77 patents in this list

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Modern drone operations face increasing regulatory complexity across different airspaces and jurisdictions. Current data shows that unauthorized drone incursions into restricted areas have risen by 42% annually, with over 2,000 reported incidents near airports in 2022 alone. Meanwhile, commercial drone operators must navigate a patchwork of local, national, and international requirements that change based on location, altitude, and mission type.

The fundamental challenge lies in balancing operational flexibility with robust compliance mechanisms that can adapt to dynamic regulatory environments while maintaining safety and accountability.

This page brings together solutions from recent research—including automated flight restriction monitoring systems, license-based equipment authorization frameworks, cellular network-enabled control systems, and ground-based flight management platforms. These and other approaches help operators maintain compliance while maximizing operational efficiency in both controlled and uncontrolled airspace.

1. Memory System with Asynchronous Clock Frequencies for Differential Read and Write Data Transfer Rates

Kioxia Corporation, 2025

Memory system that allows higher data transfer rate in read operations compared to write operations by using a higher clock frequency for read transfers. In the write operation, the memory controller sends data synchronized with a write clock. In the read operation, the controller sends a read enable signal synchronized with a read clock that is higher frequency than the write clock. The memory chip generates its own read strobe signal based on the read clock and transfers read data synchronized with that. This allows the memory chip to read data faster using the higher read clock without needing the controller to match the write clock frequency.

2. Geofence Database Query System Utilizing IP Address-Based Geographic Location Mapping for Device Rule Enforcement

GeoFrenzy, Inc., 2025

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.

3. Partitioned Airspace Model for Conflict Detection and Management Among Heterogeneous Vehicles

General Dynamics Mission Systems, Inc., 2025

Detecting and managing conflicts between different vehicles or entities using a partitioned airspace model to enable agnostic monitoring of heterogeneous airspace users. The airspace is divided into non-overlapping partitions. Vehicles provide their operating regions. These are mapped to partitions. Conflicts are detected when vehicles concurrently use the same partition. Notifications are provided.

4. Unmanned Aerial Vehicle Data Collection System with Neural Network-Based Flight Anomaly Detection and Geographical Data Integration

HENAN JUDICIAL POLICE VOCATIONAL COLLEGE, 2024

A data collection system for unmanned aerial vehicles (UAVs) to improve flight safety and prevent loss of UAVs. The system collects flight data, geographical data, and monitors for failures during UAV operation. It uses neural networks to analyze flight data to detect abnormalities and failures. It also collects geographical data to improve landing point accuracy. If abnormalities are detected or a failure occurs, the system initiates a return sequence. This prevents UAVs from exceeding control distances or crashing due to operator error or malfunctions.

5. Drone Flight Monitoring System with Real-Time Plan Comparison and Service Restriction Mechanism

CHINA UNICOM, CHINA UNITED NETWORK COMMUNICATIONS GROUP CO LTD, 2024

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.

6. Multi-Drone Collision Avoidance System with Ground Control Terminal and Unique Identification Codes

GUANGXI YIJIE TECH CO LTD, GUANGXI YIJIE TECHNOLOGY CO LTD, 2024

System to enable safe and efficient operation of multiple drones collaboratively in the same area without collisions. The system involves a ground control terminal communicating with the drones using unique identification codes. The drones send real-time flight data including position. The ground control analyzes the positions to identify drones within a safe distance of each other. These are flagged as high-risk and monitored more closely.

7. Method for Real-Time Risk Prediction and Mitigation in UAV Missions Using Threshold-Based Monitoring and Evaluation Algorithms

Army Engineering University of the Chinese People's Liberation Army, THE ARMY ENGINEERING UNIVERSITY OF PLA, 2024

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.

