Abstract: A method of training a disparity estimation network. The method includes obtaining an eye-gaze dataset having first images with at least one gaze direction associated with each of the first images. A gaze prediction neural network is trained based on the eye-gaze dataset to develop a model trained to provide a gaze prediction for an external image. A depth database is obtained that includes second images having depth information associated with each of the second images. A disparity estimation neural network for object detection is trained based on an output from the gaze prediction neural network and an output from the depth database.

Abstract: Systems and methods are provided for vehicular computation management. The system includes, onboard a vehicle, electric control units (ECUs), a battery, a communication system, and a controller. The controller is configured to monitor energy consumption, operate the vehicle as a computational hub when the energy consumption is less than a threshold, including providing computational resources to an external node, determine whether the vehicle has excess energy and computational capacity when the energy consumption is equal to or greater than the threshold, including determining a usage of each of the ECUs and determining an energy consumption of tasks executing thereon, and operate the vehicle as a hybrid computational hub when the vehicle has excess energy and computational capacity, including providing excess computational capacity of the ECUs to the external node.

Abstract: A method of notifying an owner of a lost item in a vehicle having a vehicle compartment is provided. The method comprises providing at least one sensor to sense the lost item in the vehicle compartment. The method further comprises sensing the lost item on a point relative to a spherical coordinate system to define a sensed item data and determining a position of the lost item in cartesian coordinates based on the sensed item data to define a position data. The method further comprises translating the sensed item data and the position data for visualization of the lost item to define an item image of the lost item relative to the vehicle compartment, and updating an inventory list of lost objects to include the lost item with the item image. The method further comprises identifying the owner of the lost item by way of a perception algorithm, providing notification to the owner of the lost item, and providing viewable access of the item image such that the image is viewed by the owner of the lost item.

Abstract: A system of managing charging schedules in a fleet having electric vehicles includes a command unit. The command unit has a processor and tangible, non-transitory memory on which instructions are recorded. The command unit is adapted to define a plurality of discharge categories, including a transportation category, a transfer category and a reserve energy category. The respective battery power in the electric vehicles is proportioned by setting a respective percentage allocation for the plurality of discharge categories. The command unit is adapted to signal the electric vehicles to charge when at least one of the plurality of discharge categories falls below the respective percentage allocation. The command unit may be adapted to group the electric vehicles in respective virtual boxes based in part on their respective physical locations.

Abstract: A risk assessment system is provided and includes a transceiver, an output device, and activity, localization, tracking, and risk assessment modules. The activity module: receives signals from sensors or electrical devices of a supporting structure; and tracks activities in or within a set distance of the supporting structure to generate an activity history log. The localization module relates the activities to aspects of the supporting structure and generates corresponding localization data. The transceiver receives a notification key identifying a network device used by a user exposed to a contaminant. The tracking module, in response to the notification key, tracks contamination states of the aspects of the supporting structure contacted directly or indirectly by the user. The risk assessment module determines and reports an exposure risk level of an occupant of the supporting structure based on the contamination states, the localization data and the activity history log.

Abstract: A vehicle infotainment system that adds background sounds to an outgoing call on a mobile device. The infotainment system comprises: i) a database of selectable augmenting audio signals; and ii) audio processing circuitry configured to receive at a first input an uplink signal from the infotainment system and receive at a second input a selected augmenting audio signal. The audio processing circuitry adapts a spectrum of the first selected augmenting audio signal to prevent the selected augmenting audio signal from masking the uplink signal and combines the adapted selected augmenting audio signal and the uplink signal to produce an augmented uplink signal at an output.

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 comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: execute an autonomous vehicle algorithm simulating vehicle operations determine whether a notification that provides information on how a driver intervention for actuation by system feature functions has been at least one of previously presently or confirmed and cause the notification to be generated. The notification includes information for responding to a finite number of driving options determined by the driver intervention for actuation by system.

Abstract: A system for interfacing a motor vehicle with a person residing in the motor vehicle incudes a monitor that determines the mental state of the person, a module that receives information from the monitor to provide an addition channel to interface between the motor vehicle and the person, and a module that receives information from the monitor to adapt the motor vehicle according to the mental state of the person to enable the system to execute operations based on the mental state of the person.

Abstract: An augmented reality head-up display system for displaying graphics upon a windscreen of a vehicle includes a controller in electronic communication with one or more non-visual object detection sensors, one or more image-capturing devices, and a graphic projection device. The controller executes instructions to receive a plurality of detection points that indicate a presence of an object from the one or more non-visual object detection sensors. The controller executes instructions to compare the plurality of detection points with the image data of the environment surrounding the vehicle to identify a visually imperceptible object located in the environment. In response to identifying the visually imperceptible object, the controller determines a notification symbol that signifies the visually imperceptible object. The notification symbol is overlaid at a position upon the windscreen where the visually imperceptible object would normally be visible.

