Abstract: A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to determine if the vehicle is operating with at least one occupant inside the vehicle. If the vehicle is operating without at least one occupant inside the vehicle, the system may control the vehicle so as to disable and/or deactivate selected ones of driver-usage systems/components and passenger-usage systems/components.

Abstract: In an operational mode of a vehicle, a vehicle system can be influenced by a mix of autonomous control inputs and manual control inputs. A first weight can be assigned to manual control inputs, and a second weight can be assigned to autonomous control inputs. While the vehicle is being operated primarily by manual inputs from a human driver, it can be determined whether the human driver of the vehicle has made a driving error and whether a current driving environment of the vehicle is a low complexity driving environment. Responsive to determining that the human driver of the vehicle has made the driving error and to determining that the current driving environment of the vehicle is a low complexity driving environment, the second weight assigned to autonomous control inputs can be automatically increased. Autonomous control inputs can influence the vehicle system in an amount corresponding to the second weight.

Abstract: A device and method for a human machine interface (HMI) device to provide sensory augmentation in a vehicle environment are disclosed. The device and method include receiving, via a vehicle network, location data relating to a vehicle obstacle identified by a vehicle sensor. With the location data, the device and method include identifying a haptic device of a plurality of haptic devices correlating to the location data and to a directional reference, wherein the plurality of haptic devices distributed in a defined-relation along a wearable band device and operable to convey directional information. With the haptic device being identified, the device and method include generating a haptic signal, by the haptic device, to define a vector relating to the vehicle obstacle with respect to the directional reference.

Abstract: Described herein is a device for traffic light detection. The device comprises a memory and a traffic light detection module. The memory may store information, the information comprising first traffic light data of a first traffic light and second traffic light data of a second traffic light. The traffic light detection module may receive an image comprising a first candidate and a second candidate; determine a first region of interest based, at least in part, on the first traffic light data, the first region of interest comprising the first candidate; determine a second region of interest based, at least in part, on the second traffic light data, the second region of interest comprising the second candidate; and determine a confidence score for a first state of the first candidate, the confidence score based, at least in part, on a spatial relationship factor between the first candidate and the second candidate.

Abstract: A computing device for a vehicle proximity condition detection and haptic notification system is provided. The computing device includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to operate, upon detection of a vehicle proximity condition, at least one portion of the vehicle as a haptic device in a user-selected manner directed to informing a vehicle occupant of the vehicle proximity condition, and directed to suggesting to the occupant a vehicle control command that is responsive to the proximity condition.

Abstract: A foldable dual-layered wall structure is positionable in a stowed condition and in a deployed condition. The wall structure includes a first foldable layer having at least a first pair of panels and a first joint rotatably connecting the panels of the at least a first pair of panels. A second foldable layer is positioned adjacent to the first foldable layer. The second foldable layer includes at least a second pair of panels and a second joint rotatably connecting the panels of the at least a second pair of panels. The wall structure is structured such that the first joint is positioned directly opposite a panel of the at least a second pair of panels and the second joint is positioned directly opposite a panel of the at least a first pair of panels when the wall structure is in the deployed condition.

Abstract: An air-drag reduction mechanism for a vehicle is provided. The mechanism includes a shell structured to be deployable in a direction away from a vehicle, the shell including a plurality of telescoping shell segments. The shell segments are structured to form a shell having a shape which tapers or narrows in a direction away from the vehicle. The air-drag reduction mechanism may be incorporated into an air-drag reduction system including an actuation mechanism operatively coupled to the telescoping shell and operable to deploy the shell.

Abstract: A computing system for a vehicle includes one or more processors and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to determine if a virtual straight line connecting a predetermined location within a vehicle with a light source external to the vehicle passes through a window of the vehicle. If the straight line passes through a window, it is determined if the straight line will pass through any deployable vehicle shade if the shade is deployed. If the straight line will pass through a shade if the shade is deployed and the shade through which the straight line will pass is not already deployed, the vehicle may be operated so as to deploy the shade through which the straight line will pass if the shade is deployed.

Abstract: Systems and methods for calibrating sensors for an autonomous vehicle are disclosed. A calibration guide disposed on the vehicle can indicate to a user the correct location for a calibration object to be placed for a calibration procedure. In one implementation, a laser guide can project an image indicating the correct location and orientation for the calibration object. In another implementation, an extendible arm disposed on the vehicle can suspend the calibration object at the correct location and orientation. In another implementation, an autonomous robot carrying the calibration object can autonomously bring the calibration object to the correct location. The calibration guide can be unobtrusively stored within the vehicle when not in use.

Abstract: An automated driving system for an autonomous vehicle may include a perception system and a computing device for detecting and tracking a location of an object within an obstructed viewing region blocked from view of sensors associated with the perception system. The computing device and perception system may identify an obstructed viewing region and detect an external imaging assist device located within a sensor field of the perception system. The imaging assist device is capable of transmitting images of the obstructed viewing region to the perception system. The computing device analyzes the images received from the imaging assist device for purposes of detecting an object within the obstructed viewing region and tracking its location relative to the autonomous vehicle. The computing device may transmit a command to an autonomous vehicle system to implement an autonomous vehicle maneuver based at least in part on the tracked location of the hidden object.

