Abstract: A system for motion planning for autonomous vehicles can include a plurality of sensors, a plurality of detectors in electrical communication with the plurality of sensors, and a motion planning module in electrical communication with the plurality of detectors and a computing system of an autonomous vehicle. The motion planning module stores a planning graph with each node representing, explicitly or implicitly, time and variables defining a state of the autonomous vehicle, an operating environment, or both the state of the autonomous vehicle and the operating environment. A reconfigurable processor can include a collision detection module and, optionally, a shortest path module. Pre-computed collision data and planning graph data reflecting logical/physical node mapping can be communicated to the processor during a programming phase and used during runtime.

Abstract: An animal farm system includes a barn, animal related structures within the barn, such as a feeding alley and/or a milking system, and an autonomous vehicle arranged to perform an animal related action and move about in the barn. The vehicle includes a control unit to move the vehicle about, a position determining system for determining a position of the vehicle in the barn, a sensor system to determine a value of a parameter related to a position of the vehicle with respect to the barn or an object therein, such as the at least one structure therein, and a vehicle communication device. The control unit further is arranged to contain barn map information, and receive motion control and navigation information via the vehicle communication device.

Abstract: An automated driving system and method of autonomously driving a vehicle. The system includes for a vehicle including at least one sensor device configured to detect the vehicle position and sense environment characteristics of the vehicle, an electronic control device configured to control autonomous driving of the vehicle based on an output of the sensor device, in which the controlling of autonomous driving includes an autonomous overtaking functionality for overtaking by changing the lane, and disable the autonomous overtaking functionality, in case at least one of a set of predetermined overtaking conditions is not satisfied.

Abstract: In a method for predicting a turbine outlet temperature at a future use of a gas turbine based on a past use thereof, the turbine outlet temperature (objective variable) at the future use is predicted by a turbine outlet temperature model by using a parameter (explanatory variable) in environmental and operational conditions planned for the future use and a rotating speed of a fan (explanatory variable) planned for the future use, and coefficients with respect to the explanatory variables are identified through a learning. In the learning, the coefficients are identified based on a regression learning of the explanatory variables and the objective variable of the turbine outlet temperature model made by using the parameter, the rotating speed of the fan and the turbine outlet temperature at the past use of the gas turbine.

Abstract: An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.

Abstract: A system and method for measuring volume dimensions of objects may include flying a UAV to measuring points around an object within a defined area. Images of the object may be captured by the UAV at each of the measuring points. The captured images may be communicated by the UAV to a computing device remotely positioned from the UAV. Volume dimensions of the object may be computed based on the captured images. The volume dimensions of the object may be presented. In presenting the volume dimensions, the volume dimensions may be presented to a user via an electronic display.

Abstract: Systems and methods for dictating motion for bi-directional vehicles is provided. The method includes obtaining passenger and map data. The passenger data identifies an orientation of a passenger and the map data identifies route attributes for one or more route segments. The method includes determining one or more motion constraints for a bi-directional vehicle and map constraints for a routing the bi-directional vehicle based on the passenger data and the map data. The motion constraints can identify a vehicle orientation with which the bi-directional vehicle can travel. The map constraints can identify one or more route segments restricted from travel by the bi-directional vehicle. The method includes generating a constrained route based on the motion and map constraint(s). The constrained route can include permitted route segments and movements for the bi-directional vehicle. The method can include initiating the motion of the bi-directional vehicle based on the constrained route.

Abstract: Systems and methods are provided herein for managing a transportation device fleet using teleoperation. Teleoperation may be beneficial for performing fleet management tasks such as rebalancing, relocation of devices to charging stations, and/or assisting devices operating autonomously that encounter obstacles and are unable to proceed autonomously.

Abstract: An aircraft door controller 100 including a receiver 110 configured to receive a command 14 to move an aircraft door between an open position and a closed position relative to a door frame. The aircraft door controller 100 is configured to not store the command 14 when power to move the aircraft door between the open position and the closed position relative to the door frame is unavailable.

