Abstract: A system and method are described for controlling a vehicle interior environmental condition. A biometric sensor senses a biometric condition of a vehicle seat occupant and generates a sensed biometric condition value. A controller receives the sensed biometric condition value, a sensed interior environmental condition value, and a sensed exterior environmental condition value. Each of multiple exterior environmental condition values has an associated biometric condition value defined as optimal for the vehicle occupant.

Abstract: A method of processing data for a driving automation system, the method comprising steps of: obtaining image data from a camera of an autonomous vehicle, AV; image processing the image data to obtain a vehicle registration mark, VRM, of another vehicle within the surrounding area of the AV; looking up the VRM in a vehicle information database to obtain information indicative of the make, the model and the date of manufacture of the other vehicle; looking up information indicative of the make, the model and the date of manufacture of the other vehicle in a vehicle dimensions database to obtain at least one dimension of the other vehicle; and updating a context of the autonomous vehicle based on said at least one dimension of the other vehicle.

Abstract: Techniques, devices, and systems are described for determining and adjusting a perspective angle of a drone sensor such as a camera. A described drone system can include an aerial drone; a ground station; an actuator to adjust the drone camera's field of view; and a controller. The controller can be configured to receive an event associated with one or more spatial coordinates or zones, determine the camera's current perspective angle, determine a target perspective angle based on the event such that the target perspective angle will cause the camera to capture imagery from the one or more spatial coordinates or zones, and cause the actuator to adjust the camera from the current perspective angle to the target perspective angle.

Abstract: A simulation environment is disclosed. A simulator generates a simulation model corresponding to a sequence of simulation cycles, each cycle including initial conditions, propagatable states, and a level of simulation fidelity. A fidelity optimizer monitors states and conditions through each cycle, changing the fidelity level for the next cycle based on predetermined factors (e.g., a new flight segment). The fidelity optimizer may dynamically increase or decrease the fidelity level for the next cycle (or for one or more nodes within a group) in response to, or in anticipation of, a state change. The fidelity optimizer may sample several corresponding simulation cycles of varying fidelity levels to compare the effects or results, and determine whether the result is dependent on the fidelity level.

Abstract: [Problem] To implement a variety of realistic staging under various venue environments. [Solution] An event staging system according to the present invention comprises a first device attached to a first moving body and a second device attached to a second moving body. The first device comprises a control means which generates a control command including operation control information for controlling the operation of the device, and a communication means which outputs radio waves of a predetermined intensity and wirelessly transmits the control command within a distance range reachable by the radio waves of the predetermined intensity. The second device includes a communication means which wirelessly receives the control command and an operation execution means which executes operation according to the operation control information included in the wirelessly received control command.

Abstract: An autonomous mobile device (AMD) moving in a physical space determines the presence of obstacles using images acquired by a stereocamera and avoids those obstacles. A floor with few visible features is difficult to characterize. The floor and any obstacles thereon may be difficult to characterize due to noise, perspective effect, and so forth. A score is determined that indicates whether a particular pixel in an image is deemed to be associated with a parallel surface (the floor) or a perpendicular surface (an obstacle). The score is computationally inexpensive to calculate and allows for highly accurate and low latency determinations as to the presence of an obstacle that would impede movement of the AMD. Orientation changes in the AMD, such as movement over a bumpy floor, are well tolerated as are floor features such as flooring transitions, ramps, and so forth which the AMD is able to traverse.

Abstract: An automatic parking system park autonomous driving vehicles in a target parking space in a parking lot by instructing the autonomous driving vehicle in the parking lot. The system includes: a failure type determination unit configured to determine a failure type from among a plurality of preset failure type candidates, when a vehicle-induced failure occurs in an automated vehicle under autonomous driving in accordance with the instruction, an evacuation space determination unit configured to determine an evacuation space based on the failure type determined by the failure type determination unit, the position information of the autonomous driving vehicle, and the parking lot map information, and a vehicle instruction unit configured to execute an evacuation instruction to evacuate the autonomous driving vehicle to the evacuation space.

Abstract: Systems and methods for multi-autonomous vehicle servicing and control are provided. A method can include receiving a service request for a vehicle service. The method can include determining a vehicle route from the start location to the end location. The method can include identifying a plurality of candidate vehicles from a plurality of autonomous vehicles. The method can include obtaining data indicative of one or more operational capabilities for each candidate vehicle in the plurality of autonomous vehicles. The method can include segmenting the vehicle route into one or more route segments based on the one or more operational capabilities associated with each autonomous vehicle in the plurality of autonomous vehicles. The method can include assigning at least two candidate vehicles to perform the vehicle service by assigning at least one of the one or more route segments to each of the at least two candidate vehicle.

Abstract: This application relates to a method for establishing a finalized route for transporting passengers throughout a region to an event, is described. The method includes determining a tentative route for transporting the passengers to the event, where determining the tentative route includes: determining event information for the event that is scheduled to occur in the region, where the event information includes at least one of (i) a time associated with the event or (ii) a location associated with the event. The method further includes determining the finalized route for transporting the passengers to the event by adjusting the tentative route, where adjusting the tentative route includes at least one of (i) determining a change in status of the tentative route or (ii) determining a geographical condition associated with the region. The method further includes publishing the finalized route.