Abstract: The processing of voice inputs includes receiving a voice input from a user. The received voice input can be analyzed to determine whether the voice input includes at least one of human-intended content or machine-intended content. Responsive to determining that the voice input includes human-intended content, a human recipient for the human-intended content can be identified within the voice input, and a message can be sent to the identified human recipient. The message can include the human-intended content in an audio form. Responsive to determining that the voice input includes machine-intended content, a machine recipient for the machine-intended content can be identified within the voice input, and a message including the machine-intended content can be sent to the identified machine recipient to implement the machine-intended content.

Abstract: A device and method for a human machine interface (HMI) device to provide sensory augmentation in a vehicle environment are disclosed. The device and method include receiving, via a vehicle network, location data relating to a vehicle obstacle identified by a vehicle sensor. With the location data, the device and method include identifying a haptic device of a plurality of haptic devices correlating to the location data and to a directional reference, wherein the plurality of haptic devices distributed in a defined-relation along a wearable band device and operable to convey directional information. With the haptic device being identified, the device and method include generating a haptic signal, by the haptic device, to define a vector relating to the vehicle obstacle with respect to the directional reference.

Abstract: A vehicular sensing system, a vehicle and a method of performing one or both of vehicular mapping and navigating operations using the sensing system. The sensing system is secured to a roof or other suitable location on the vehicle and includes one or more sensors configured to acquire at least one of vehicular mapping and navigational data, a retractable mounting structure to move the sensor or sensors between a deployed and stowed position, and an aerodynamic spoiler, air dam or deflector. The body of the spoiler acts as a housing with a recess formed in its upper surface such that upon placement of the spoiler on the roof, the recess provides a location within the spoiler to permit storage of the mounting structure and sensors when they are in their deployed (non data-acquisition) mode of operation. The size and placement of the mounting structure and sensors is such that they do not detract from the aerodynamic or aesthetic qualities of the spoiler.

Abstract: A method and device for effecting vehicle control is presented. The method includes receiving driving map data, which includes vehicle target data relative to a vehicle location data. The driving map data is processed to produce desired vehicle operational data, the desired vehicle operational data facilitates a vehicle to traverse a travel route. From the desired vehicle operational data vehicle, corresponding actuator control data is produced, and transmitted to effect vehicle control in either of the autonomous or driver-assisted modes.

Abstract: Arrangements directed to the wireless charging of a battery, particularly a battery for an electric or hybrid electric vehicle, are described. A wireless charging system can includes a charging station and a charge receiver. The charge receiver can be provided on a vehicle. The charging station can include a movable charge transmitter. The system includes a sensor that can detect a relative position of the charge receiver. The system can include a processor operatively connected to the charge transmitter. The processor can cause the position of the charge transmitter to be adjusted within the housing based on a relative location of a charge receiver such that the charge transmitter and charge receiver are in substantial charging alignment.

Abstract: Described herein is an autonomous vehicle comprising a sensor and a driver notification module in communication with the sensor. The driver notification module may be configured to receive first information related to an upcoming event; determine an action for an autonomous vehicle based, at least in part, on the first information; determine one or more characteristics of the action based, at least in part on the first information and a current status of the autonomous vehicle; determine a notification based, at least in part, on the action and the one or more characteristics; and deliver the notification within the autonomous vehicle.

Abstract: Described herein is a device for traffic light detection. The device comprises a memory and a traffic light detection module. The memory may store information, the information comprising first traffic light data of a first traffic light and second traffic light data of a second traffic light. The traffic light detection module may receive an image comprising a first candidate and a second candidate; determine a first region of interest based, at least in part, on the first traffic light data, the first region of interest comprising the first candidate; determine a second region of interest based, at least in part, on the second traffic light data, the second region of interest comprising the second candidate; and determine a confidence score for a first state of the first candidate, the confidence score based, at least in part, on a spatial relationship factor between the first candidate and the second candidate.

Abstract: A method of autonomous driving includes identifying, from detected information about an environment surrounding a vehicle on a roadway, a lateral surface profile of the roadway. Based on the lateral surface profile of the roadway, vertical wheel positions at identified candidate future lateral positions of the vehicle are determined. Based on the determined vertical wheel positions, as part of a driving path along the roadway, future lateral positions of the vehicle from among the identified candidates therefor are determined using an energy function that algorithmically favors low vertical wheel positions.

Abstract: A system for adjusting the position of one or more sensors of an autonomous vehicle includes a plurality of sensor arms, a plurality of sensor manipulators attached to each of the plurality of sensor arms. The system can be configured to receive output from the one or more sensors, and determine if an occlusion zone is detected. Based on the objects creating the occlusion zone, the sensors can be adjusted to decrease the size of the occlusion zone.

Abstract: Devices and methods in an autonomous parking controller for a vehicle are disclosed. When the vehicle is located at a parking location, the method determines whether the parking location includes a parking restriction. When the parking location includes the parking restriction, the example method compares the parking restriction with at least one restriction threshold. When the parking restriction compares unfavorably with the at least one restriction threshold, the example method, while at the parking location, monitors for a change in at least one of a plurality of ambient conditions relative to the vehicle. When the example method detects the change, the vehicle is autonomously relocated to another location to alleviate the active obstruction.