehicle. An access point name (APN) is assigned to the vehicle application based on an application identifier corresponding to the vehicle application by accessing stored APN information including a mapping of application identifiers to corresponding APNs. The computing resources are accessed by the vehicle application connecting to the communications network using the APN.

Abstract: A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

Abstract: Scheduling communications using a plurality of wireless interfaces is provided. Signals are monitored that are received from a first antenna configured to send and/or receive first messages over a first message protocol. Using the signals, time slot information is updated that is indicative of which equally-sized consecutive future time slots the first antenna is predicted to transmit and/or receive the first messages. A transmission is scheduled of a second message over a second antenna configured to send and/or receive second messages over a second message protocol using the time slot information to avoid out-of-band emission (OOBE) interference.

Abstract: A vehicle receives a first portion of content via ATSC broadcast, generates a random nonce, responsive to receiving the content, and sends the nonce and a request for content verification to a remote server. The vehicle receives a message from the remote server indicating whether the first portion of content is likely valid, the message including a second portion of content and a hash value when the content is likely valid. The vehicle then calculates a second hash value, using the random nonce and the first portion of content. The vehicle compares the second hash value to the first hash value, and responsive to the second hash value matching the first hash value, combines the second portion of content and the first portion of content to create combined content. The vehicle then uses a security strategy to convert the combined content into utilizable content, and utilizes the content.

Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.

Abstract: A system includes a plurality of vehicles and at least one first processor in a first vehicle and at least one second processor in each other of the plurality of vehicles. The first vehicle wirelessly receives remote driving commands, from a remote computing system, instructing control of the first vehicle and executes the remote driving commands to control the first vehicle in accordance with the remote driving commands. The first vehicle wirelessly broadcasts the remote driving commands, including a location of the first vehicle where a given of the driving commands was executed. The second vehicle wirelessly receives the broadcast remote driving commands, stores the received remote driving commands in sequence, and executes the given of the driving commands when a location of the second vehicle corresponds to the location of the first vehicle where the given of the driving commands was executed.

Abstract: Biometric data are collected about a user in a vehicle. A user is prompted to provide an input on a wearable device to identify an object based on the biometric data.

Abstract: Systems and methods of detecting and predicting quality of service links for connected vehicles are provided herein. An example method receiving, by a first connected vehicle, a signal that includes at least a quality of service metric of a communications link, determining an action to be executed by the first connected vehicle, determining when the quality of service metric of the communications link for the first connected vehicle is at or above a threshold value, and executing the action by the first connected vehicle when the quality of service metric is at or above a threshold value.

Abstract: A system includes a multi-access edge computing camera that can determine characteristics of a group of waiting vehicle passengers based on machine-classification and count of individual elements of the group derived from imaging the group with the camera and supplement at least the count based on short-range wireless broadcast received from mobile devices possessed by members of the group. The camera conveys the characteristics to a dispatch process, and the dispatch process determines that a non-dispatched fleet vehicle has present capacity to accommodate the determined characteristics. The dispatch process determine that the characteristics meet a defined predicate for dispatch of the non-dispatched fleet vehicle and responsive to determining that the characteristics meet a defined predicate for dispatch of the non-dispatched fleet vehicle, dispatches the fleet vehicle.

Abstract: An autonomous vehicle may determine that it has an amount of power remaining projected to be needed to reach a recharging point by autonomously traveling with predefined systems disabled. The vehicle may disable the predefined systems and travel towards the recharging point. Subsequent to the disabling, the autonomous vehicle may determine that it no longer has the amount of power remaining projected to be needed to reach the recharging point. The vehicle may then communicate with a server and request assistance. The vehicle may then travel to an instructed rendezvous point with a second autonomous vehicle, the rendezvous received from the server. The two vehicles may then communicate to allow the first vehicle to leverage a capability of the second autonomous vehicle, responsive to the first and second autonomous vehicles being within communication range, allowing the first vehicle to reach the recharging point via the leveraging.

