Abstract: A method and an apparatus are disclosed for providing navigation instructions. The method may include receiving, from a user apparatus, a first location and a destination location; calculating a first route from the first location to the destination location; generating, for a predetermined time period, a first set of maneuvering data corresponding to the first route, the first set of maneuvering data comprising playback cues based on a predicted user apparatus location; transmitting the first set of maneuvering data to the user apparatus; receiving, from the user apparatus, a second location; generating, for a subsequent predetermined time period, a second set of maneuvering data, the second set of maneuvering data comprising playback cues based on a further predicted user apparatus location; calculating an update set of maneuvering data based on the first and second set of maneuvering data; and transmitting the update set of maneuvering data to the user apparatus.

Abstract: A method for operating a track guidance system including at least one raised floor element includes planning at least one movement of at least one object on the at least one floor element, transmitting at least one control signal for carrying out the planned at least one movement to the object with the aid of an activatable marking on the at least one floor element, and carrying out the planned at least one movement of the at least one object with the aid of an activatable marking on the at least one floor element based upon the at least one control signal.

Abstract: This disclosure provides a cooperative path planning method and device for automatic control aerocraft and aerocraft system. The method includes: determining the current evaluation index of each selected point according to its current position, the target position of the aerocraft and the position of obstacles in the selected area; updating the adjustment displacement of each selected point according to its adjustment displacement, current position and historical optimal position, as well as the global optimal position; updating the current position of each selected point according to its current position and the updated adjustment displacement; after the current position is updated for a set number of times, selecting the position corresponding to the optimal evaluation index from the current positions and global optimal position of all selected points as the next waypoint of the aerocraft.

Abstract: Provided are a method, an apparatus, and a computer program for generating road network data for an autonomous driving vehicle. The method of generating road network data for an autonomous driving vehicle, which is performed by a computing device, the method includes generating one or more roads by grouping a plurality of unit lanes, generating connection information about the one or more roads, and generating road network data including road graphs generated by graphing the one or more roads and reflecting the connection information on the graphed one or more roads.

Abstract: A moving method for a self-moving device, and a self-moving device are provided. The method includes: driving the self-moving device to move in a first advancing direction; determining whether the self-moving device can continue to move in the first advancing direction; and controlling the self-moving device to perform a first escape preprocessing operation, if the self-moving device cannot continue to move in the first advancing direction. When the self-moving device is encountered with a raised sill on the ground, the solution provided in the present disclosure enables the self-moving device to effectively cross the raised sill.

Abstract: A method for autonomously navigating a subject vehicle from among a plurality of vehicles in an environment includes determining whether the subject vehicle is to be moved from a first post-production location to a second post-production location within the environment based on transportation scheduling data associated with the subject vehicle. The method includes executing a navigation routine in response to the transportation scheduling data indicating the subject vehicle is to be moved. The navigation routine includes obtaining location data associated with the plurality of vehicles, identifying a vehicle path for the subject vehicle based on the location data of the plurality of vehicles, the first post-production location, the second post-production location, or a combination thereof, and instructing the subject vehicle to autonomously travel along the vehicle path to the second post-production location.

Abstract: An unmanned aerial system includes a remote controller device and an unmanned aerial vehicle. A user input on the remote controller device indicates a flight command requested by a user. The remote controller device determines a current position and/or orientation of the remote controller device in response to the flight command from the user. The current position and/or orientation is sent to the vehicle. The vehicle responsively determines a desired orientation of the unmanned aerial vehicle as a function of the current position and/or orientation of the remote controller device and operates a lift mechanism to execute a flight operation based on the desired orientation of the unmanned aerial vehicle and the current position of the remote controller device.

Abstract: A method is disclosed for estimating a trajectory of an object on a map given a sequence of traces for the moving object. Each trace of the object including information defining a position measured at a given time for the object, as well as information as to an area of accuracy around the measured position. The method processes pairs of successive traces, corresponding to two positions successive in time in the sequence of measured positions for the moving object. For each trace of a pair of successive traces, the method defines road segments on the map within the area of accuracy of the trace. For each road segment within the area of accuracy of a first trace of a pair of traces and each road segment within the area of accuracy of the second trace of the pair, the method determines at least one candidate path between the two road segments. A neural network and a neural graph model are used to compute the most probable sequence of candidate paths to estimate the trajectory of the object on the map.

