Abstract:
Systems for use with an autonomous vehicle. The systems in various embodiments include a non-transitory storage device comprising an autonomous-vehicle context module that, when executed by a hardware-based processing unit, determines that manual operation of the vehicle is recommended or required during autonomous operation of the vehicle. The storage device also includes an autonomous-vehicle driver module that, when executed, determines that a vehicle occupant is not ready to take manual control of the autonomous vehicle based on one or both of occupant-position data, indicating a position of the vehicle occupant, and occupant-gaze data, indicating a gaze of the vehicle occupant. The system may in response advise the user of the need to take proper position to assume manual control of the vehicle. The system may also adjust present autonomous driving, such as to slow the vehicle, or pull the vehicle over to park.
Abstract:
Systems for use with an autonomous vehicle. The systems in various embodiments include a non-transitory storage device comprising an autonomous-vehicle context module that, when executed by a hardware-based processing unit, determines that manual operation of the vehicle is recommended or required during autonomous operation of the vehicle. The storage device also includes an autonomous-vehicle driver module that, when executed, determines that a vehicle occupant is not ready to take manual control of the autonomous vehicle based on one or both of occupant-position data, indicating a position of the vehicle occupant, and occupant-gaze data, indicating a gaze of the vehicle occupant. The system may in response advise the user of the need to take proper position to assume manual control of the vehicle. The system may also adjust present autonomous driving, such as to slow the vehicle, or pull the vehicle over to park.
Abstract:
A computing system including a cooperative system architecture for cataloging, informing, sharing, and managing engineering assets within an organization includes a user management subsystem for creating a registered user profile associated with a specific user of the computing system. The registered user profile includes user metadata that provides identifying characteristics of the specific user. The computing system includes an asset management subsystem including an asset repository for recording one or more engineering assets. The asset management subsystem modifies the user metadata of the registered user profile in response to the specific user recording an engineering asset in the asset repository. The computing system includes a test management subsystem including a test repository for recording one or more test bill of materials.
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 transportation vehicle system, for providing feedback to a user-worn wearable device, including a hardware-based processing unit and a hardware-based computer-readable storage device. The device includes a vehicle-function identification module that, when executed by the processing unit determines that a trigger condition has occurred. The vehicle-function identification module also determines, for responding to the trigger condition, a wearable-communication function including transmitting a vehicle signal to the wearable device. An activation module causes the processing unit to initiate transmitting the vehicle signal to the wearable device. The technology also in various embodiments includes the vehicle storage device, the wearable device, a storage unit of the wearable device, and processes including any of the operations disclosed herein.
Abstract:
A situation awareness method can be used to provide information to a vehicle operator via first, second, and third substantially transparent ambient displays that are coupled to a windshield of a vehicle. The situation awareness method includes the following steps: (a) monitoring a physiological state of the vehicle operator; (b) monitoring a vehicle operating parameter of the vehicle; (c) monitoring a vehicle context data; (d) identifying a predetermined physiological condition based on the monitored physiological state of the vehicle operator; (e) identifying a predetermined vehicle operating condition based on the monitored vehicle operating parameter; (f) identifying a predetermined vehicle context condition based on the monitored vehicle context data; (g) adjusting a luminance of the first, second, and third substantially transparent ambient displays based on the identified predetermined physiological condition, the identified predetermined vehicle operating condition; and the identified predetermined vehicle context condition, respectively.
Abstract:
A situation awareness method can be used to provide information to a vehicle operator via first, second, and third substantially transparent ambient displays that are coupled to a windshield of a vehicle. The situation awareness method includes the following steps: (a) monitoring a physiological state of the vehicle operator; (b) monitoring a vehicle operating parameter of the vehicle; (c) monitoring a vehicle context data; (d) identifying a predetermined physiological condition based on the monitored physiological state of the vehicle operator; (e) identifying a predetermined vehicle operating condition based on the monitored vehicle operating parameter; (f) identifying a predetermined vehicle context condition based on the monitored vehicle context data; (g) adjusting a luminance of the first, second, and third substantially transparent ambient displays based on the identified predetermined physiological condition, the identified predetermined vehicle operating condition; and the identified predetermined vehicle context condition, respectively.
Abstract:
A method of and attachment system for securing and manipulating attractive objects upon an interior vehicular surface, utilizing at least one coded magnet to selectively attach/retain the objects, and provide various other functions, including aiding in alignment, orientation, and retrieval of the objects, and activating an associated sub-system.
Abstract:
A system for providing information to an occupant of a vehicle includes an automated driving system, a display configured to provide information to the occupant, and a controller in electrical communication with the automated driving system and the display. The controller is programmed to determine an automation confidence level for a location of interest using the automated driving system. The location of interest is a location in an environment surrounding the vehicle. The controller is further programmed to notify the occupant using the display based at least in part on the automation confidence level.
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.