A remote control system includes a mobile terminal configured to control a construction machine in a first operating mode using one or more control elements of the mobile terminal and to control at least one imaging device in a second operating mode using the one or more control elements of the mobile terminal. The at least one imaging device is controllable by the one or more control elements of the mobile terminal to record an environment of the construction machine and/or a working tool of the construction machine. A position and/or alignment of the at least one imaging device is controllable via the one or more control elements of the mobile terminal.

An alternate landing planning method includes obtaining an alternate landing position configuration instruction to set an alternate landing position other than a primary landing position of an aerial vehicle and determining, according to the alternate landing position configuration instruction, a current parking position of the aerial vehicle as the alternate landing position.

A precision landing system is described for an unmanned aerial vehicle (UAV). The system may include one or more anchors configured for placement in proximity to a landing zone, a tag configured for securement to the UAV where the tag wirelessly communicates with at least three or more of the anchors. A controller may be configured to fly the UAV towards a centerline axis defined through a first airspace zone at a first altitude above the landing zone while descending towards the first altitude and then fly the UAV towards the centerline axis defined through a second airspace zone at a second altitude which is below the first altitude while descending towards the second altitude, and finally to fly the UAV towards the centerline axis defined through a third airspace zone at a third altitude which is below the second altitude while descending towards the landing zone.

A system is provided which can achieve reliability of a notification about a moving manner of a work machine for a worker regardless of the distance between the work machine and the worker. A sign image M is projected onto a peripheral region of the worker (for example, a ground surface which is present in the vicinity of the worker to the extent that the worker is capable of visually recognizing the sign image M) by an unmanned aircraft 60. The sign image M is an image which represents a moving manner of a work machine 40. Thus, regardless of the distance between the work machine 40 and the worker, reliability of a notification about the moving manner of the work machine 40 for the worker is achieved compared to a case where the sign image M is projected onto an irrelevant place to the position of the worker.

A portable ground control station, the portable ground control station including a graphical processing unit, general-purpose processor, a radiofrequency (RF) control channel device configured to control an unmanned arial vehicle (UAV), one or more display interface outputs communicatively connected to a plurality of displays, a first memory partition communicatively connected to at least a first core of the first plurality of cores and the second plurality of cores, the memory containing instructions configuring the at least a first core to generate a first operating environment on the at least a first core, select an RF control channel of the plurality of RF control channels, transmit, using a software module operating in the first operating environment, at least a flight command to the UAV using the selected RF control channel, receive transmission data from the UAV and output the transmission data on a display of the plurality of displays.

A method is provided for causing one or more robots to execute a mission. The method includes determining a behavior tree in which the mission is modeled, and causing the one or more robots to execute the mission using the behavior tree and a leaf node library. The behavior tree is expressed as a directed tree of nodes including a switch node, a trigger node representing a selected task, and action nodes representing others of the tasks. The switch node is connected to the trigger node and the action nodes in a parent-child relationship in which the trigger node and the action nodes are children of the switch node. The trigger node is a first of the children that, when ticked by the switch node, returns an identifier of one of the action nodes to trigger the switch node to next tick the one of the action nodes.

An anti-tampering trigger system design apparatus includes an equipment simulation device that generates driving simulation data by simulating data output by equipment that is mounted on an unmanned aerial vehicle, a virtual unmanned aerial vehicle simulation device that generates a function result value by simulating a function of the unmanned aerial vehicle based on the driving simulation data, and generates a mission result value by simulating mission performance of the unmanned aerial vehicle using the function of the simulated unmanned aerial vehicle, and a machine learning device that performs machine learning of an anti-tampering trigger using the driving simulation data, the function result value, and the mission result value.

A repellence system and method for repelling animals includes an imaging device arranged to generate image data from a railway track, one or more deterrence devices arranged to carry out deterrence actions for repelling animals and a repellence sub-system having one or more processors and memory storing instructions for execution by the one or more processors. The repellence sub-system being configured to receive image data of the railway track from the imaging device, detect an animal in the image data, identify animal species of the detected animal in the image data, provide species specific deterrence instructions to the one or more deterrence devices based on the identified animal species.

Disclosed is a navigation method and system using color codes. The navigation method according to an embodiment of the present disclosure includes: dividing an aircraft path at a vertiport into a plurality of sub-paths based on a branch point; and selectively combining at least some of the plurality of sub-paths and generating a guiding path for an urban air mobility (UAM) to travel at the vertiport based on a departure point and a destination point scheduled for the UAM.

An unmanned aerial vehicle inspection route generating apparatus and method are provided. The apparatus generates a plurality of inspection points corresponding to a target object to be inspected, and each of the inspection points corresponds to a spatial coordinate. The apparatus calculates a plurality of flight segments based on a three-dimensional model corresponding to the target object to be inspected and the spatial coordinates corresponding to the inspection points, and each of the flight segments corresponds to two of the inspection points. The apparatus calculates a risk value corresponding to each of the flight segments. The apparatus generates an inspection route corresponding to the target object to be inspected based on the risk values and the flight segments.