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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

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.

Source

A system for monitoring, controlling, and disposing of unmanned aerial vehicles (UAVs) to enable safe and regulated operation. The system uses virtual spatial servers to continuously predict risks based on UAV flight plans. It monitors real-time UAV positions and compares them to flight plans and virtual spaces to detect abnormalities. If an abnormal UAV is found, it creates an incident group, issues alerts, and initiates handling processes. The system also checks historical UAV data for conflicts and restricts access to hazardous areas.

Source

Unmanned aerial vehicle (UAV) management system that allows safe and regulated drone flight. The system uses a smart card inserted into the UAV that contains flight parameters, restrictions, and identification. The UAV communicates with a control terminal and a management platform over wireless networks. When the UAV takes off, the platform tracks flight duration and charges fees if restricted areas are violated. If the UAV strays, the platform cuts network access. The smart card ensures compliance and enables remote control and monitoring of UAVs.

Source

Intelligent scheduling of unmanned aerial vehicles (UAVs) to optimize task allocation and control. The method involves dynamically determining flight tasks based on real-time UAV states and environmental conditions. It analyzes flight data from multiple UAVs to evaluate their flight status. It also collects environmental data where UAVs are located. Using this data, it intelligently assigns tasks considering mission requirements, UAV capabilities, and environmental factors. This enables efficient, adaptive tasking for UAV fleets that can change tasks mid-flight based on conditions.

Source

Broadcasting flight information from UAVs to manned aircraft using network infrastructure to enable coexistence. The technique involves UAVs sending broadcast Remote ID (BRID) messages with basic identification to nearby devices. These devices use the ID to request full UAV information from network entities like cellular base stations or USS providers. The network then broadcasts the UAV info to surrounding aircraft like ADS-B.

Source

Air traffic control system for drones that leverages existing wireless networks like cellular networks for communication between the drones and the air traffic control system. The system manages drone flights, provides navigation assistance, monitoring, traffic management, obstacle avoidance, landing services, and control. It dynamically assigns flying lanes for drones to prevent collisions, congestion, etc. The system uses wireless networks to remotely monitor and control drones in real-time. It also leverages the networks for switchover between primary and backup connections during outages.

Source

Air traffic control system for unmanned aerial vehicles (UAVs) that uses existing wireless networks like cellular networks for control and communication. The system manages UAV flights, provides separation assurance, navigation assistance, traffic monitoring, real-time control, etc. The UAVs are equipped with wireless hardware to communicate over multiple networks for redundancy. The ATC system uses the cellular networks to communicate with the UAVs and control their flights.

Source

Supervising and scheduling unmanned aerial vehicles (UAVs) in low-altitude airspace to improve safety when some UAVs don't report their flight plans. The method involves detecting UAVs in the airspace, determining if they're registered or unregistered, and if unregistered, generating their flight trajectory from image transmissions. It then compares the unregistered trajectory with the registered ones to find conflicts. If conflicts are found, it dispatches warnings to the UAVs.

Source

Intelligent drone management and control system for safe and efficient operation of drones in shared airspace. The system has modules for planning and defining airspace boundaries, monitoring drone flights, processing flight data, transmitting information, and displaying drone locations in real-time. It provides dynamic and real-time management and control of drone flights in shared airspace, detects unregistered drones, calculates safe flight areas, and assists in reducing safety accidents.

Source

A system for managing unmanned aerial vehicles (UAVs) to enable safe and regulated flight operations. The system uses a server, control platform, landing platform, and UAVs connected via wireless networks. The server receives flight requests from users, plans routes, and assigns landing slots. UAVs communicate with the server and platform to coordinate flights, landings, and battery swaps. The landing platform has multiple charging stations for UAVs to dock and swap depleted batteries with charged ones. This allows extended flight durations without ground transfers. The system also provides real-time monitoring, tracking, and collision avoidance.

Source

A system to manage unmanned aerial vehicle (UAV) flight routes and navigation. The system allows ground control to plan and monitor UAV flights by transmitting route parameters, areas, and waypoints to the UAV. The UAV collects external data during flight and feeds it back to the ground for processing. This enables real-time monitoring and management of UAV flight paths.

