Embodiments of the present disclosure relate to a method, device, apparatus and computer readable medium for avoiding entering no-entry areas. According to embodiments of the present disclosure, a first device transmits a request to a second device for querying type information regarding a set of areas. The set of areas are adjacent to an area which the first device currently locates. The second device transmits the type information to the first device. The first device determines whether to transmit its real-time position information based on the type information. In this way, it can reduce workload and save power.

Disclosed are methods, systems, and computer-readable medium for facilitating remote user airspace communication. For instance, the method may include: connecting with a user device associated with and remote from a first vehicle in a shared air traffic control sector; receiving voice communication data from at least one of the user device, a second vehicle in the shared air traffic control sector, and an air traffic control station in the shared air traffic control sector; generating analog data or digital data based on the received voice communication data; determining a recipient for the generated analog data or generated digital data in the shared air traffic control sector; transmitting the generated analog data or generated digital data to the recipient; and terminating the connection with the user device as the first vehicle leaves the shared air traffic control sector.

A flight management system for an aircraft, includes a critical first avionics module for trajectory calculation, i.e. a module the integrity level and availability level of which are specified by regulatory standards in force, delivering as output a safe trajectory, based on a flight plan; a second module for trajectory calculation that is less critical than the critical first module, i.e. a module the integrity level and availability level of which are lower than those of the first module, delivering as output an improved trajectory that is less safe than the trajectory delivered by the critical first avionics module, based on a flight plan; a critical avionics module for trajectory verification, configured to validate or invalidate the safety of the less safe improved trajectory; and a critical avionics module for decision-making configured to select a trajectory from the safe trajectory and the less safe trajectory.

A UAV control method, a device, a UAV, and a storage medium are provided. The method includes: obtaining a UAV's take-off position; obtaining a height map of an area around the take-off position; determining height information of a highest target in the area around the take-off position based on the height map; determining a relative height between the highest target and the take-off position based on the height information of the highest target; determining a restricted flight altitude of the UAV relative to the take-off position based on the relative height, and controlling the UAV based on the restricted flight altitude; where the restricted flight altitude is greater than or equal to the relative height. It thus can ensure flight safety while offering more reasonable and user-friendly flight flexibility and freedom.

Systems, devices, and methods for determining, by a processor, an unmanned aerial system position relative to at least one flight boundary; and effecting, by the processor, at least one flight limitation of a flight limiting device if the determined unmanned aerial system position crosses the at least one flight boundary.

A drone which is an unmanned moving object according to an embodiment includes a flight controller that controls the driving of the drone, a first communication unit that communicates with an operation device that remotely controls the drone, and a second communication unit that receives unique information sent out from another moving object for identifying presence and/or a position of the other moving object.

A flight management system for an aircraft, includes a critical first avionics module for trajectory calculation, i.e. a module the integrity level and availability level of which are specified by regulatory standards in force, delivering as output a safe trajectory, based on a flight plan; a second module for trajectory calculation that is less critical than the critical first module, i.e. a module the integrity level and availability level of which are lower than those of the first module, delivering as output an improved trajectory that is less safe than the trajectory delivered by the critical first avionics module, based on a flight plan; a critical avionics module for trajectory verification, configured to validate or invalidate the safety of the less safe improved trajectory; and a critical avionics module for decision-making configured to select a trajectory from the safe trajectory and the less safe trajectory.

Intelligent algorithms and systems (vehicles and/or mechanisms) locate and extract economic sound concentrations of e.g. any combinations of nodules, manganese crusts and/or sulphide deposit, and separate uneconomic matter from valuable minerals by applying differences in electric and/or acoustic properties to differentiate economically valuable minerals from cost bearing unprofitable other matters (e.g. mud, gravel, rocks, organic matter), thus providing added profitability compared to existing mining machines. Complex and multiple sophisticated technological fields, including, but not limited to Geophysics, Advanced sensor technology (acoustic and electric parameter detection), Signal processing (feature extraction and pattern recognition), Machine learning/AI (classification algorithms and adaptive systems), Mechanical engineering (precision collection mechanisms), Real-time control systems (feedback-based operation), Economic modeling (dynamic threshold determination) are combined. Both independent systems and add-on vehicles to existing mining machines have been developed. Environmental impacts are minimized by the nature of the invented technical solutions. MS and/or AI methods and algorithms can be incorporated.

The present disclosure relates to a method for operating an ego vehicle. Image data of an environment is detected and recorded during a trip using an environment detecting sensor system including multiple different sensors. Static no recording zones for which a recording ban exists are recognized using a digital map stored in the ego vehicle. It is determined whether a no recording zone lies in a detection range of at least one of the sensors. If so, the recording of sensor data of the respective sensor is interrupted and an approved field of view is determined in the map for each affected sensor. The field of view defines which data may be recorded at which location, and a dynamic no recording zone is formed as a moving object which is detected by at least one of the sensors based on external features.

A setting device for a sensor that measures a distance to an object by two- dimensionally scanning light at a first angular interval includes a distance map generation unit that generates a distance map with respect to the light that is scanned, based on a measured distance to the object and using a plurality of beams sampled at a second angular interval, a display control unit that updates the distance map displayed on a display unit in a predetermined display cycle, a reception unit that receives an instruction of a user, and a setting unit that sets at least one of the second angular interval and the predetermined display cycle in accordance with the instruction of the user received by the reception unit.