Solutions for Global Drone Regulatory Compliant

(Summary) Centralized management of a plurality of unmanned aerial vehicles (UAVs) of different types for preventing complications of processing related to information acquisition from each UAV, even in a case where flight management of a plurality of types of UAVs different from each other is performed. The technique involves using an information communication device attached to the UAVs that acquires flight status information and transmits it wirelessly in a predetermined data format. A centralized management device receives and monitors the UAVs using the flight status information transmitted from the information communication device. This standardized format allows uniform acquisition of flight status from different UAV types.

(Summary) An air traffic control system for managing unmanned aerial vehicles (UAVs) uses existing wireless networks like cell networks to enable safe drone delivery operations. The system monitors and controls UAV flights and provides navigation assistance, collision avoidance, switchover between networks, and airspace coordination. The system uses wireless networks to communicate with UAVs and leverages network coverage, bandwidth, and redundancy for air traffic management.

(Summary) Wirelessly detecting, identifying, locating, and neutralizing unauthorized unmanned aerial vehicles (UAVs) within a predetermined area. It uses a distributed network of radio nodes that passively fingerprint the UAV's RF signals to identify it. By detecting the signals at multiple nodes, they can triangulate the UAV's location. The network can then generate and transmit control signals on the same frequency to take over control of the UAV.

(Summary) Manage and restrict drone operations and equipment to prevent unauthorized use and avoid bad actors gaining access to restricted capabilities. It involves an off-board computer that checks user licenses and selectively provides equipment control software to the drone based on the license. If a license authorizes certain equipment, it will transmit the proper software to operate it. This ensures the drone cannot operate unauthorized equipment.

(Summary) Aerial unmanned vehicle privacy breach defense infrastructure that can detect drones within a threshold distance of an individual, alert them, track the drones, and execute countermeasures. The system includes a mobile app with detection, alert, tracking, and countermeasure modules. It uses sensors like microphones, cameras, radar, or radio frequency detectors to identify nearby drones. Countermeasures can involve disabling drones with electromagnetic signals or lasers or deploying other drones for interception.

(Summary) Controlling aerial vehicle communication to optimize data transfer and reliability between aerial vehicles. The control involves dynamically setting the operating mode of each aerial vehicle based on flight plan and network quality information. The operating modes are: 1) sending data between vehicles through the communication network and 2) sending data directly between vehicles without using the network.

(Summary) Efficiently intercepting unmanned aerial vehicles (UAVs) that enter restricted airspace without the expense and complexity of fighter jets or high-powered countermeasures like nets, lasers, or jammers. The interception method involves launching a cloud of small objects into the projected path of the target UAV to disable it. The objects ensnare propellers or block airflow to disrupt lift and cause an automatic landing. Probability analysis of the UAV's projected path determines when and where to launch the intercepting objects.

(Summary) System and methods for managing unauthorized airborne drones communicating with cellular networks. The system detects unauthorized drone operations and restricts its network access, preventing wasted resources. The network node can also send a message indicating the connection will be released, with conditions for reconnection, or perform a forced detach procedure.

(Summary) Detecting connectivity anomalies in a flight area to ensure the safe operation of <a href="https://xray.greyb.com/drones/highly-durable-drones">unmanned aerial vehicles</a> (UAVs) in beyond-line-of-sight applications. The method involves acquiring actual connectivity measurements at various locations within the flight area, comparing them against predicted connectivity data, and identifying deviations as anomalies. These anomalies are reported to aviation control centers so that UAV guidance can be adjusted.

(Summary) Geofence management for unmanned aerial vehicles (UAVs) to enhance safety and regulation. The system uses sensor data from in-flight UAVs to detect objects and create geofences around them. This allows UAVs to detect and avoid objects not visible to their own sensors. The geofence management uses data from multiple UAVs to improve accuracy and reliability. It can create geofences around objects detected by one UAV that other UAVs can then avoid.