Abstract: A method of providing information related to a charge status of an electric vehicle includes monitoring, with a system controller in communication with an electrical system within the vehicle, information related to a charge status of the vehicle, and, displaying, with the system controller, for a person in proximity of the vehicle, information related to a charge status of the vehicle.

Abstract: A system for providing information related to a charge status of an electric vehicle when the electric vehicle is connected to a charging station includes a system controller in communication with an electrical system within the electric vehicle and adapted to monitor information related to a charge status of the electric vehicle, and provide notification, to a third-party, of the charge status of the electric vehicle.

Abstract: A method of providing information related to a charge status of an electric vehicle when the electric vehicle is being used as a battery pack includes detecting, with a system controller in communication with an electrical system within the vehicle, when the electric vehicle is being used to provide power to an external electrical device, and when the electric vehicle is being used to provide power to an external electrical device, monitoring, with the system controller in communication with the electrical system within the electric vehicle, information related to a charge status of the electric vehicle, and providing notification, to a person in proximity to the electric vehicle, with the system controller, the charge status of the electric vehicle.

Abstract: An automatic lane change activation system includes a host vehicle including an in-vehicle computer. A telematics module communicates global positioning system (GPS) data between the computer and the telematics module. A host vehicle display device receives signals from the computer. A visual system status is presented to a host vehicle user by the display device including an information screen presenting a roadway information message, a control screen presenting an opportunity message identifying to the user an opportunity to switch the host vehicle from a first roadway lane into a second roadway lane, and a lane change directional arrow to indicate a path for the host vehicle to take. A motion control module in the host vehicle receives control signals from the computer including a lane change execution signal to initiate and control vehicle automatic lane changes in a non-congested area of a roadway for the host vehicle.

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 to identify lane-level road congestion includes: modeling a lane-level congestion evolution process as a 2-dimensional (2D) Markov chain having multiple vehicles moving through a predetermined segment of a road; aggregating a volume of the multiple vehicles over a predetermined unit of time moving through the predetermined segment of a road; populating a lane congestion map identifying individual road lanes having differing levels of congestion; directing an output of the lane congestion map and an output of a lane congestion model to a lane routing engine; and identifying routes and route changes for a host vehicle to apply to improve a host vehicle estimated time of arrival (ETA) at a predetermined finish location.

Abstract: A method to incorporate lane level road congestion to enhance vehicle navigation includes: collecting vehicle data from a fleet of vehicles; identifying a lane level distribution of multiple vehicles operating on a road having multiple lanes including a host vehicle; comparing the lane level distribution against a non-congested lane of the road; and identifying if a lane level congestion is occurring in at least one of the multiple lanes.

Abstract: A system for routing a vehicle based on roadway characteristics includes a global navigation satellite system (GNSS) for determining a geographical location of the vehicle, a vehicle communication system for communicating with at least one external system, and a vehicle controller in electrical communication with the GNSS and the vehicle communication system. The vehicle controller is programmed to determine a vehicle length and a vehicle width, receive a navigation request from an occupant of the vehicle, and determine a navigation route using at least the GNSS and the vehicle communication system in response to receiving the navigation request, where the navigation route is based at least in part on the vehicle length and the vehicle width.

Abstract: A charging unit guidance system includes a processor and a memory. The memory includes instructions that upon execution by the processor, cause the processor to receive a sequence of user states associated with a user of a first autonomous vehicle, each user state being one of a walking state and an at-charging-unit state and the sequence of user states being based on a sequence of observed user speeds associated with detected user position data associated with movement of the user from the first autonomous vehicle to a charging unit and at the charging unit, determine a charging unit location of the charging unit based on a correlation between the at-charging-unit states in the sequence of user states and the user position data, and upload the charging unit location associated with the charging unit to an edge computing system, the edge computing system being configured to provide guidance instructions to the charging unit to a second autonomous vehicle based at least in part on the charging unit location.

