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 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: An event scheduling system for collecting image data related to one or more events by one or more autonomous vehicles includes a centralized scheduling system in wireless communication with one or more autonomous vehicles. Each autonomous vehicle collects the image data related to the one or more events while following a unique travel schedule. The centralized scheduling system executes instructions to determine the unique travel schedule for a specific autonomous vehicle, where the unique travel schedule directs the specific autonomous vehicle to the specific location of the filtered event to collect the image data.

Abstract: An on-demand, feature focused data collection system of an automobile vehicle includes at least one data collection device provided with an automobile vehicle. A data collection unit receives data from the at least one data collection device in response to a data collection request submitted by a user. A data scene group combines portions of the data received by the data collection unit and stored in the data collection unit of the automobile vehicle or at a remote server. A control logic device receives the data collection request and activates collection of the data. The control logic device includes: a data collection strategy which differs if different types of the data are available; a reference algorithm loaded or deployed; a storage capacity allocated for the data; and a storage policy employed to save the data.

Abstract: Systems and method are provided for transmitting data from a vehicle using a Wi-Fi network. A method includes: collecting, by a processor, performance data associated with a plurality of access points in the Wi-Fi network; segmenting, by a processor, a route into a plurality of route segments; mapping, by a processor, the plurality of access points to the plurality of route segments; selecting, by a processor, a set of access points from the plurality of access points based on the collected performance data, wherein the set of access points comprises a selected access point for each route segment of the plurality of route segments; predicting, by a processor, a scanning channel based on the set of access points and a current location of the vehicle; and selectively transmitting, by a processor, packet data based on the set of access points, the scanning channel, and the associated performance data.

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 an autonomous vehicle that predicts a location-based maneuver of a remote vehicle located in a surrounding environment includes one or more vehicle sensors collecting sensory data indicative of one or more vehicles located in the surrounding environment. The system also includes one or more automated driving controllers in electronic communication with the one or more vehicle sensors. The one or more automated driving controllers execute instructions to compare a lane of travel of the remote vehicle with a current lane of travel of the autonomous vehicle. In response to determining the lane of travel of the remote vehicle is a different lane than the current lane of the autonomous vehicle, the one or more automated driving controllers predict the location-based maneuver of the remote vehicle based on aggregated vehicle metrics that are based on historical data collected at the specific geographical location.

Abstract: A system is provided for mitigating a road network congestion. The system includes a plurality of motor vehicles positioned in associated locations in a road network. Each vehicle has one or more sensors generating an input and a Telematics Control Unit (TCU) for generating at least one location signal for a location of the associated motor vehicle and at least one event signal for an event related to the associated motor vehicle, with the location signal and the event signal corresponding to a High Speed Vehicle Telemetry Data (HSVT data) based on the input from the sensors. The system further includes a computer, which communicates with a display device and the TCUs. The computer includes a processor and a computer readable medium including instructions, such that the processor is programmed to identify the congestion and determine that the congestion is a recurring or a non-recurring congestion.

Abstract: A computer is provided for a system for detecting, characterizing, and mitigating road network congestion. The system includes a plurality of motor vehicles. Each motor vehicle includes a telematics control unit (TCU) for generating one or more location signals for a location of the associated motor vehicle and one or more event signals for an event related to the associated motor vehicle. The computer includes one or more processors for receiving the location signal and/or the event signal from the TCU of the associated motor vehicles. The computer further includes a non-transitory computer readable storage medium (CRM) including instructions, such that the processor is programmed to identify a location of the road network congestion at a current time step. The processor is further programmed to track the road network congestion and predict the road network congestion at a next time step.

Abstract: A system for providing weather conditions to a target vehicle includes a plurality of sensors mounted within the target vehicle adapted to measure weather conditions at the target vehicle and a computer processor adapted to collect data of weather conditions at the target vehicle from the plurality of sensors mounted within the target vehicle, collect data of measured weather conditions of at least one known location remote from the target vehicle, and build a temporal-spatial effectiveness model adapted to estimate weather conditions of at least one unknown location remote from the target vehicle using the data of weather conditions at the target vehicle and the data of measured weather conditions of the at least one known location remote from 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 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 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.

Abstract: An energy management system for an electric autonomous vehicle comprises a battery and a controller comprising a processor and a non-transitory computer-readable medium. The system comprises a pre-allocation input mechanism transmitting an input signal to the processor relating to a travel destination for the vehicle. The system comprises a navigation module receiving a wireless signal from a satellite network relating to a current location of the vehicle. The system comprises an autonomous input mechanism powered by the battery and transmitting an autonomous signal to the processor relating to dynamic conditions for autonomous operation of the vehicle. The processor determines a route between the current location and the travel destination, performs autonomous operation of the vehicle along the route, and selectively powers or tunes the usage of the at least one autonomous input mechanism with the battery during autonomous operation of the vehicle.

Abstract: A distributed computing system for determining road surface traction capacity for roadways located in a common spatio-temporal zone includes a plurality of vehicles that each include a plurality of sensors and systems that collect and analyze a plurality of parameters related to road surface conditions in the common spatio-temporal zone. The distributed computing system also includes one or more central computers in wireless communication with each of the plurality of vehicles. The one or more central computers execute instructions to determine a road surface traction capacity value for the common spatio-temporal zone.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive geoindexed detected vehicle event data from at least one vehicle occurring within a predefined time period, normalize the geoindexed detected vehicle event data according to Global Position System (GPS) data corresponding to a geoindex map, and generate an infrastructure recommendation based on the normalized and aggregated geoindexed detected vehicle event data.

Abstract: A method for facilitating uses of a code for vehicle experiences includes receiving code data from the code in a sign. The sign is disposed outside a host vehicle. The method further includes establishing a connection with a service using the code data obtained from the code and in response to establishing the connection with the service, receiving service data. The service data includes information about the service. The method further includes, in response to receiving the service data, controlling the host vehicle according to the service data received after establishing the connection with the service.

Abstract: A system to mitigate side-to-side movement of a vehicle induced by passing traffic includes a controller configured to receive vehicle speed information, a traffic sensing system in communication with the controller, a damping system in communication with the controller, and at least one controllable damper in communication with the damping system. The controller determines if the vehicle speed is less than a predetermined minimum vehicle speed threshold, determines if the vehicle is in the proximity of nearby traffic, determines if the nearby traffic is traveling at a speed above a predetermined traffic speed threshold, and commands increased damping at the at least one controllable damper.

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: 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: Methods and systems involve obtaining information from one or more sources to determine a real-time context. A method includes determining a situational awareness score indicating a level of vigilance required based on the real-time context, obtaining images of eyes of a driver to detect a gaze pattern of the driver, determining a relevant attention score indicating a level of engagement of the driver in the real-time context based on a match between the gaze pattern of the driver and the real-time context, and obtaining images of the driver to detect behavior of the driver. A driver readiness score is determined and indicates a level of readiness of the driver to resume driving the vehicle based on the behavior of the driver. An off-road glance time is obtained based on using the situational awareness score, the relevant attention score, and the driver readiness score.