International Drone Regulations

Automated approval system for drone flight applications that uses AI and machine learning to quickly and efficiently approve drone flight applications. The system analyzes the application data to determine if it meets regulatory requirements, reducing the need for manual review. This improves approval times and enables faster, safer drone integration into airspace.

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Method to improve accuracy of unmanned aerial vehicle (UAV) flight requests by verifying legality based on UAV and pilot identities, and adjusting flight plans if rejected. The method involves receiving a UAV flight mission, verifying legality using identity checks, planning the flight path, submitting the request, and modifying the path if rejected based on reasons. The identity checks include matching UAV and pilot info against a database, calculating hash values, and comparing them.

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Low-altitude drone detection and early warning system for airspace management that uses joint detection, risk assessment, and situation sharing to improve safety and compliance of drones operating in low-altitude airspace. The system involves predefining sensitive airspace areas, jointly detecting drones using active and passive sources, assessing risk based on factors like weight and proximity, and sharing alerts to surrounding aircraft when unauthorized drones are found. This allows accurate identification, risk evaluation, and timely warning of illegally flying drones to prevent conflicts and ensure continued safety and stability of low-altitude airspace.

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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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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.

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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.

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Intelligent approval method for unmanned aerial vehicle (UAV) airspace use that automates and improves the efficiency and accuracy of UAV airspace approval decisions. The method uses an expert system with rules based on approval experience. The rules cover data integrity, airspace restrictions, and safety impacts. The rules are prioritized based on planning information. The system sequentially applies rules to review UAV plans. It provides an automated approval process that leverages expert knowledge to make more accurate and consistent UAV airspace decisions.

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Monitoring and regulating unmanned aerial vehicles (UAVs) to improve safety and security without requiring physical modification to the UAV. The method involves detecting UAVs by capturing and analyzing datagrams transmitted by the UAVs. The datagrams contain monitoring data like UAV and controller locations. The UAVs are configured to transmit these datagrams along with their normal communications. This allows existing UAV communication systems to be used for monitoring.

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A method for monitoring unmanned aerial vehicles (UAVs) that allows regulators to independently verify compliance with flight rules without relying on the UAV operator's cloud platform. The method involves obtaining UAV operator filing information that includes the UAV's identification. When a UAV is flying, its communication and hardware identifiers are received. Using the communication identifier, the regulator looks up the hardware identifier from the operator's filing to determine if the flying UAV meets the regulator's flight requirements. This allows independent verification of compliance instead of trusting the operator's reported flight data.

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An aviation approval services platform that simplifies the process for obtaining regulatory approvals for unmanned aerial vehicles (UAVs) and their operations. The platform receives customer data about the UAV and operator, checks compliance requirements, and helps meet any deficiencies. It then submits the application on behalf of the customer. The platform also monitors usage and revokes privileges if compliance is not maintained. The goal is to provide a streamlined, guided path to UAV approvals while ensuring safety and regulatory compliance.

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Policing unmanned aircraft to prevent unauthorized control and dangerous use. The system uses remote identification, flight plan verification, dual control, and biometric pilot authentication to police unmanned aircraft. Approaches include requesting flight plans, remotely destroying non-compliant drones, and determining pilot identity through biometrics.

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A system for managing drone flight to prevent unauthorized areas. The system sets buffer zones around restricted areas where drones are not permitted to fly. The size of the buffer zones is dynamically adjusted based on factors like the number of nearby cell towers, signal strength, and GPS accuracy. This allows precise control over drone access to restricted areas without overly restricting flight in nearby permitted areas.

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System for registering drones, identifying them in flight, and safely managing their flights through reservation. The system involves registering drones and pilots, checking compliance, and enabling flight reservation. It allows real-time identification of drones mid-flight, reduces collisions between drones, and minimizes unauthorized flights. It also provides flight tracking and monitoring outside reserved routes. The system aims to exclude factors causing secondary and tertiary accidents and promote drone industry growth.

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Standardizing and enforcing data standards in unmanned traffic management (UTM) systems to ensure interoperability, reliability, and safety of unmanned aircraft operations. The system involves using customized wrappers around single-function services like weather, flight tracking, and terrain data. These wrappers enforce performance benchmarks and provide standardized interfaces. A central UTM platform intelligently selects and connects users to the best service for their needs based on benchmarks. It allows competition between service providers offering different capabilities and prices to meet the benchmarks.

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Collaborative integrated supervision platform architecture for safe and efficient management of light and small unmanned aerial vehicles (UAVs). The platform has three interconnected systems: airspace management, information service, and safety management. The airspace management system manages UAV flight permissions. The information service system provides real-time UAV flight data to all systems. The safety management system handles UAV safety issues. This integrated platform enables coordinated, end-to-end UAV flight supervision by multiple authorities.

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Automatic system for approving and supervising civil drone flights. It provides a comprehensive drone flight approval process that meets requirements for fast approval, real-time tracking, rapid control verification, and comprehensive information release. The system has subsystems for user service, airspace management, public safety management, and flight information. It uses the drone's real-time location to dynamically monitor and manage flights based on safety rules.

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A drone management and control platform that uses airspace safety assessment to provide unified guidelines and scientific safety assessment methods for drone flight. The platform involves pre-establishing an airspace model for a region, setting airspace safety data, and creating a safety assessment model. This allows autonomous planning of drone flight paths based on threat levels. It also provides early warning and disposal suggestions for high-threat drones. The airspace safety assessment provides a scientific basis for drone supervision and rational use.

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Integrated UAV management system using big data fusion to provide comprehensive monitoring and safety for UAVs. The system has cooperative and non-cooperative UAV management modules that feed data to a front-end service. The cooperative module connects to drones with compatible chips, while the non-cooperative module covers uncooperative drones. By fusing data from both modules, the system can monitor and identify unauthorized flights in sensitive areas. It provides features like UAV registration, flight data management, user integration, and domain-specific functions.

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Method for drone pilots to apply for airspace permission to fly in restricted areas. The method involves a dedicated air traffic control system for drones that allows pilots to apply for flight airspace, modify applications, check approval status, negotiate airspace, and analyze usage. It provides a legal, automated, and integrated way for drone pilots to request and obtain permission to fly in restricted areas. The system connects drone management with airspace regulation and air traffic control.

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Comprehensive drone supervision system that provides end-to-end monitoring and control of drones to ensure safety and compliance. The system has five subsystems: flight management, mission monitoring, access control, detection/warning, and defense countermeasures. It supervises drones from registration to flight, monitors compliance, detects unauthorized drones, and takes action against violators. The system enables real-time detection, response, and enforcement against drone misuse.

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