Abstract: A model prediction control part of a control device includes an obstacle avoidance control unit that operates when there are a plurality of actual obstacles to be avoided. The obstacle avoidance control unit decides the position of a virtual obstacle from the positions of the plurality of actual obstacles acquired by an acquisition part so as to be positioned between the plurality of actual obstacles, and performs model prediction control by using, as the stage cost, the addition result of a standard cost and a virtual obstacle evaluation term for which a prescribed function, which uses, as parameters, at least the position of the virtual obstacle and the position of a moving body, is multiplied by a virtual obstacle weight. Using this configuration, when the moving body is caused to follow with respect to a target trajectory by the model prediction control, a collision with an obstacle can be avoided suitably.

Abstract: Methods and apparatus are provided for allocating tasks to be performed by one or more autonomous vehicles to achieve a mission objective. Generally, a task allocation system identifies a final task associated with a given mission objective, identifies predecessor tasks necessary to complete the final task, generates one or more candidate tasks sequences to accomplish the mission objective, generates a task allocation tree based on the candidate task sequences, and searches the task allocation tree to find a task allocation plan that meets a predetermined selection criteria (e.g., lowest cost). Based on the task allocation plan, the task allocation system determines a task execution plan and generates control data for controlling one or more autonomous vehicles to complete the task execution plan.

Abstract: There is provided a cargo transport system including: a management device; and a plurality of automated guided vehicles. Each of the automated guided vehicles includes: a movement instruction receiving unit that receives, from the management device, a movement instruction for moving to at least one loading operation place where a loading operation of loading a cargo to be transported into the automated guided vehicle is performed or a specified position near the loading operation place; an information transmitting unit that transmits, to the management device, load information concerning a load state of the cargo loaded into the automated guided vehicle; and a traveling unit that performs automated traveling in accordance with the received movement instruction. The management device includes: a movement instruction management unit that transmits the movement instruction to each of the automated guided vehicles; a load information receiving unit; and a load amount management unit.

Abstract: There is provided a technique that can appropriately display route icons. A map display system includes a display section obtaining part that obtains display sections each being a section of a route to be displayed on a map; a connecting point obtaining part that obtains a connecting point, the connecting point being a point where different routes are connected together on the display sections; and a map display part that displays at least one route icon for each split section, the route icon being an image associated with a route, and the split section being obtained by splitting each of the display sections by the connecting point.

Abstract: A method for docking a robot at a charging station includes the following steps: the charging station outputs a first transmitting signal and a second transmitting signal, wherein an overlapping zone and two non-overlapping zones are formed within the signal transmission range of the first and second transmitting signals, and a blank zone forms within a predetermined distance. When the robot needs to move to the charging station, the robot detects its entry into the overlapping zone or one of the two non-overlapping zones, and the robot moves in the direction of the charging station by alternately moving in and out between the overlapping zone and one of the two non-overlapping zones until the robot moves to the blank zone, then the robot either moves directly towards the charging station, or rotates and then moves backwardly towards the charging station, thereby allowing the robot to dock at the charging station.

Abstract: A method for controlling an autonomous unmanned aerial vehicle for delivery of a medication package includes determining a thermal control period for the medication package. The method also includes identifying a delivery location corresponding to the medication package. The method also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between a starting location and the delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the delivery location. The method also includes determining whether to deliver the medication package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

Abstract: Embodiments provide for methods and portable positioning devices adapted to determine a geospatial position of a point of interest. In one embodiment, the portable positioning device comprises an antenna, a levelling detector, an imaging device, a display unit and a processing unit. The antenna may be adapted to receive satellite information signals. The levelling detector is arranged relative to the antenna for detecting whether the antenna is positioned horizontally. The imaging device has an optical axis and a sighting axis. In one embodiment, the sighting axis intersects an antenna axis. In another embodiment, the sighting axis is aligned with the antenna axis. The display unit may be provided for assisting in identifying the point of interest within a field of view of the imaging device and for assisting in identifying whether the antenna is horizontally levelled and whether a phase center and the point of interest are vertically aligned.