Source

Air traffic control system for drones that uses satellite networks for communication and control. The system allows drones to fly using satellite links instead of traditional air traffic control towers. It enables broad coverage, low latency, and low cost. The drones communicate with satellites during flight, and an air traffic control center manages the drones using the satellite network. The system provides functions like separation assurance, weather reporting, navigation assistance, traffic management, landing services, real-time control, etc. It also allows drone coverage constraints based on satellite and cellular availability.

Source

Ensuring safe drone flights over public roads or other restricted/sensitive locations by making drones aware of nearby vehicles and people and avoiding collisions. The drone broadcasts its position, trajectory, and mobility dynamics to nearby vehicles and devices using V2X safety messages. It also uses signals from vehicles and devices to detect proximity to roads and people. If vehicles or people are present, the drone changes course to avoid the road. It also takes pictures or videos of the road to prove it didn't cross when vehicles were present. This evidence is stored in a distributed directory.

Source

Collision avoidance system for multiple drones that alerts operators when drones are in proximity to each other to prevent mid-air collisions. The system has a central collision warning device that receives flight information from each drone's operator. It generates virtual zones around the drones based on their positions. It checks if these zones intersect with each other or with known obstacle zones. If so, it generates an alarm to alert the drone operators of potential collisions. This provides collision avoidance without needing cameras or expensive sensor systems on each drone.

Source

Collaborative control system for multiple drones to optimize utilization of multiple drones for inspection tasks by coordinating flight paths to avoid collisions and overlap. The system uses real-time obstacle avoidance and shared mapping to enable multiple drones to simultaneously inspect areas without collision. The system involves a central control unit, data storage, autonomous obstacle avoidance, analysis, and signal transceiver modules. Drones send position data to the control unit which analyzes and generates optimal flight paths. Drones follow these paths while avoiding obstacles. The system constructs a shared map of obstacle locations and flight corridors. Drones share this map to coordinate paths.

Source

An integrated control and management system for unmanned aerial vehicles (UAVs) that enables comprehensive monitoring and management of drone flights to ensure safety and compliance. The system involves linking data acquisition, transmission, and analysis modules. The UAV and data acquisition module are linked for real-time flight data collection. The transmission module sends this data to authorities. The analysis module processes the data for regulation enforcement. This allows tracking and managing UAVs in restricted areas, improving flight efficiency, and enhancing safety by integrating ground control with real-time flight monitoring.

Source

Managing drones in standby mode by assigning them three-dimensional zones to wait in before flights. The drones request standby mode, and the system selects unoccupied zones at the drone's location. This prevents collisions by spreading out drones in standby. The system sends coordinates for the assigned zone to the drone.

Source

Automated air traffic control system for dense urban airspace that enables scalable and efficient air traffic management in congested areas. The system assigns aircraft to spatiotemporal regions defined by departure and arrival sites and times. Aircraft are instructed to stay within these moving perimeters as they fly between points. Deviations are detected and corrective actions transmitted to bring the aircraft back on track. This automated spatiotemporal region approach allows automated air traffic control in dense urban areas by providing guidance and constraints for aircraft movements instead of relying solely on human controllers.

Source

System for safe and controlled operation of drones at low altitudes in populated areas by proactively intervening to prevent drones from leaving approved flight zones. The system uses a central database platform that defines allowed flight areas based on factors like airspace structure, legislation, obstacles, and planned flights. Drones are equipped with connectivity and location capabilities. If a drone tries to leave its approved zone, the platform can connect to the drone, extract flight plans, and command it to stay within bounds. This prevents unauthorized drone intrusions into restricted areas.

Source

A drone interworking with a drone traffic management system that allows the drone to communicate with the traffic management system using a direct route and an indirect route based on flight conditions. This enables safe drone operation even when internet connectivity is poor or sensors are faulty. The drone receives and analyzes UTM messages from the traffic management system, interprets them, and constructs TM messages to transmit to the drone operating system. This allows direct communication between the drone and traffic management system if needed.

Source

Intelligent group flight path planning for unmanned vehicles that enables multiple drones to autonomously perform coordinated missions like environmental monitoring, search and rescue, and agriculture. The method involves planning flight paths, avoiding obstacles, and re-planning broken links. A lead drone initiates the mission, maps obstacles, and transmits adjusted paths to follow. If a drone loses communication, it falls back to the pre-planned route. This allows groups of drones to collaboratively accomplish tasks with intelligent path coordination.

