Abstract: A virtual augmentation system includes: one or more head-up displays displaying virtual images over an environment forward of a host vehicle; sensors determining parameters indicative of a state of the host vehicle; a telematics module obtaining roadway information indicative of roadway markings and objects along a predicted path of the host vehicle; and a virtual marker and object modification module, based on the parameters and the roadway information, i) detecting one or more roadway markings and objects, ii) generating modified versions of the one or more detected roadway markings and objects as one or more virtual roadway markings and objects, and iii) via the one or more head-up displays, overlaying the virtual one or more roadway markings and objects over at least a portion of the one or more detected roadway markings and objects in a field of view of an occupant of the host vehicle.

Abstract: Methods and systems are provided that provide single lane passing assistance for vehicles. Sensors are configured to obtain sensor data as to a second vehicle that is travelling in the same lane as the vehicle with a lower rate of speed. The processor is coupled to the sensors and to one or more remote devices, and is configured to at least facilitate receiving the sensor data from the sensors; receiving additional data from the one or more remote devices as to the roadway, including oncoming traffic in an adjacent lane; determining, using the sensor data and the additional data, a passing maneuver for the vehicle to overtake the second vehicle and a level of caution associated with the passing maneuver; and performing a vehicle control action, via instructions provided by the processor, based on the passing maneuver and the level of caution associated therewith.

Abstract: A system and method for traffic signal violation risk assessment for a vehicle. The system includes a sensor such as a front camera module (FCM) configured to capture an image in a field of view forward the vehicle; a vehicle communications system configured for at least one of vehicle-to-infrastructure (V2I) communications and telematic communications with an infrastructure unit, wherein the infrastructure unit is capable of providing intersection information; and a traffic signal violation risk assessment (TSVR) module in communication with the FCM and the vehicle communications system. The TSVR module analyzes the captured image to determine an intersection, a traffic light at the intersection, and a traffic light current state (TLCS); collect intersection information from the infrastructure unit, and determine a risk of traffic signal violation based on the information and implement a physical action to mitigate the risk.

Abstract: A hidden road parameter detection system is provided with a host vehicle. The system includes a remote vehicle having one or more remote input devices generating one or more remote input signals associated with data indicative of a host vehicle, the road parameter, and/or an obstruction blocking a line of sight between the host vehicle and the road parameter. The system further includes a computer having one or more processors and a non-transitory computer readable medium storing instructions, such that the processor is programmed to compare a classification of the obstruction. The processor is further programmed to generate an actuation signal in response to the processor determining that the obstruction is blocking the line of sight from the host vehicle to the road parameter. The host vehicle includes one or more notification devices notifying an occupant of the host vehicle of the road parameter.

Abstract: A system of a first vehicle automatically exchanging collision reports with a second vehicle is provided. The vehicle system includes a collision detection verification module in electrical communication with a plurality of sensors and a vehicle database. The collision detection module detects whether a collision event has occurred between the first vehicle and the second vehicle based on the sensed vehicle data acquired, broadcasts a first collision message when the collision event has occurred, and exchanges, with the second vehicle, a first collision report for a second collision report based on the first collision message. The first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a second driver insurance information associated with the second vehicle.

Abstract: A method of controlling communication signal transmission in vehicle-to-everything (V2X) communication includes obtaining a prohibited V2X communication map, the prohibited V2X communication map including locations of multiple geo-fence boundaries for regions in which V2X communication signal transmission is prohibited, obtaining a current location of a vehicle, determining a distance of the vehicle from a nearest one of the multiple geo-fence boundaries, and inhibiting transmission of V2X communication signals from at least one antenna of the vehicle in response to a determination that the distance of the vehicle is less than a specified boundary distance threshold value.