Abstract: An augmented reality head-up display system for displaying graphics upon a windscreen of a vehicle includes a controller in electronic communication with one or more non-visual object detection sensors, one or more image-capturing devices, and a graphic projection device. The controller executes instructions to receive a plurality of detection points that indicate a presence of an object from the one or more non-visual object detection sensors. The controller executes instructions to compare the plurality of detection points with the image data of the environment surrounding the vehicle to identify a visually imperceptible object located in the environment. In response to identifying the visually imperceptible object, the controller determines a notification symbol that signifies the visually imperceptible object. The notification symbol is overlaid at a position upon the windscreen where the visually imperceptible object would normally be visible.

Abstract: An autonomous driving system of a vehicle includes: an autonomous module configured to, during autonomous driving, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration and deceleration of the vehicle; and a driving control module configured to: enable and disable autonomous driving; determine a future time for beginning a period of autonomous driving; and at least one of: selectively delay the beginning of autonomous driving to after the future time; and cancel the period of autonomous driving.

Abstract: A method of monitoring a driver in an autonomous vehicle includes monitoring, with a driver monitoring system, a driver of a vehicle, collecting, with a data processor, data from the driver monitoring system related to gaze behavior of the driver, classifying, with the data processor, the driver as one of a plurality of driver statuses based on the data from the driver monitoring system, and sending, with the data processor, instructions to at least one vehicle system based on the classification of the driver.

Abstract: A method of retrieving a lost item from a compartment to an owner of the lost item is provided. The method comprises detecting the lost item in the compartment to define an item image of the lost item relative to the compartment, updating an inventory list of lost objects, and identifying at least one potential user of the lost item. The method further comprises providing notification to the at least one potential user and providing viewable access of the item image. The method further comprises verifying ownership of the lost item to define the owner of the lost item, determining a preferred pickup location for the owner, storing the lost item at the preferred location defining a stored item, and confirming identity of the owner for retrieval of the stored item at the preferred location. The method further comprises allowing access to the stored item from the preferred location.

Abstract: A method of notifying an owner of a lost item in a vehicle having a vehicle compartment is provided. The method comprises providing at least one sensor to sense the lost item in the vehicle compartment. The method further comprises sensing the lost item on a point relative to a spherical coordinate system to define a sensed item data and determining a position of the lost item in cartesian coordinates based on the sensed item data to define a position data. The method further comprises translating the sensed item data and the position data for visualization of the lost item to define an item image of the lost item relative to the vehicle compartment, and updating an inventory list of lost objects to include the lost item with the item image. The method further comprises identifying the owner of the lost item by way of a perception algorithm, providing notification to the owner of the lost item, and providing viewable access of the item image such that the image is viewed by the owner of the lost item.

Abstract: Systems and methods to augment audio output in an electric vehicle (EV) include obtaining inputs from one or more sensors. The inputs include information about the EV and about one or more persons outside the EV. A current scenario is defined based on the inputs. Whether the current scenario matches a predefined scenario among a set of predefined scenarios is determined, and augmented audio output is produced according to the predefined scenario.

Abstract: A method of monitoring a driver in an autonomous vehicle includes monitoring, with a driver monitoring system, a driver of a vehicle, collecting, with a data processor, data from the driver monitoring system related to gaze behavior of the driver, classifying, with the data processor, the driver as one of a plurality of driver statuses based on the data from the driver monitoring system, and sending, with the data processor, instructions to at least one vehicle system based on the classification of the driver.

Abstract: A system for selecting an optimized parking location for a vehicle includes a data processor, a plurality of sensors within the vehicle, and a user model based on historical data of parking events for the vehicle, the data processor is adapted to collect parking preferences for a driver of the vehicle, identify a destination of the vehicle, identify a current location of the vehicle, collect data from a plurality of sensors within the vehicle, collect data from external sources and create a list of potential parking spaces, access the user model, rank the potential parking spaces based on the parking preferences of the driver, the data from external sources and the user model, and provide an output based on parking preferences for the driver of the vehicle and the user model.

Abstract: A control system for a vehicle comprises a controller comprising a processor and a non-transitory computer-readable medium including instructions. The system comprises first, second, and third inputs configured to be manipulated by an operator. The system comprises first, second, and third displays adjacent the first, second, and third inputs, respectively. The first, second and third displays are configured to show first, second, and third indicia, respectively. Manipulation of the first input by the operator transmits a selection input signal to the controller. The controller receives the selection input signal. The processor compares the selection input signal to the instructions in the non-transitory computer-readable medium, transmits a selection output signal to the second and third displays, removes the second and third indicia from the second and third displays, and shows a first sub-selection indicium on the second display and a second sub-selection indicium on the third display.

Abstract: A system and method for error estimation in an eye gaze tracking system in a vehicle may include an operator monitoring system providing measured eye gaze information corresponding to an object outside the vehicle and an external object monitoring system providing theoretical eye gaze information and an error in the measured eye gaze information based upon the measured eye gaze information and the theoretical eye gaze information.