Abstract: A method of correcting a GPS vehicle trajectory of a vehicle on a roadway for a high-definition map is provided. The method comprises receiving first bitmap data from a first sensor of a first vehicle to create a plurality of first multi-layer bitmaps for the first vehicle using the first bitmap data and receiving second bitmap data from a plurality of second sensors of a plurality of second vehicles to create a plurality of second multi-layer bitmaps. The method further comprises creating first probability density bitmaps and an overall probability density bitmap with a probability density estimation, and matching an image template from each of the first probability density bitmaps with the overall probability density bitmap to define match results. The method further comprises combining the match results to define combined utility values and determining the maximal utility value with the combined utility values.

Abstract: A vehicle includes a traffic light indication system (system) with one or more input devices for generating a status input signal associated with a status of a traffic light. The input devices further generate an overriding input signal associated with a hazardous driving condition. The system further includes a notification device for providing a traffic light notification to the user. The system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to generate an actuation signal based on the status input signal. The processor is further programmed to refrain from generating the actuation signal, in response to the processor determining the predicted collision based on the status input signal and the overriding input signal. The notification device provides the traffic light notification to the user, in response to the notification device receiving the actuation signal.

Abstract: A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.

Abstract: A method of creating a high-definition (HD) map of a roadway includes receiving a multi-layer probability density bitmap. The multi-layer probability density bitmap represents a plurality of lane lines of the roadway sensed by a plurality of sensors of a plurality of vehicles. The multi-layer probability density bitmap includes a plurality of points. The method further includes recursively conducting a hill climbing search using the multi-layer probability density bitmap to create a plurality of lines. In addition, the method includes creating the HD map of the roadway using the plurality of lines determined by the hill climbing search.

Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.

Abstract: Systems and method are provided for notifying an operator of a vehicle of reverse operation of a vehicle. In one embodiment, a method includes: receiving, by a processor, at least one of sensor data and vehicle message data, wherein the sensor data is generated by a sensor of an infrastructure system, and wherein the vehicle message data is generated by a remote vehicle; determining, by the processor, a reverse operation of the remote vehicle based on the at least one of the sensor data and the vehicle message data; and generating, by the processor, notification data based on the reverse operation of the remote vehicle.

Abstract: A vehicle includes a traffic light indication system (system) with one or more input devices for generating a status input signal associated with a status of a traffic light. The input devices further generate an overriding input signal associated with a hazardous driving condition. The system further includes a notification device for providing a traffic light notification to the user. The system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to generate an actuation signal based on the status input signal. The processor is further programmed to refrain from generating the actuation signal, in response to the processor determining the predicted collision based on the status input signal and the overriding input signal. The notification device provides the traffic light notification to the user, in response to the notification device receiving the actuation signal.

Abstract: A method and system for controlling driver communication includes monitoring, via a plurality of on-vehicle subsystems, a vehicle state, an external environment state, and an in-cabin state via the plurality of on-vehicle subsystems; determining a driver workload score based upon the external environment state, the in-cabin state, and the vehicle state; receiving an incoming message; ranking the incoming message; determining a notification action for the incoming message based upon the driver workload score and the rank of the incoming message; and executing the notification action for the incoming message.

Abstract: A method and system for controlling driver communication includes monitoring, via a plurality of on-vehicle subsystems, a vehicle state, an external environment state, and an in-cabin state via the plurality of on-vehicle subsystems; determining a driver workload score based upon the external environment state, the in-cabin state, and the vehicle state; receiving an incoming message; ranking the incoming message; determining a notification action for the incoming message based upon the driver workload score and the rank of the incoming message; and executing the notification action for the incoming message.

Abstract: A method for generating a user profile and system including a controller configured to execute instructions to execute the method. The method including determining by a user of a first vehicle that an interactive maneuver is needed to provide a resource, identifying a second vehicle to interact with, contacting a user of the second vehicle, requesting the user of the second vehicle to perform the interactive maneuver, receiving a response from the user of the second vehicle, and generating a user profile for the user of the second vehicle based on the performance of providing the resource.

Abstract: A method in a vehicle includes receiving a vehicle-to-infrastructure (V2I) message transmitted from a communication system affixed to infrastructure at a location. The V2I message includes at least one category of information among a plurality of categories of information and the plurality of categories of information include map-based information and road safety information. The method also includes determining, based on performing at least one type of verification, whether a misbehavior has occurred with respect to the V2I message. The misbehavior indicates incorrect information in the V2I message. A counter is maintained of a number of times the misbehavior has occurred with respect to the V2I message at the location, and the misbehavior is reported based on the counter.