Abstract: A sequence of connected messages is transmitted using Semi-Persistent Scheduling (SPS) of a predefined period. A random value for a 1-shot duration timer is set, the random value being chosen as being between a minimum and a maximum multiple of the predefined period. Responsive to expiration of the 1-shot duration timer, 1-shot resources are allocated for a 1-shot transmission, independent of SPS-allocated resources of the SPS, and a next packet of the sequence of connected messages is transmitted as a 1-shot message using the 1-shot resources instead of using the SPS-allocated resources of the SPS.

Abstract: A system includes a stationary infrastructure element including a camera mounted to the infrastructure element and an infrastructure server. The infrastructure server includes a processor and a memory, the memory storing instructions executable by the processor to receive a request from a movable vehicle, the request identifying a data anomaly including at least one of (1) a sensor of the vehicle collecting data below a confidence threshold or (2) a geographic location outside a geographic database of the vehicle, to actuate the camera to collect image data of one of the vehicle or the geographic location, to identify geo-coordinates of the vehicle or the geographic location based on identified pixels in the image data including the vehicle or the geographic location, and to provide the geo-coordinates to the vehicle to address the data anomaly.

Abstract: A vehicle, hitch, and articulating trailer include vehicle to vehicle and infrastructure communications and vehicle computing systems, which have a controller coupled to and/or including one or more of a dynamics measurement unit, a transceiver, and a position sensor, among other components. The controller(s) are configured to, in response to detecting positions of trailer corners from the position sensor, generate vehicle and trailer relative orientation and navigation data including location, velocity, and orientation, utilizing vehicle and trailer electronic polyhedrons articulating about a hitch point and representing the combination vehicle and trailer predicted path and envelopes. In response to detected trailer movement relative to the hitch point, the generated articulated polyhedrons are generated with the navigation data, which includes the location, speed, and orientation, which are in turn communicated to nearby vehicles and roadway infrastructure.

Abstract: A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

Abstract: A vehicle receives a first portion of content via ATSC broadcast, generates a random nonce, responsive to receiving the content, and sends the nonce and a request for content verification to a remote server. The vehicle receives a message from the remote server indicating whether the first portion of content is likely valid, the message including a second portion of content and a hash value when the content is likely valid. The vehicle then calculates a second hash value, using the random nonce and the first portion of content. The vehicle compares the second hash value to the first hash value, and responsive to the second hash value matching the first hash value, combines the second portion of content and the first portion of content to create combined content. The vehicle then uses a security strategy to convert the combined content into utilizable content, and utilizes the content.

Abstract: Systems and methods for connected vehicle and mobile device communications are provided herein. An example method includes determining a distracted condition for at least one of a driver or a pedestrian by evaluating actions occurring within in a vehicle of the driver or on a mobile device of the pedestrian; determining a distraction level for either the driver or the pedestrian based on the actions occurring within in the vehicle or on the mobile device; and providing an alert message to the mobile device or a human machine interface of the vehicle based on the distraction level, the alert message warning of a distracted condition of the pedestrian or the driver.

Abstract: Systems and methods of detecting and predicting quality of service links for connected vehicles are provided herein. An example method receiving, by a first connected vehicle, a signal that includes at least a quality of service metric of a communications link, determining an action to be executed by the first connected vehicle, determining when the quality of service metric of the communications link for the first connected vehicle is at or above a threshold value, and executing the action by the first connected vehicle when the quality of service metric is at or above a threshold value.

Abstract: Vehicles that are autonomous or human-operated may drive in a platoon to achieve energy savings. A leader vehicle receives information broadcasts from following vehicles that include a state of energy and one or more other values such as energy usage rates, range, destination, and aerodynamic properties. The leader vehicle may then determine an ordering of vehicles that increases the range of the platoon, e.g., reduces the number of refueling/recharging stops of the platoon. Other considerations for ordering the vehicles may include overall energy savings and a fair distribution of energy savings. A desired ordering may be achieved by transmitting swap commands to pairs of vehicles until the platoon is in the correct ordering.