Source

Enabling long-distance communication between unmanned aerial vehicle (UAV) controllers and UAVs using wireless networks. The system involves authorization requests and responses between the UAV controller, UAV, and network elements like UAV Traffic Management (UTM) and core networks. The UAV controller requests authorization to control the UAV from UTM. UTM grants or denies. The UAV controller can also request UTM to authorize matching with a specific UAV controller. Core networks can request UTM authorization for a UAV controller to control a UAV. This allows UAVs to be remotely piloted over long distances using network communication instead of short-range radios.

Source

Scalable, secure flight management system for improving air traffic safety between manned and unmanned aircraft. The system receives flight data from multiple sources, models airspace zones based on the data, detects conflicts, and resolves them. It sends flight control info to aircraft involved. This allows aircraft without specialized collision avoidance to safely coexist in airspace with others. The system provides a common standard for aircraft to connect and receive real-time airspace updates.

Source

Aircraft superhighway system for safe beyond line-of-sight drone flight that uses spaced-apart nodes along a route to authorize, monitor and control drones in that airspace. The nodes have coverage areas that overlap to form a continuous corridor. Drone requests for flight certificates are approved, and in-flight drones are monitored. Nodes communicate with drones and the controller. This allows coordinated drone transit without onboard sensors or radios.

Source

An unmanned aerial vehicle (UAV) management and control platform that leverages BeiDou positioning and 5G technology to provide centralized monitoring, scheduling, and early warning of UAV flights to enable legal, efficient, and safe UAV operations. The platform establishes airspace models based on target areas and no-fly zones. UAVs are planned to avoid no-fly areas using the models. The platform monitors UAV flights and alerts on anomalies like deviations or failures. It also provides after-sales tracking of UAVs.

Source

A traffic control system for drones that prioritizes drone traffic based on cargo type. The system uses identifiers on the drones and cargo attributes to determine which drone has highest priority. This information is broadcast to allow drones to coordinate passing through restricted airspace. It prevents congestion and delays by prioritizing drones carrying time-sensitive or fragile cargo over others. The system can be implemented using existing infrastructure like streetlights as a centralized traffic control.

Source

A centralized command and control system for unmanned aerial vehicles (UAVs) that allows remote control and monitoring of multiple UAVs from a single location. The system uses ground satellite links and mobile communication networks to replace line-of-sight data links. Flight control seats send commands to the ground equipment which relays them to the UAVs using satellite links when needed. The UAVs send telemetry back via the ground equipment. This allows centralized management of UAV takeoffs, landings, and flights from a central command center instead of needing dedicated stations at each site.

Source

Autonomous air traffic control system for unmanned aerial vehicles (UAVs) that allows safe, efficient and reliable autonomous flight of multiple UAVs without human intervention. The system uses telecommunications infrastructure, a computer-based traffic management system, and a network of takeoff/landing stations to track UAV locations, dynamically plan flights, and enforce safe separation between UAVs. An AI system processes requests, generates flight plans, and mitigates collisions. Human monitoring centers can intervene in emergencies.

Source

A system for managing and controlling drones in a specific area using existing wireless networks. The system identifies drones in the area using network data and provides alerts and control commands. It analyzes wireless signals to detect drones that aren't transmitting WiFi. The system can also generate control instructions like landing commands for identified drones. This allows managing drones even if they don't have active WiFi. The drone detection and control uses existing wireless network infrastructure like 4G/5G to provide coverage in areas without dedicated drone sensors.

Source

Efficient operation and maintenance management and control of unmanned aerial vehicles (UAVs) through a system that provides centralized monitoring, task scheduling, and real-time display of UAV flights. The system involves binding UAVs to roles, obtaining flight requests, filtering drones based on info, forming flight teams, displaying flight maps, and monitoring flight progress. It also collects and processes UAV data like video and images. The system allows managing multiple UAVs, roles, tasks, and teams, providing centralized oversight and control.

Source

System to prevent crashes of multiple drones in flight by prioritizing crash avoidance processing for drones at higher risk. The system acquires flight status from multiple drones and when it detects a crash risk for a specific drone, it gives higher priority to processing for that drone compared to other drones. This ensures timely crash avoidance actions for the higher risk drone.

Source