Abstract: The present disclosure provides a robot relocalization method including: obtaining a level feature of an object in a laser map and calculating a first pose list; matching a laser subgraph point cloud collected by the robot with the first pose list to obtain a second pose list, if a distance between the level feature of the object and an initial position of a relocation of the robot is smaller than a threshold; splicing the laser subgraph point cloud into subgraphs, and performing a multi-target template matching to obtain a first matching candidate result; filtering the first matching candidate result based on the second pose list to obtain a second matching candidate result; determining a overlapping area of the second matching candidate result and the subgraph, and matching boundary points in the overlapping area with the laser subgraph point cloud to obtain the result of the relocation of the robot.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that adjust autonomous vehicle driving software using machine programming. An example apparatus for adjusting autonomous driving software of a vehicle includes an input analyzer to determine a software adjustment based on an obtained driving input and a priority determiner to determine a priority level of the software adjustment. The apparatus further includes a program adjuster to, when the priority level is above a threshold, identify a parameter of the autonomous driving software of the vehicle associated with the software adjustment and adjust the parameter based on the software adjustment, the adjustment to the parameter to change driving characteristics of the vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ground control point assignment and determination. One of the methods includes receiving information describing a flight plan for the UAV to implement, the flight plan identifying one or more waypoints associated with geographic locations assigned as ground control points. A first waypoint identified in the flight plan is traveled to, and an action to designate a surface at the associated geographic location is designated as a ground control point. Location information associated with the designated surface is stored. The stored location information is provided to an outside system for storage.

Abstract: The localization of a vehicle is determined using less expensive and computationally robust equipment compared to conventional methods. Localization is determined by estimating the position of a vehicle relative to a map of the environment, and the process thereof includes using a map of the surrounding environment of the vehicle, a model of the motion of the frame of reference of the vehicle (e.g., ego-motion), sensor data from the surrounding environment, and a process to match sensory data to the map. Localization also includes a process to estimate the position based on the sensor data, the motion of the frame of reference of the vehicle, and/or the map. Such methods and systems enable the use of less expensive components while achieving useful results for a variety of applications, such as autonomous vehicles.

Abstract: An approach is provided for argumentative navigation routing. The approach involves, for example, determining a recommended route and an alternative route. The approach also involves iteratively presenting one or more justification messages in support of the recommended route until a response is detected from a user that either rejects or accepts the one or more justification messages. The one or more justification messages are selected from among a plurality of argumentative reason classes. The approach further involves determining an accepted argumentative reason class from among the plurality of argumentative reason classes that corresponds to an accepted justification message of the one or more justification messages. The approach further involves prioritizing the accepted argumentative reason class to generate one or more subsequent justification messages in a subsequent argumentative routing interaction.

Abstract: The present invention relates to an obstacle avoiding method in a state-time space, a recording medium storing a program for employing the same, and a computer program stored in a medium for employing the same. More particularly, the present invention relates to an obstacle avoiding method in a state-time space, a recording medium storing a program for employing the same, and a computer program stored in a medium for employing the same, wherein a forward trajectory is calculated on the basis of a safe timed configuration region, when collision is expected while calculating the forward trajectory, a part of the calculated forward trajectory is canceled, and a forward trajectory passing through an interim target is calculated, and thus a time required for calculating is reduced and a trajectory and success rate to the destination target state is ensured so as to obtain improvement in performance.

Abstract: System, methods, and other embodiments described herein relate to improving the training of a driver during automated driving system mode. In one embodiment, a method includes generating, in association with a vehicle takeover and a maneuver by the driver, an automated motion plan associated with the maneuver. The method also includes determining if a difference parameter satisfies a threshold, wherein the difference parameter indicates a disparity between the maneuver by the driver in relation to the automated motion plan associated with the maneuver. The method also includes notifying, if the difference parameter does not satisfy the threshold, the driver that the vehicle takeover and the maneuver by the driver were unnecessary.

Abstract: A driving support device executes a limit control to control a vehicle in such a manner that an actual acceleration of when the vehicle is being reversed does not exceed a limit acceleration during a time period from a time point that a start condition becomes satisfied to a time point that an end condition becomes satisfied. The driving support device sets a state of itself to either one of a prohibiting state in which an execution of the limit control is prohibited or an allowing state in which the execution of the limit control is allowed. The driving support device sets the state of itself to the allowing state when a failure that the driving support device cannot detect/receive a request signal occurs.

Abstract: A gimbal rotation method includes controlling a driving assembly based on an angle command indicating a target angle to drive a gimbal to rotate to the target angle in a first time period having a pre-set length, determining whether a new angle command is received within the first time period, and, if not, estimating an estimated target angle based on gimbal rotation angles indicated by a plurality of previously-received angle commands and controlling the driving assembly to drive the gimbal to rotate from the target angle to the estimated target angle in a second time period having the pre-set length.

Abstract: Drones (e.g., unmanned aerial vehicles, or “UAVs”) equipped with cameras and sensors may be configured to travel throughout the field environment of a process plant to monitor process plant conditions. Onboard computing devices associated with the drones control the movement of the drones through the field environment of the process plant. The onboard computing devices interface with the cameras and other sensors and communicate with user interface devices, controllers, servers and/or databases via a network. The onboard computing devices may receive drone commands from user interface devices and/or servers, or may access drone commands stored in one or more databases. The onboard computing devices may transmit data captured by the cameras and/or other sensors to UI devices, controllers, servers, etc. Accordingly, the user interface devices may display data (including live video feeds) captured by the drone cameras and/or drone sensors to an operator in a human machine interface application.

Abstract: An occupant assist apparatus (12) has: a receiving device (121) for receiving an occupant information relating to an occupant of a vehicle; an estimating device (122) for estimating, on the basis of the occupant information, at least one of a desire of the occupant to urinate and a desire of the occupant to defecate in a future than a timing when the occupant information is received; and an executing device (123) for executing an occupant assist on the basis of a result of an estimation by the estimating device.