Drone Compliance Standards

Detecting and responding to flight-restricted regions for unmanned aerial vehicles (UAVs) to permit automated flight control in response to detected proximity to restricted areas. The method involves calculating distances between the UAV and flight-restricted regions using location data. If the distance falls within certain thresholds, flight response measures like landing or preventing takeoff are initiated. This provides automated response to restricted areas with graded actions based on proximity. It also uses location systems to accurately detect restricted areas.

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Automating drone waiver requests in emergency situations to expedite approval and reduce delays. The system uses AI to identify and describe incidents, communicate instantly with requesters, and validate data. It aims to provide faster, more efficient waiver processing for emergency drone operations compared to manual methods.

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Managing flights of mobile terminals like drones that use multiple cellular networks. A central management apparatus allocates flight zones across cellular networks based on shared 3D space. This involves dividing airspace into zones identified by latitude, longitude, and altitude. The management apparatus distributes this zone allocation data to the cellular networks. Each network then uses it to coordinate flights of devices connected to their network. This ensures consistent flight management across networks when multiple devices fly in proximity.

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Authenticating unmanned aerial vehicles (UAVs) and authorizing UAV services in a wireless communication system. The authentication involves verifying the identity of a UAV terminal and requesting registration from the access management function (AMF). If the UAV is a part of a fleet, the AMF requests UAS authentication from the UAS traffic management (UTM). The UAV also performs mutual authentication with another UAV. This allows controlled pairing and sharing of UAV services between authorized devices.

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Secure and efficient tracking of unmanned aerial vehicles (UAVs) in a geographic area using a network of ground-based transceivers that coordinate with the UAVs to avoid congestion and spoofing. The ground transceivers send interrogation signals to UAVs with instructions on how to respond. UAVs transmit location data back using the specified format. This allows the ground system to authenticate and accurately track UAV positions without periodic broadcasts that can be spoofed.

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Flight management system for unmanned aerial vehicles (UAVs) that fly according to predefined flight plans. The system involves sharing flight plan and real-time UAV position information between the UAV and a management device. This allows accurate tracking of UAV flight status by updating the shared info as needed from the UAV transmissions. It enables safer and more controlled UAV flight by managing UAVs based on the flight plan route rather than just position. It also allows UAVs to autonomously adapt flight if conditions change or if other UAVs are nearby.

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Querying a database of geofences to efficiently enforce rules within them using drones and other devices. The geofences are defined by a plurality of geographic locations associated with unique IP addresses. Drones and devices can request geofence information for a location using the IP addresses. This enables accurate and fast geofence lookup and enforcement by drones without needing GPS or other positioning systems. The geofences can also have rules, licenses, and entitlements associated with them.

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Monitoring drone flights to detect unauthorized flights (aka "black flights") that have not been registered or approved. The monitoring involves comparing the known flight plans of registered drones against real-time drone locations. If a drone is detected flying outside its approved plan, it is flagged as a black flight. The monitoring is performed by supervision base stations that provide slicing services to drones. If a drone is flying black, the base station does not provide slicing to prevent it from using its services. This forces the drone to land or return to a legal flight path.

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Monitoring method for unmanned aerial vehicle (UAV) missions to improve success rate by predicting and mitigating risks during flight. The method involves determining factors and thresholds affecting UAV tasks, like environmental, equipment, and personnel factors. It collects real-time data on these factors during flight and uses prediction models to forecast future values. If forecasts exceed thresholds, it generates early warnings with improvement suggestions. If thresholds are not exceeded, it uses an evaluation algorithm to calculate a monitoring report based on the forecasts, weights, and operator quality. This provides proactive risk assessment and recommendations throughout the mission.

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Automated drone airport system for reliable and safe operation of drones in applications like solar panel inspection, reservoir monitoring, etc. The system includes separate components like a master control server, ground station, network communication, power supply, and battery management. It connects to an external server for task assignment. The server checks environmental suitability before releasing the drone. The ground station controls the drone remotely. The components like hatches, platforms, and positioning devices ensure safe drone entry/exit, landing, and recovery. The system enables automated drone deployment, operation, data transfer, and battery swapping.

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An authorization system for unmanned aerial vehicles (UAVs) that restricts the operation of UAVs and equipment based on the user's license. The system involves an off-board controller that checks the license, determines authorized equipment/software profiles, and selectively transmits that software to the UAV for installation. This prevents unauthorized equipment operation even if assembled on the UAV.

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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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Safe operation method for unmanned aerial vehicles (UAVs) that enables real-time monitoring and control of UAV flight safety. The method involves calculating flight risk parameters based on factors like UAV performance, environmental complexity, and task difficulty. This allows determining the current flight strategy to mitigate risks. The performance parameters are derived from UAV sensors and historical data. The environmental complexity is calculated using weather, terrain, etc. The task complexity is based on factors like distance, load, and number of flights. By dynamically assessing risk, the UAV can adapt flight plans to account for changing conditions and avoid unsafe situations.

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A system for tracking and analyzing unmanned aerial vehicle (UAV) flights to monitor compliance with regulations and identify illegitimate use. The system collects aircraft and flight data through web crawling and analysis to determine UAV flight purposes. It uses a radio frequency identification (RFID) module to compare flight patterns and classify flights as legitimate or illegitimate. If an unregistered UAV is detected, the system contacts authorities to monitor and track it.

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Risk management system for unmanned aerial vehicle (UAV) inspection operations to improve safety and efficiency. The system has three modules: airspace approval, flight planning, and comprehensive management. The airspace approval module reviews UAV inspection plans to assess risks. Flight planning generates detailed UAV routes based on inspection plans. Comprehensive management monitors real-time UAV flights against planned routes to detect deviations and abnormalities.

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Method, device, and system for supervising unmanned aerial vehicles (UAVs) that allows independent and reliable monitoring without relying on the UAV operator's cloud platform. The method involves obtaining reporting information from UAV operators that includes UAV ID, operator-provided UAV ID, and hardware ID. By cross-referencing the communication ID with the hardware ID provided by the network operator, compliance with regulatory flight requirements can be determined. This allows monitoring platforms to independently verify UAV compliance without relying on operator-reported data.

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Ensuring safe drone flights over public roads and other restricted/sensitive locations by having drones broadcast their flight paths and positions using vehicle-to-everything (V2X) messaging. Nearby vehicles, pedestrians, and other drones can then use this information to warn each other and adjust flight paths to avoid collisions. The drones can also detect proximity to roads based on signals from vehicles, devices, or infrastructure. If they are near roads with people, they can temporarily avoid flying over them.

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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.

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Monitoring and supervising unmanned aerial vehicles (UAVs) to ensure safe operation. The method involves using the UAV's own communication capabilities to transmit flight data to a central server. This allows real-time monitoring of UAV positions and flight parameters. The server can generate flight restriction instructions and warnings if regulations are violated. UAVs can also obtain local airspace restrictions. Offline UAVs can submit flight plans with parameters for approval.

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A system to identify, monitor, and control unregistered drones that have not gone through a registration process. The system uses communication between the drones and a base station to determine if a drone is registered or not. If unregistered, the base station can alert important facilities, monitor the drone, and prevent accidents. The drones provide real-time flight data like speed and altitude. The registration process involves providing flight details like purpose, equipment, and location to the base station.

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