Abstract: A supervisory control system is disclosed that provides an operator situational awareness interface use with monitoring a plurality of automated vehicles (AVs). The system is configured to: generate a map of a geographical area of interest; obtain location data and perceived risk data for a plurality of AVs in the geographical area; generate a vehicle icon corresponding to each AV; position the vehicle icon for each AV on the map based on the location data for a corresponding AV; apply a color coding to each vehicle icon based on a perceived risk level for a corresponding AV; and signal a display device to display an AV fleet map graphic that includes the color coded vehicle icons positioned on the map. The controller may be further configured to: generate an AV servicing queue graphic that displays vehicle icons in an order based on a determined servicing priority.

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: 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: 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 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: Systems and method are provided for coordinating remote control of an autonomous vehicle by a remote transportation system. In one embodiment, a method includes: receiving, by a processor of the remote transportation system, request data requesting intervention of control of the autonomous vehicle; selecting, by the processor, an operator from a plurality of available operators; selectively assigning, by the processor, the selected operator to a task associated with the intervention based on at least one of a skill level of the selected operator, a workload of the selected operator, and an economic element of the ride associated with the selected operator; and coordinating, by the processor, control of the autonomous vehicle based on the assigned operator.

Abstract: Systems and method are provided for requesting remote control of an autonomous vehicle by a remote transportation system. In one embodiment, a method includes: receiving, by a processor of the autonomous vehicle, experience data associated with the autonomous vehicle, wherein the experience data includes a location of the autonomous vehicle, a time of day, a pose of the autonomous vehicle, detected freespace in an environment of the autonomous vehicle, detected congestion in the environment, a planned maneuver type, and an associated maneuver graph; determining, by the processor, one or more features of a planned maneuver based on the experience data; determining, by the processor, a risk value associated with the planned mission by processing the one or more features with a machine learning model; and selectively generating, by the processor, request data to the remote transportation system based on the risk value, wherein the request data includes the risk value.

Abstract: A method for providing a situational awareness interface for an occupant of an automated vehicle is provided. The method includes: generating a vehicle route graphic that displays a street level map of an area that includes a current location of the vehicle and an intended destination of the vehicle along with a visual depiction of a planned route and one or more alternate routes for the vehicle; determining a probability of requiring assistance or interaction and an estimated time of arrival for each of the planned route and the one or more alternate routes; providing a visual indication of the probability of requiring assistance or interaction and the estimated time of arrival for each of the planned route and the one or more alternate routes on the vehicle route graphic; and signaling a display device to display the vehicle route graphic.

Abstract: A supervisory control system is disclosed that provides an operator situational awareness interface use with monitoring a plurality of automated vehicles (AVs). The system is configured to: generate a map of a geographical area of interest; obtain location data and perceived risk data for a plurality of AVs in the geographical area; generate a vehicle icon corresponding to each AV; position the vehicle icon for each AV on the map based on the location data for a corresponding AV; apply a color coding to each vehicle icon based on a perceived risk level for a corresponding AV; and signal a display device to display an AV fleet map graphic that includes the color coded vehicle icons positioned on the map. The controller may be further configured to: generate an AV servicing queue graphic that displays vehicle icons in an order based on a determined servicing priority.

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 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 system for initiating and executing an automated lane change maneuver in a vehicle may include a steering wheel interface having a display; and a monitor to detect a viewing direction of the user. The interface may detect a first predetermined gesture by the user; in response to the first predetermined gesture, transmit a first signal to the vehicle instructing the vehicle to prepare for the automated lane change maneuver; display a status of the automated lane change maneuver; display a prompt for the user to visually confirm safety of the automated lane change maneuver. The monitor may continuously detect the viewing direction of the user; and in response to the viewing direction of the user changing, transmit a second signal to the vehicle instructing the vehicle to execute the automated lane change maneuver.

