Abstract: A latency masking system for use in an autonomous vehicle (AV) system. The latency masking system comprises a sensors module providing sensor data from a plurality of sensors. The sensor data includes image frames provided by a vehicle camera and vehicle motion data. A wireless transceiver transmits the sensor data to a remote server associated with a network infrastructure and receives remote state information derived from the sensor data. An on-board function module receives the sensor data from the sensors module and generates local state information. A state fusion and prediction module receives the remote station information and the local state information and updates the local state information with the remote state information. The state fusion and prediction module uses checkpoints in a state history data structure to update the local state information with the remote state information.

Abstract: A system and method for sharing a digital key for a vehicle. The system includes a first digital key device having a digital key stored thereon, a second digital key device, and a vehicle server. The first digital key device sends a request to the vehicle server for a key sharing session. The vehicle server commences a key sharing session in response to the request. The first digital key device shares the digital key to a second digital key device. The vehicle server ends the key sharing session.

Abstract: Systems and methods to perform traffic signal management for operation of autonomous vehicles involve obtaining vehicle data from two or more vehicles at an intersection with one or more traffic lights. The vehicle data includes vehicle location, vehicle speed, and image information or images. A method includes determining at least one of three types of information about the one or more traffic lights based on the vehicle data. The three types of information include a location of the one or more traffic lights, a signal phase and timing (SPaT) of the one or more traffic lights, and a lane correspondence of the one or more traffic lights. The method also includes providing the at least one of the three types of information about the one or more traffic lights for the operation of autonomous vehicles.

Abstract: An autonomous vehicle (AV) perception system and method of determining an autonomous vehicle (AV) action for a host vehicle. The method includes: obtaining onboard vehicle sensor data from at least one onboard vehicle sensor, the onboard vehicle sensor is a part of vehicle electronics of the host vehicle; obtaining edge sensor data from at least one edge sensor, the edge sensor is a part of an edge layer; generating a unified perception output based on the onboard vehicle sensor data and the edge sensor data; determining an AV action for the host vehicle based on the unified perception output; and providing the AV action to the host vehicle, wherein the host vehicle is configured to carry out the AV action.

Abstract: In one example implementation, a computer-implemented method includes receiving, by a host processing device, timestamps from a vehicle processing system of a target vehicle, the timestamps being determined based at least in part on parking area data for a target parking area and vehicle data for the target vehicle. The method further includes calculating, by the host processing device, an arrival rate and a service rate based on the timestamps. The method further includes calculating, by the host processing device, a probability of parking availability for the target parking area based at least in part on the arrival rate and the service rate. The method further includes controlling, by the host processing device, the vehicle based at least in part on the probability of parking availability for the target parking area.

Abstract: A vehicle, operating system of a vehicle and a method of operating a vehicle is disclosed. A local electronic control unit is operated at the vehicle in order to control the vehicle. A backup electronic control unit is operated at a remote computing platform for control of the vehicle. A control of the vehicle is transferred from the local electronic control unit to the backup electronic control unit upon occurrence of a fault at the local electronic control unit.

Abstract: A vehicle is described, and includes an on-board controller, an extra-vehicle communication system, a GPS sensor, a spatial monitoring system, and a navigation system that employs an on-vehicle navigation map. Operation includes capturing a 3D sensor representation of a field of view and an associated GPS location, executing a feature extraction routine, executing a semantic segmentation of the extracted features, executing a simultaneous location and mapping (SLAM) of the extracted features, executing a context extraction from the simultaneous location and mapping of the extracted features, and updating the on-vehicle navigation map based thereon. A parsimonious map representation is generated based upon the updated on-vehicle navigation map, and is communicated to a second, off-board controller. The second controller executes a sparse map stitching to update a base navigation map based upon the parsimonious map representation. The on-vehicle navigation map is updated based upon the off-board navigation map.

Abstract: Systems and method are provided for customizing a user profile for a vehicle. In one embodiment, a method includes: customizing, at a first device, a user profile defining vehicle access for one or more users of the vehicle; providing, to a second device, an access key and the user profile through a first communication channel; providing, to the vehicle, the user profile through a second communication channel; verifying the user profile of the second device with the user profile of the vehicle; and in response to the verifying, storing, in the vehicle, the access key.

Abstract: A driver monitoring system configured to monitor the performance of a driver of a first vehicle system communicating wirelessly with the driver monitoring system. The system comprises a vehicle database comprising a vehicle records associated with a plurality of vehicle systems and a vehicle server comprising a driver behavior module that receives from the first vehicle system first event data captured by a plurality of sensors. The first event data includes a first event time and a first event location. The server identifies a first driver behavior associated with the first event data. The server uses the first event time and the first event location to identify in the vehicle database a plurality of neighboring vehicles proximate the first vehicle system and determines from vehicle records an average value associated with the first driver behavior.