Abstract: A data propagation system includes one or more data mules that transmit latency-tolerant data across a vehicle population, where each data mule receives the latency-tolerant data from one or more back-office servers and the data mules maintain a polling connection with the back-office servers. In embodiments, the data propagation system includes one or more controllers that are part of an ego vehicle, wherein the ego vehicle is part of the vehicle population, where the one or more controllers include one or more processors that execute instructions to establish a wireless connection to a geofence network as the ego vehicle drives along a navigational route. In another embodiment, the data propagation system includes one or more back-office servers in wireless communication with the plurality of vehicles that are part of the vehicle population. The back-office servers identify one or more data mules based on a modified cumulative rank score.

Abstract: A method and system for collecting, matching and reporting evidence related to a collision event captured on a first collision detection device associated with a vehicular transportation system. A first incident report of the collision event communicated from the first collision detection device to the cloud-based application. The first incident report includes image data, location data, and temporal data of the collision event. A collision event database of the cloud-based application is searched to locate a second incident report of the collision event. The first incident report is compiled with the second incident report when the collision event of the first incident report matches the recorded collision event of the second incident report. A collision evidence report is generated based on the compiled first and second incident reports.

Abstract: A method and system for collecting, matching and reporting evidence related to a collision event captured on a first collision detection device associated with a vehicular transportation system. A first incident report of the collision event communicated from the first collision detection device to the cloud-based application. The first incident report includes image data, location data, and temporal data of the collision event. A collision event database of the cloud-based application is searched to locate a second incident report of the collision event. The first incident report is compiled with the second incident report when the collision event of the first incident report matches the recorded collision event of the second incident report. A collision evidence report is generated based on the compiled first and second incident reports.

Abstract: Methods and apparatus are provided for matching vehicles related to a collision event involving a first vehicle and a second vehicle. A first collision message having data related to a first collision event detected by the first vehicle with a first unknown vehicle is received by a collision matching application. The collision matching application determines whether a second collision message having data related to a second collision event detected by the second vehicle with a second unknown vehicle has been received. The first and second collision messages are compared to determine whether the first collision event is the same as the second collision event. A first collision report is transmitted to the first vehicle and a second collision report to the second vehicle after determining that the first collision event is the same as the second collision event.

Abstract: A system and method for collecting evidence with an observer device of a collision event of a vehicle on a road are provided. An image sensor captures image data during the collision event. A communication module receives a collision message broadcast from a vehicle involved in the collision event. An evidence collection module processes image data acquired from the image sensor to determine whether the collision event was captured. The evidence collection module also compares temporal and geographic data from the collision message collected by the involved vehicle during the collision event and with time and location metadata in the image data to flag an image of the collision event. An evidence report including the flagged image of the collision event is generated when the time and location metadata matches the temporal and geographic data, and the image data captured the collision event.

Abstract: A system of a first vehicle automatically exchanging collision reports with a second vehicle is provided. The vehicle system includes a collision detection verification module in electrical communication with a plurality of sensors and a vehicle database. The collision detection module detects whether a collision event has occurred between the first vehicle and the second vehicle based on the sensed vehicle data acquired, broadcasts a first collision message when the collision event has occurred, and exchanges, with the second vehicle, a first collision report for a second collision report based on the first collision message. The first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a second driver insurance information associated with the second vehicle.

Abstract: A driving assistance method for a vehicle having a rear-facing camera and pulling a trailer includes, through one or more controllers, identifying one or more geometric characteristics of the trailer using one or more images of the trailer taken from the rear-facing camera. The method also includes identifying one or more geometric characteristics of a passageway through which the vehicle and trailer intend to pass. Additionally, the method includes predicting based on the one or more geometric characteristics of the trailer and the one or more geometric characteristics of the passageway whether the passageway will physically interfere with the trailer. Further, the method includes, if the passageway is predicted to physically interfere with the trailer, taking action to prevent the interference.

