A control method implemented by a communication device. The control method includes: acquiring a current location and current capacities of a drone; selecting a destination point that can be reached by the drone according to the location and capacities thereof, the destination point being located in the coverage area of a point of access to a mobile communication network; and providing the drone with instructions specifying the destination point towards which the drone is to travel and communication operations to be carried out in connection with the mobile communication network. Once the instructions are obtained, the drone moves towards the destination point and performs the communication operation as soon as it reaches the destination point or as soon as the connection quality reaches a satisfying level.

Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner.

Systems, apparatuses and methods may provide for technology that generates a sequence of predictive maps based on a sequence of historical maps and overlays the sequence of predictive maps on one another to obtain a map overlay. The technology may also apply an attenuation factor to the map overlay. In one example, the map overlay includes a grid of cells and each cell includes an occupation probability in accordance with the attenuation factor.

Systems, apparatuses and methods may provide for technology that generates a sequence of predictive maps based on a sequence of historical maps and overlays the sequence of predictive maps on one another to obtain a map overlay. The technology may also apply an attenuation factor to the map overlay. In one example, the map overlay includes a grid of cells and each cell includes an occupation probability in accordance with the attenuation factor.

The present technology relates to an information processing apparatus, an information processing method, and a program capable of making a path plan avoiding a crowd.

A cost map indicating a risk of passing through a region is generated using crowd information. The present technology can be applied to unmanned aerial vehicle (UAV) traffic management (UTM) and the like that control a UAV, for example.

Provided is a navigation system for operating a navigation system, which navigation system includes a first sub navigation system placed at an aeroplane and a second stationary sub system, which first sub navigation system includes a plurality of radio receivers, which radio receivers are configured to receive signal from a plurality of navigation satellites, which navigation system includes at least one processor, which processor is configured to perform calculation of the actual position data, which navigation system includes a radio transmitter, which radio transmitter is configured to transmit position data to communication satellites. The communication satellites can include radio transmitters for transmitting position data to a ground based receiver, which second sub system includes at least one server. Hereby can position data in that way the position of that aeroplane will be calculated and the actual position data and actual time will be stored in the server.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

The present disclosure is directed to systems and methods for trajectory and route planning including obstacle detection and avoidance for an aerial vehicle. For example, an aerial vehicle's flight control system may include a trajectory planner that may use short segments calculated using an iterative Dubins path to find a first path between a start point and an end point that does not avoid obstacles. Then the trajectory planner may use a rapidly exploring random tree algorithm that uses points along the first path as seed points to find a trajectory or route between the start point and end point that avoids known or detected obstacles.

Systems and methods for updating an electronic map of a facility are disclosed. The electronic map includes a set of map nodes. Each map node has a stored image data associated with a position within the facility. The method includes collecting image data at a current position of a self-driving material-transport vehicle; searching the electronic map for at least one of a map node associated with the current position and one or more neighboring map nodes within a neighbor threshold to the current position; comparing the collected image data with the stored image data of the at least one of the map node and the one or more neighboring map nodes to determine a dissimilarity level. The electronic map may be updated based at least on the collected image data and the dissimilarity level. The image data represents one or more features observable from the current position.