Drone Air Traffic Control

System and method for planning safe flight paths for unmanned aerial vehicles (UAVs) in outdoor environments with variable weather conditions. The system has modules for initial path planning, risk assessment, and path reconstruction. It constructs an initial flight path using a shortest path algorithm. Then checks if there are wind features in the area. If so, it determines if there are high-altitude lines nearby. If so, calculates the offset of the lines in the wind, gets the UAV's response, combines to find a safety margin, finds the line coordinates, combines again to get a risk area, and re-plans the path to avoid it. Additionally, it monitors drones during flight, detects deviations, reconstructs paths to avoid collision risks, and sends the new paths to the UAVs.

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Intelligent air traffic management system for drones in urban areas that enables safe and efficient operation of multiple drones without conflicts. The system divides urban airspace into designated routes with separation zones. It uses an optimization algorithm based on artificial bee colony optimization and artificial potential fields to resolve conflicts when drones intersect. This automated conflict resolution improves safety, reduces collisions, and enables higher density drone operations compared to manual methods.

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Intelligent management system for unmanned aerial vehicle (UAV) positioning based on 3D modeling. The system allows safe and efficient UAV operation in congested airspace by automatically managing airspace zones and monitoring equipment. It uses 3D modeling to visualize and analyze airspace usage, then optimizes UAV safety zones and recommends monitoring equipment placements. The system acquires UAV flight data, sets safety zones, and prioritizes monitoring equipment locations based on factors like UAV density and obstacle risks. It then calculates optimal monitoring equipment configurations for each zone. This automated UAV positioning and monitoring system aims to mitigate airspace conflicts and improve UAV safety.

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Drone management system that prevents collisions and crashes by restricting drone flight in areas with high population density and buildings. The system uses maps to designate flight-enabled areas and flight-restricted areas like residential and commercial zones. In restricted areas, drones are forced to follow pre-installed guide rails instead of free flight. This prevents drones from accidentally entering populated areas where collisions and crashes are more likely.

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Intelligent UAV traffic management using a network of smart sensors like streetlights to provide optimized flight paths for UAVs. The system collects navigation and UAV parameters, generates flight paths based on sensor network data, and transmits paths to UAVs. This reduces UAV size, weight, and power needs since they don't need onboard navigation. It also improves UAV performance during loss of communication events and traffic management.

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Air traffic control system for autonomous drones that enables safe and efficient coexistence of drones with manned aviation in crowded airspaces. The system provides real-time monitoring, collision avoidance, regulatory compliance, and emergency response for drones. It integrates with existing air traffic control systems to prevent conflicts and enforce safe separation between drones and manned aircraft. The system also enforces local regulations and allows emergency rerouting of drones. Its scalability adapts to the increasing number of drones.

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Real-time UAV airspace management platform to enable safe and efficient drone operations by providing real-time monitoring and notification of drone flight restrictions. The platform uses sensors and data processing to accurately detect drones' positions and distances from restricted areas like airports and temporary no-fly zones. It alerts drone operators in real-time if they are approaching prohibited areas, preventing violations. The platform also provides timely notifications of temporary flight restrictions to drone operators.

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Detect and avoid (DAA) methods for unmanned aerial vehicles (UAVs) that provide distributed conflict resolution using economic principles like demand-supply and auctions. The method involves UAVs sharing planned paths with a central traffic management system, and if a conflict is detected in a grid cell, that cell's value is updated. UAVs then revise their paths to avoid the higher-value cells. This iterative process continues until conflicts stabilize. Auctions can also be used when UAVs join/leave a conflict zone.

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UAV fleet management system for coordinated operation of multiple drones that allows faulty drones to be replaced by backup drones to maintain mission continuity. The system has a central management center with a UAV control system and a UAV dispatching system. The control system manages the drones' work while the dispatching system swaps faulty drones with backups to replace them. The systems communicate to detect drone faults and transfer work to backups.

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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.

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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.

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Method, system and equipment for operating and monitoring four-dimensional trajectories of multiple drones in shared airspace to enable safe and efficient drone operations. The method involves delineating drone tracks and protection spaces in designated airspace, adjusting tracks based on existing aircraft, storing plans, executing drone operations, and monitoring to update status and dynamic data. This provides a flexible, inclusive, and conflict-avoiding solution for multi-drone airspace management.

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Determining 3D network coverage for guiding UAVs in a flight area. It involves using stored and current network data to compute current 3D coverage, including handover probabilities and interference caused by the UAV.

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A tamper-resistant geo-fence system for drones uses secure firmware and flight plan authorization to ensure compliance with airspace and flight restrictions. The system integrates and updates airspace information securely with a drone's firmware. The firmware is stored in a tamper-resistant container and signed by an authority. The drone is only allowed to operate in authorized areas defined by the geo-fence. If the drone tries to leave the authorized area, it will be autonomously redirected back.

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Flight control system for unmanned aerial vehicles that enables safe passing of nearby aircraft. The system detects nearby aircraft and determines if passing is possible based on their trajectories and airspace conditions. If passing is possible, it controls the drone to perform a passing maneuver at a safe distance from the other aircraft.

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System for mid-air collision avoidance and traffic control between unmanned aerial platforms with different priority levels. The system involves CAS (collision avoidance system) units on each platform that intermittently transmit their locations. Higher-priority platforms can receive these transmissions and calculate collision risks. If the risk is high, the higher priority platform CAS unit generates and transmits steering commands to the lower priority platform to avoid a collision.

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Detecting connectivity anomalies in a flight area to ensure the safe operation of unmanned aerial vehicles (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.

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A system and method for managing unmanned aerial vehicle (UAV) data transmission in a smart city using the Internet of Things (IoT). The system involves a management platform that coordinates multiple UAVs performing different missions by assigning them to specific time domains and airspaces. This allows efficient data collection without interference. The platform also uses techniques like relay transmission, split transmission, and merging transmission to improve transmission efficiency based on the data requirements and features.

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4D path planning for unmanned vehicles like drones using point cloud data to define safe and efficient flight paths. The method involves creating flight corridors in a 3D airspace by using point cloud information. The corridors are verified and simulated to ensure they are collision-free. The resulting paths are displayed and stored for unmanned vehicle navigation.

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An automated system helps unmanned aerial vehicle (UAV) pilots plan and monitor flights to avoid airspace restrictions. The system uses a checklist of flight restriction conditions generated based on a planned flight area and time period. The system also monitors for changes to the restrictions and notifies the pilot before the flight if any restrictions have changed.

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