Abstract: A trailer backing assistance (TBA) application in a vehicle includes a vehicle attached to a trailer by a movable hitch. The TBA utilizes an HMI, sensors on the vehicle, a GPS system, and a remote computing system (RCS). A controller having a processor, memory, and input/output (I/O) communicates with the sensors, HMI, RCS and GPS via a V2I communications network. The memory stores the TBA which is executed by the processor. The TBA determines conditions have been satisfied, obtains and processes optical data from sensors and RCS, presents a vehicle environment view, prompts a vehicle operator for first and second inputs, calculates a current location of the vehicle, generates a planned path to a target location, presents an animation of the vehicle traversing the path, and continuously displays a live view of the trailer and hitch while actively adjusting on-screen instructions to guide the vehicle and trailer along the path.

Abstract: A method for increasing occupant comfort and safety in a vehicle may include detecting an occupant in the vehicle using one or more of a plurality of occupant monitoring sensors. The method further may include determining an occupant comfort and safety level of the occupant in the vehicle using the one or more of the plurality of occupant monitoring sensors in response to detecting the occupant in the vehicle. The occupant comfort and safety level includes one of: a high comfort and safety level and a low comfort and safety level. The method further may include performing a monitoring action in response to determining that the occupant comfort and safety level is the high comfort and safety level. The method further may include performing a corrective action in response to determining that the occupant comfort and safety level is the low comfort and safety level.

Abstract: A method includes determining that the vehicle is approaching a garage and receiving a video from a garage camera and determining a frame difference per pixel with respect to time as the vehicle moves into the garage and counting a number of rows of pixels with no changes as the vehicle moves into the garage using the frame difference per pixel. Further, the method includes comparing the number of rows of pixels with no changes as the vehicle moves into the garage with a predetermined row threshold to determine whether the number of rows of pixels with no changes with respect to time as the vehicle moves into the garage is less than or equal to the predetermined row threshold and commanding a display to provide a notification indicative that the vehicle is properly parked in the garage.

Abstract: A system for determining an optimal behavior for a vehicle includes at least one vehicle sensor and a controller in electrical communication with the at least one vehicle sensor. The controller is programmed to determine an ingress stop bar location and an egress stop bar location of a traffic-signal-controlled intersection in a path of the vehicle using the at least one vehicle sensor. The controller is further programmed to determine a current signal phase of the traffic signal using the at least one vehicle sensor. The controller is further programmed to determine a location of a first remote vehicle using the at least one vehicle sensor. The controller is further programmed to determine the optimal behavior for the vehicle based at least in part on the ingress stop bar location, the egress stop bar location, the current signal phase, and the location of the first remote vehicle.

Abstract: The present disclosure is directed to an electric vehicle cordset and system for identifying faults in an electric vehicle cordset. The electric vehicle cordset and system include a cordset controller. The cordset controller includes a cordset processor, a plurality of fault detection circuits connected to the cordset processor, and a first status light connected to the cordset processor. The cordset processor is configured to execute a set of instructions including identify a fault in one of the fault detection circuits, terminate power in the cordset, turn on the first status light indicating the fault is present, and encode the fault in the first status light through modulating the first status light.

Abstract: A method includes determining that a closure device is in an opened position. The method includes determining, via processing of sensor data, that a user is not present and determining whether an object is present. Based on determination that the closure device is in the opened position, and based on determination that the user is not present, and based on determination that the object is not present, the method includes prompting the user to select a command to adjust the closure device from the opened position to the closed position. Based on the user selecting the command, the method includes operating the closure device to adjust the closure device from the opened position to the closed position.

Abstract: A collaborative perception system that creates a cooperative perception map based on perception data collected by a plurality of vehicles and includes one or more central computers in wireless communication with one or more controllers of each of the plurality of vehicles located in an environment containing a plurality of static roadside objects. The one or more central computers executes instructions to rank each static roadside object in the environment based on a respective utility function value and create the cooperative perception map by annotating map data of the environment based on a respective rank and geographic location of each of the static roadside objects located in the environment.