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: 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: System and method of controlling power distribution from a charging source to an electric vehicle having a battery. The system includes a plurality of switches selectively connectable between the charging source, the battery and a thermal circuit. A controller is configured to control operation of the plurality of switches to provide multiple settings for the electric vehicle. The controller is configured to select from the multiple settings based on part on a trigger signal from a mobile application. The multiple settings include an external power mode, a charging mode, a discharging mode and a mixed charging and conditioning mode. The mixed charging and conditioning mode allows charging of the battery concurrently with thermal conditioning of at least one of the battery and a cabin of the vehicle. The mixed charging and conditioning mode enables a power split between a thermal conditioning power (PT) and a charging power (PC).

Abstract: A method and associated system for selecting a charging station for a subject vehicle is described, and includes determining a state of charge of an on-vehicle DC power source arranged to supply electric power to a propulsion system for the subject vehicle. A travel route to a destination point is determined, and locations of a plurality of charging stations proximal to the travel route are identified. Desired states and corresponding weighting factors for a plurality of user-selectable parameters are determined, and a sorting routine is executed to rank the plurality of charging stations proximal to the travel route based upon the desired states and corresponding weighting factors for the plurality of user-selectable parameters and the state of charge of the on-vehicle DC power source. One of the charging stations is selected based upon the ranking, and a charging reservation is scheduled.

Abstract: A vehicle including an advanced driver-assistance system (ADAS) and operator-adjustable devices is described. Controlling the vehicle includes identifying a vehicle operator, and capturing a plurality of operator-selectable settings associated with the plurality of operator-adjustable devices for the vehicle operator. A base profile and a second profile are determined for the vehicle operator based upon the first subset associated with non-autonomous operation of the vehicle and the second subset associated with ADAS, respectively. The plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the base profile when the vehicle is operating in the non-autonomous mode, and the plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the second profile when the vehicle is being controlled at least in part by one or more of the subsystems of the ADAS.

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 host vehicle includes an internal combustion engine, a turbocharger in fluid communication with the internal combustion engine, a communication system configured to transmit and receive a traffic-related message, and a controller in communication with the turbocharger and the communication system. The controller is programmed to: receive the traffic-related message via the communication system; and command the internal combustion engine to increase a power output to spool up the turbocharger in response to receiving the traffic-related message. The controller is programmed to determine a number of relevant vehicles. The number of relevant vehicles is a number of vehicles that are in front of the host vehicle and behind a traffic light and affect a movement of the host vehicle toward the traffic light. The traffic-related message is a one of a vehicle message from another vehicle and/or a traffic-light message from the traffic light.

Abstract: A method and associated system for selecting a charging station for a subject vehicle is described, and includes determining a state of charge of an on-vehicle DC power source arranged to supply electric power to a propulsion system for the subject vehicle. A travel route to a destination point is determined, and locations of a plurality of charging stations proximal to the travel route are identified. Desired states and corresponding weighting factors for a plurality of user-selectable parameters are determined, and a sorting routine is executed to rank the plurality of charging stations proximal to the travel route based upon the desired states and corresponding weighting factors for the plurality of user-selectable parameters and the state of charge of the on-vehicle DC power source. One of the charging stations is selected based upon the ranking, and a charging reservation is scheduled.

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: A method of using a control system to estimate range of an electrified vehicle operated by a driver includes monitoring a first set of driver behaviors while the vehicle is in operation and comparing the monitored first set of driver behaviors to a plurality of known profiles having respective stored behaviors. The method may include matching the first set of driver behaviors to at least one of the known profiles to create an adapted driver model, modeling an adapted drive cycle profile based on the matched adapted driver model, and calculating a predicted driving range based on the adapted drive cycle profile. The method may classify the monitored first set of driver behaviors as at least one of conservative, neutral, and aggressive, relative to the plurality of known profiles, and model the adapted drive cycle profile is further based on the conservative, neutral, or aggressive classification.

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: 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.

Abstract: The present application generally relates to antennas embedded in or on glass structures. More specifically, the application teaches a wideband conformal antenna employing thin film constructions facilitating attachment to external automotive surfaces with capacitive feedback and integrated lighting to enable a conformal activation switch.

Abstract: A method of assessing a gaze of an occupant is provided. The method includes: determining a direction of a gaze of an occupant based on gaze information detected by a first sensor; determining a position of a feature of road based on one or more from among mapping information or vehicle environment information provided by a second sensor; comparing the direction of the gaze to the position of the feature of the road; and performing a corrective action in response to determining that the direction of the gaze does not correspond to the position of the feature of the road.

Abstract: System and method of controlling power distribution from a charging source to an electric vehicle having a battery. The system includes a plurality of switches selectively connectable between the charging source, the battery and a thermal circuit. A controller is configured to control operation of the plurality of switches to provide multiple settings for the electric vehicle. The controller is configured to select from the multiple settings based on part on a trigger signal from a mobile application. The multiple settings include an external power mode, a charging mode, a discharging mode and a mixed charging and conditioning mode. The mixed charging and conditioning mode allows charging of the battery concurrently with thermal conditioning of at least one of the battery and a cabin of the vehicle. The mixed charging and conditioning mode enables a power split between a thermal conditioning power (PT) and a charging power (PC).

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 full-service electric vehicle charging station and method of operating the station can provide for efficient and secure vehicle access and movement. The full-service charging station can include a parking area with a charging area; an electric vehicle charger at the charging area; and a full-service charging station server. The full-service charging station server is configured to receive vehicle identification information and a charging confirmation profile from the electric vehicle. The vehicle identification information or the charging confirmation profile includes location information relating to the electric vehicle. Additionally, the full-service charging station server is further configured to disseminate a command profile directly, indirectly, or a combination thereof, to the electric vehicle. The command profile includes a security-based command, a driving command, or both a security-based command and a driving command.

Abstract: A vehicle including an advanced driver-assistance system (ADAS) and operator-adjustable devices is described. Controlling the vehicle includes identifying a vehicle operator, and capturing a plurality of operator-selectable settings associated with the plurality of operator-adjustable devices for the vehicle operator. A base profile and a second profile are determined for the vehicle operator based upon the first subset associated with non-autonomous operation of the vehicle and the second subset associated with ADAS, respectively. The plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the base profile when the vehicle is operating in the non-autonomous mode, and the plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the second profile when the vehicle is being controlled at least in part by one or more of the subsystems of the ADAS.