Abstract: A driver monitoring system configured to monitor the performance of a driver of a vehicle communicating wirelessly with the driver monitoring system. The system comprises a driver behavior module that receives from the vehicle event data captured by a plurality of sensors in the vehicle and identifies at least one of a plurality of driver behaviors. A behavior characterization module receives from the driver behavior module the at least one identified driver behavior and characterizes the at least one identified driver behavior into at least one of a plurality of behavior categories. A risk assessment module analyzes the at least one characterized driver behavior in the plurality of behavior categories and determines therefrom a driver profile that may include a risk assessment for the driver of the vehicle system.

Abstract: A system and method to provide a trailer-considerate route recommendation involve obtaining logged information from vehicles, the logged information from each of the vehicles corresponding with a location of the vehicle, a time, a type of the vehicle, and a type of trailer pulled by the vehicle. A method includes obtaining potential routes under consideration for an on-going navigation by a trailering vehicle towing a towed trailer and obtaining road characteristics for the potential routes. A risk score is computed for each of the potential routes, the risk score being a weighted sum of risk factors. Each of the risk factors results from quantifying the logged information or the road characteristics. The trailer-considerate route recommendation is provided based on the risk score associated with each of the potential routes to affect the on-going navigation by the trailering vehicle.

Abstract: A system for correcting HD map images is provided. The system is configured to: receive, from a plurality of vehicles, ground view image data of a map anomaly hotspot captured by the vehicles; convert the ground view image data to bird view image data using homography; remove outliers from the bird view image data; apply an error reduction algorithm; stitch together a sequence of consecutive images from the image data after error reduction to produce a high-definition image, wherein each of the consecutive images has been generated through converting ground view image data to bird view image data using homography, removing outliers from the bird view image data, and applying an error reduction algorithm; compare the stitched sequence of consecutive images to a high-definition image of the hotspot to determine revisions to the high-definition image; and provide revised high-definition image data for use in navigating near the map anomaly hotspot.

Abstract: Methods and apparatus are provided for preserving privacy of data collected from a vehicle. In one embodiment, a method includes: receiving, by a processor, privacy preferences entered by a user of the vehicle; receiving, by the processor, the data collected from the vehicle; distorting, by the processor, the data; downsampling, by the processor, the distorted data based on the privacy preferences; and communicating, by the processor, the downsampled, distorted vehicle data to a third-party entity.

Abstract: Methods and apparatus are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, vehicle position data from the vehicle; processing, by the processor, vehicle position data with vehicle position data from other vehicles to determine a lane topology; processing, by the processor, the vehicle position data to determine traffic conditions within a lane of the lane topology; generating, by the processor, a map for controlling the vehicle based on the lane topology and the traffic conditions.

Abstract: A system and method for determining a roadway bank angle based on vehicle information. The method may include the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle.

Abstract: A vehicle crowd sensing system and method of selective sensing for the vehicle crowd sensing system. The method, in one implementation, involves receiving a plurality of detection reports from a first set of vehicles, each detection report including an event, a position qualifier of the event, and a severity qualifier of the event; developing an inherent error model for the event that includes a compilation of the position qualifiers of the event and the severity qualifiers of the event; and determining a resampling instruction for the event. The resampling instruction is based on an action model and the action model is at least partly a factor of the inherent error model.

Abstract: A system and method for locating a traffic light at a host vehicle. A probe vehicle obtains image data on an intersection that includes the traffic light when the probe vehicle is at the intersection and identifies the traffic light in the intersection from the data. A remote processor creates an observed node in a digital map corresponding to the traffic light and updates a mapped position of a mapped node within the digital map based on an observed position of the observed node. The host vehicle uses the mapped node of the digital map to locate the traffic light when the host vehicle is at the intersection.

Abstract: Systems and methods to perform traffic signal management for operation of autonomous vehicles involve obtaining vehicle data from two or more vehicles at an intersection with one or more traffic lights. The vehicle data includes vehicle location, vehicle speed, and image information or images. A method includes determining at least one of three types of information about the one or more traffic lights based on the vehicle data. The three types of information include a location of the one or more traffic lights, a signal phase and timing (SPaT) of the one or more traffic lights, and a lane correspondence of the one or more traffic lights. The method also includes providing the at least one of the three types of information about the one or more traffic lights for the operation of autonomous vehicles.

Abstract: A computer-implemented method at a service facility for capturing vehicle state and service information (VSSI) is provided. The method includes: detecting the arrival of a vehicle at the service facility; initiating, by a processor at the service facility, the establishment of a secure communication link with the vehicle via an in-vehicle wi-fi hotspot; wirelessly retrieving, by the processor at the service facility from the vehicle, a subset of VSSI via the wi-fi hotspot, wherein the retrieved VSSI includes the subset of the VSSI that has changed since the last update of the VSSI to a cloud-based server and wherein the subset of the VSSI includes some, but not all of the VSSI; and scheduling a vehicle service based on service indications derived from the VSSI.

Abstract: A service traffic distribution method based on a time window is provided. The method includes: generating a time window based on a reference rule; determining, according to an operation behavior performed by a user on a client in the generated time window, service traffic to be distributed; and distributing the determined service traffic.