Abstract: A method of determining the position of a vehicle includes generating a vehicle-based point cloud of objects in proximity to the vehicle, referenced to a vehicle-based coordinate system. The method also includes receiving an infrastructure-based point cloud, referenced to a global coordinate system, of objects detected by a camera mounted at a fixed location external to the vehicle, and registering the vehicle-based point cloud with the infrastructure-based point cloud to determine the vehicle position in the global coordinate system.

Abstract: A one pedal driving system for an electric vehicle including one or more electric motors includes a controller in wireless communication with one or more external vehicle networks. The controller executes instructions to receive, from the one or more external vehicle networks, an active zone notification that indicates the electric vehicle is traveling into a one pedal driving zone. The one pedal driving zone represents a section of roadway where the electric vehicle decelerates from an initial speed. The controller executes instructions to receive a pedal notification that a driver foot is removed from an accelerator pedal of the electric vehicle. In response to receiving the active zone notification and the pedal notification, the controller instructs the electric vehicle to decelerate from the initial speed by a regenerative braking torque that is created by the one or more electric motors to counteract a forward momentum of the electric vehicle.

Abstract: A communication system that determines a context and an intent of a specific remote vehicle located in a surrounding environment of a host vehicle includes one or more controllers for receiving sensed perception data including sensed perception data. The one or more controllers execute instructions to determine a plurality of vehicle parameters related to the specific remote vehicle. The the one or more controllers execute instructions to associate the specific remote vehicle with a specific lane of travel of a roadway based on map data. The one or more controllers determines possible maneuvers, possible egress lanes, and a speed limit for the specific remote vehicle for the specific lane of travel based on the map data, and determines the context and the intent of the specific remote vehicle based on the plurality of vehicle parameters, the possible maneuvers, the possible egress lanes for the specific remote vehicle, and the speed limit related to the specific remote vehicle.

Abstract: A full speed range adaptive cruise control system for a vehicle that stops at an intersection includes one or more controllers that execute instructions to receive localization data and situational data related to the vehicle. The one or more controllers determine, based on localization data and situational data, that the vehicle is approaching an intersection and will come to a stop at the intersection, where the vehicle is part of a queue including one or more surrounding vehicles. In response to determining the vehicle has come to a stop, the controller determines a position of the vehicle within the queue and an overall length of the queue. The controller calculates an adaptive launch time based on at least the position of the vehicle within the queue, the overall length of the queue, the situational data, and a timing delay associated with the queue.

Abstract: A system for predicting a door opening event of a vehicle includes an identity recognition device associated with an individual occupant profile. The system also includes one or more controllers in electronic communication with the identity recognition device, where the one or more controllers store one or more individual occupant profiles in memory of the one or more controllers that includes historical occupant behavior exhibited by one or more occupants associated with the identity recognition device. The one or more controllers execute instructions to determine a predetermined condition has occurred, where the predetermined condition indicates the vehicle is undergoing a potential engine off event. The one or more controllers determine a door opening event probability value based on at least the gear position probability value and the engine off probability value.

Abstract: A system for predicting a door opening event of a vehicle includes an identity recognition device associated with an individual occupant profile. The system also includes one or more controllers in electronic communication with the identity recognition device, where the one or more controllers store one or more individual occupant profiles in memory of the one or more controllers that includes historical occupant behavior exhibited by one or more occupants associated with the identity recognition device. The one or more controllers execute instructions to determine a predetermined condition has occurred, where the predetermined condition indicates the vehicle is undergoing a potential engine off event. The one or more controllers determine a door opening event probability value based on at least the gear position probability value and the engine off probability value.

Abstract: A system for associating a physical identity and a virtual identity of a target vehicle includes a data processor, including a wireless communication module, positioned within an ego vehicle, and a plurality of perception sensors, positioned within the ego vehicle and adapted to collect data related to a physical identity of the target vehicle and to communicate the data related to the physical identity of the target vehicle to the data processor via a communication bus, the data processor adapted to receive, via a wireless communication channel, data related to a virtual identity of the target vehicle and to associate the physical identity of the target vehicle with the virtual identity of the target vehicle.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive safety messages from a plurality of vehicles in communication with the edge server, determine an uplink frequency recommendation for transmitting safety messages from at least one vehicle of the plurality of vehicles based on at least one of a position error or a collision risk, determine a downlink frequency recommendation for transmitting safety messaging to at least one vehicle of the plurality of vehicles based on at least one of a position error or a collision risk, and transmit the frequency recommendations to the at least one vehicle.

Abstract: A method for generating a user profile and system including a controller configured to execute instructions to execute the method. The method including determining by a user of a first vehicle that an interactive maneuver is needed to provide a resource, identifying a second vehicle to interact with, contacting a user of the second vehicle, requesting the user of the second vehicle to perform the interactive maneuver, receiving a response from the user of the second vehicle, and generating a user profile for the user of the second vehicle based on the performance of providing the resource.