Abstract: A processor-implemented path planning method in a vehicle is disclosed. The method includes retrieving road surface information along a planned path for the vehicle; constructing, by the processor, a model of the road surface along the planned path; identifying, by the processor, a road irregularity in the road surface for the planned path; classifying, by the processor, the road irregularity; projecting the location of vehicle tire patches on the model of the road surface; predicting, by the processor, vehicle sprung-mass dynamics as a function of time for the vehicle along the planned path; calculating a plurality of alternative path trajectories within the constraints of the road boundaries for avoiding the road irregularity; choosing an alternative path trajectory out of the plurality of alternative path trajectories that reduces the sprung-mass dynamics for the vehicle to provide a more comfortable ride; and updating the planned path with the chosen alternative path trajectory.

Abstract: A system for initiating and executing an automated lane change maneuver in a vehicle may include a steering wheel interface having a display; and a monitor to detect a viewing direction of the user. The interface may detect a first predetermined gesture by the user; in response to the first predetermined gesture, transmit a first signal to the vehicle instructing the vehicle to prepare for the automated lane change maneuver; display a status of the automated lane change maneuver; display a prompt for the user to visually confirm safety of the automated lane change maneuver. The monitor may continuously detect the viewing direction of the user; and in response to the viewing direction of the user changing, transmit a second signal to the vehicle instructing the vehicle to execute the automated lane change maneuver.

Abstract: A processor-implemented path planning method in a vehicle is disclosed. The method includes retrieving road surface information along a planned path for the vehicle; constructing, by the processor, a model of the road surface along the planned path; identifying, by the processor, a road irregularity in the road surface for the planned path; classifying, by the processor, the road irregularity; projecting the location of vehicle tire patches on the model of the road surface; predicting, by the processor, vehicle sprung-mass dynamics as a function of time for the vehicle along the planned path; calculating a plurality of alternative path trajectories within the constraints of the road boundaries for avoiding the road irregularity; choosing an alternative path trajectory out of the plurality of alternative path trajectories that reduces the sprung-mass dynamics for the vehicle to provide a more comfortable ride; and updating the planned path with the chosen alternative path trajectory.

Abstract: Embodiments include methods, systems and computer readable storage medium for adjusting ride and/or performance dynamics of a passenger transport. The method receiving, by a processor, a transportation request. The method further includes assigning, by the processor, a passenger transport to fulfill the transportation request. The method further includes receiving, by the processor, at least one passenger profile, wherein the at least one passenger profile includes preferred ride and performance dynamics for a passenger. The method further includes adjusting, by the processor, one or more ride and performance dynamics for the passenger transport in response to the received at least one passenger profile. The method further includes transporting, by the passenger transport, one or more passengers associated with the transportation request to a destination.

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: Embodiments include methods, systems and computer readable storage medium for augmented rider identification and dynamic rerouting. The method includes presenting, by a processor, profile data associated with one or more potential passengers while a vehicle is en route to a passenger pickup location or at the passenger pickup location. The method further includes presenting, by the processor, image data obtained at the passenger pickup location. The method further includes comparing, by an occupant, the profile data and the obtained image data to confirm that the one or more potential passengers are at the passenger pickup location. The method further includes receiving, from the occupant, an entry input indicating that entry to the vehicle should or should not be allowed based on the comparison. The method further includes allowing or disallowing, by the processor, entry to the vehicle based on the received entry input.

Abstract: In one embodiment, a method comprises obtaining inputs pertaining to one or more conditions of route planned for a vehicle having autonomous operation capability; predicting, via a processor, a future level of engagement for an operator of the vehicle, using the inputs; and providing, for the operator, information pertaining to the future level of engagement.

Abstract: A windshield includes a windshield body and an ambient display coupled to the windshield body. The ambient display includes a light guide plate and a light source optically coupled to the light source. Aside from the light source, the ambient display includes a transparent phosphor film and an optic array. The transparent phosphor film includes at least one phosphor. The optic array includes a plurality of lenses and is disposed between the light guide plate and the transparent phosphor film. The light guide plate is positioned relative to the optic array such that light emitted from the light source is directed toward the optic array. The chromaticity and luminance of the light emitted by the transparent phosphor film can be adjusted based on the electrical current received by the light source.