Abstract: A method for enabling vehicle connected services for a hearing-impaired vehicle occupant includes receiving sensor data from a plurality of sensors of a vehicle. The sensor data includes scene data indicative of a scene inside the vehicle and outside the vehicle. The method further includes determining that the hearing-impaired vehicle occupant is articulating sign language using the sensor data. Also, the method includes determining a vehicle-occupant message corresponding to the sign language articulated by the hearing-impaired vehicle occupant to generate vehicle occupant-message data in response to determining that the hearing-impaired vehicle occupant is articulating sign language. The method further includes transmitting the vehicle occupant-message data and the scene data to a remote system in response to generating the vehicle occupant-message data. Further, the method includes receiving a vehicle connected service from the remote system.

Abstract: Systems and methods are provided for estimating atmospheric properties using a LIDAR sensor. A control system includes a LIDAR sensor configured to detect a distance to an object, and an intensity of light reflected by the object. A controller's a target selection module determines whether the object is a target for use in estimating the atmospheric properties. A data collection module collects values of the distance and the intensity as detected by the LIDAR sensor. The atmospheric properties are determined based on the values of the distance and the intensity. In response to the determined atmospheric properties, the actuator is operated to effect an action.

Abstract: A method for selecting a route along an intersection includes receiving map data, receiving vehicle telemetry data crowdsourced from a plurality of remote vehicles. The method includes determining a sight distance using the map data, determining an average vehicle speed along the intersection using the vehicle telemetry data, determining a time available to navigate through the intersection using the sight distance and the average vehicle speed along the intersection, determining a ratio between the time available to navigate through the intersection and a time required to navigate the intersection, and determining a cost value of the intersection using the ratio between the time available to navigate through the intersection and the time required to navigate the intersection.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Abstract: A method for determining a risk boundary in response to the plurality of indications of hard braking events wherein the risk boundary is indicative of a plurality of speed flow pairs at which a risk of a hard braking event is below a threshold value, determining, at a road segment level, a set of speed flow pairs of average speed and vehicle count and a plurality of indications of hard braking events, determining a host vehicle speed, and performing at least one of reducing the host vehicle speed and increasing a host vehicle following distance in response to the host vehicle speed exceeding the risk boundary for the vehicle flow density.

Abstract: A sequence of images and a vehicle location associated with each of the images is received at a traffic light ROI management system. At least one traffic light is detected in each image. A ECS traffic light ROI is defined for each image. The ECS traffic light ROI encloses the detected traffic lights. A visual feature template is generated for each image. The visual feature template is based on the ECS traffic light ROI for the image. Each visual feature template is mapped to the vehicle location associated with the image to a HD map. The HD map is transmitted to an autonomous vehicle to enable the autonomous vehicle to identify a real-time traffic light ROI in a real-time image based on a match between a first visual feature template and real-time visual features of the real-time image at the vehicle location associated with the first visual feature template.

Abstract: A first closed lane segment file including a first lane change histogram and a lane closure start point associated with a closed lane segment of a first lane of a road is received from a lane change data aggregation system at a lane change management system. The first lane change histogram includes a distribution of a plurality of lane change points received from vehicles that previously engaged in a lane change from the first lane to a second lane of the road in response to the closed lane segment. A lane change control point is determined based on the first lane change histogram at the lane change management system. A command is issued from the lane change management system to an ADS of the autonomous vehicle to initiate a lane change from the first lane to the second lane at the lane change control point.

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: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive metadata and results including at least one data transmission constraint, perform a search of a k-d tree based on the at least one data transmission constraint, and select at least one data compression process from the k-d tree based on the search. The k-d tree includes a plurality of nodes corresponding to data compression solutions.

Abstract: In various embodiments, methods and systems are provided for processing data pertaining to a vehicle event for a vehicle. In accordance with an exemplary embodiment, vehicle sensor data is obtained from one or more vehicle sensors pertaining to the vehicle event. Also in an exemplary embodiment, an assessment of the vehicle event is determined via a processor, including as to a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data.

Abstract: A system for quantitively determining quality for pavement markings disposed along pavement on a roadway includes one or more controllers in wireless communication with a plurality of vehicles. The one or more controllers receive image data represents the pavement markings disposed along the pavement collected by the plurality of vehicles. The one or more controllers execute instructions to determine at least one of a color distance measurement between a mean color space value of the pavement markings and an ideal marking color space value and a marking intensity contrast ratio between the pavement markings and the pavement.