Abstract: A method for operating an autonomously driving vehicle includes operating the vehicle in a first autonomous driving mode by means of a controller device based on sensor data captured by a sensor system of the vehicle, determining, from environmental data which includes at least the sensor data, presence of a handover condition at a handover location within a planned trajectory of the vehicle, establishing a data communication to a leading vehicle being operated in an autonomous driving mode to travel along a leading trajectory including the handover location, and operating the vehicle in a second autonomous driving mode based at least partially on first auxiliary data provided by the leading vehicle.

Abstract: A method is provided for transmitting data in a system for determining a location of at least one industrial truck comprising a mobile radio station and positioned in an area having a plurality of stationary radio stations. The method comprises transmitting a position-determining signal from the mobile radio station to the plurality of stationary radio stations. The position-determining signal is received and a position signal is transmitted from the plurality of stationary radio stations to the mobile radio station. Additional data is appended to at least one of the position-determining signal and the position signal and is evaluated. A current vehicle position is then determined from at least three received position signals.

Abstract: A driving assistance method for a motor vehicle (1) when approaching a speed bump comprises, according to the invention: detecting and tracking at least one other moving vehicle (41) in front of the motor vehicle (1) based on processing images captured by a camera (10) on board the motor vehicle (1); establishing a temporal profile of the estimated distance between the motor vehicle (1) and the at least one detected and followed other moving vehicle (41); detecting an anomaly area in the temporal profile; and estimating a distance dbump between the motor vehicle (1) and a speed bump (3) on the basis of the estimated distance between the motor vehicle (1) and the at least one other vehicle (41) at a time separate from the times corresponding to the detected anomaly area.

Abstract: A vehicle system comprising a plurality of subsystems, each of the plurality of subsystems configured to perform at least a portion of at least one of a plurality of functions. The plurality of functions are organized in a hierarchy of functions including complex higher order functions and simpler lower order functions. The vehicle system further comprises an advanced computing module configured to control the plurality of subsystems in order to perform a higher order function and a lower order function that supports the higher order function. The advanced computing module comprises software instructions including a first gate point. The first gate point may be activated to prevent the advanced computing module from performing the higher order function.

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: A navigator includes: a data transceiver configured to receive and transmit changed map data including a gateway list and difference data corresponding to information related to a boundary between divided regions; a DB manager configured to separately store and manage map data for each divided region and configured to update the map data for each divided region under the control of a controller; and a controller configured to control the update of the map data for each divided region based on the gateway list transmitted from the data transceiver.

Abstract: A content-driven and content delivery UAV system. The UAV system includes a content source to provided pressurized content to the UAVs via a content transmission media. The pressurized content is utilized to drive a mechanical propulsion and steering system to keep the UAV aloft and direct it to a particular location. The pressurized content received by the UAVs can be directed back to the content source, to another UAV and or discharged from the UAV to a desired target. Thus, the UAVs may include a nozzle or valve for discharging the content and thus delivering the content to a desire location.

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, 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: There is provided an audio information providing system that can solve the problem with the audio lag and includes navigation with higher accuracy. The audio information providing system is an audio guidance system including an audio output device that is worn in the ear of a user and an information processing terminal that is communicatively connected to the audio output device. The audio output device includes: an audio output unit configured to output audio to the ear of the user; and a detection unit configured to detect the direction of the head of the user.

Abstract: The present disclosure relates to a method of more accurately tracking a tracking-target vehicle entering or exiting a dangerous area in a blind spot using ultrasonic sensors disposed on the front and rear portions of a subject vehicle. According to the present disclosure, it is possible to distinguish the case in which a tracking-target vehicle in a blind spot passes a subject vehicle from the case in which the subject vehicle passes the tracking-target vehicle, and it is also possible to effectively determine, in each of the cases, the point of time at which the tracking-target vehicle enters a dangerous area in the blind spot and the point of time at which the tracking-target vehicle exits the dangerous area.