8. Automated Drone Airport System with Integrated Master Control, Ground Station, and Environmental Suitability Assessment

Shenzhen Duoyi Innovation Technology Co., Ltd., SHENZHEN DUOYI INNOVATION TECHNOLOGY CO LTD, 2024

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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9. Drone Monitoring Platform with Networked Detection and Response Modules

THE FIRST RES INSTITUTE OF MINISTRY OF PUBLIC SECURITY, THE FIRST RESEARCH INSTITUTE OF MINISTRY OF PUBLIC SECURITY, 2023

A drone monitoring and early warning platform that uses a network of dedicated drones to detect, track, and respond to unauthorized drones near sensitive locations like airports and events. The platform consists of modules for resource management, early warning prompts, processing, visual presentation, data analysis, and dedicated drone management. It aims to improve drone security by providing informatized drone detection, early warning, and countermeasures using a network of dedicated drones.

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10. Centralized Control System for Standardized Flight Status Data Management Across Heterogeneous Unmanned Aircraft Fleets

NEC CORP, 2023

Centrally managing the operation of multiple unmanned aircraft of different types to simplify fleet management and enable efficient operation of mixed fleets. The system involves standardizing the format of flight status data transmitted from the unmanned aircraft to a central control device. This allows extracting and processing the necessary information consistently across different aircraft types without needing custom extraction for each format. The standardized flight status data provides a common set of flight parameters like position, speed, altitude, etc. that can be monitored and managed centrally for all aircraft.

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11. Off-Board Controller-Based License Verification and Selective Software Transmission System for Unmanned Aerial Vehicles

THE BOEING COMPANY, 2023

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.

12. Off-Board Computer System for Selective Software Transmission Based on User License Verification for Drone Equipment Control

THE BOEING COMPANY, 2023

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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13. Automated System for Generating and Monitoring UAV Flight Restriction Checklists

Wing Aviation LLC, 2023

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.

14. Ground Control and Collision Avoidance System for Coordinated Unmanned Aerial Vehicle Swarms

BlueHalo, LLC, 2023

Autonomous swarm control system for unmanned aerial vehicles (UAVs) that allows safe and efficient coordinated flight of multiple UAVs. The system has a ground control station that receives flight commands and generates fleet instructions. Each UAV receives instructions and checks for collisions. If collisions are detected, the UAV modifies the instructions to avoid them. This allows real-time collision avoidance while following commands. The ground control station also monitors UAV availability to ensure they can execute commands. If not, it notifies operators.

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15. Unmanned Aerial Vehicle Conflict Detection and Avoidance System with Onboard Sensor-Based Decision-Making

The 15th Research Institute of China Electronics Technology Group Corporation, 15TH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORP, 2023

Conflict detection and avoidance decision-making system for large unmanned aerial vehicles (UAVs) operating in congested airspace. The system helps UAV pilots maintain safe distances from other aircraft. It uses onboard sensors to monitor nearby traffic and provides guidance to prevent collisions. The system continuously updates avoidance maneuvers based on changing aircraft positions. It allows UAVs to fly safely in mixed manned-unmanned operations by providing local decision-making and avoiding global coordination requirements.

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16. Autonomous Unmanned Aerial Vehicle Flight System with Independent Lateral and Vertical Guidance Mode Engagement for Controlled Airspace Operations

AURORA FLIGHT SCIENCES COPORATION, A SUBSIDIARY OF THE BOING COMPANY, 2023

Autonomous unmanned aerial vehicle (UAV) flight system that supports UAV operations in controlled airspace. The system receives cleared flight path instructions from air traffic control and determines specific lateral and vertical guidance modes required for the UAV to follow the instructions. The UAV engages these modes, which are independent of each other and follow instrument flight rules. This allows the UAV to fly autonomously in complex airspace by following authorized routes and procedures.

17. Method for Real-Time Risk Assessment and Adaptive Flight Strategy in Unmanned Aerial Vehicles

Fengyi Technology Co., Ltd., PHOENIX WINGS TECHNOLOGY CO LTD, Fengyi Technology (Shenzhen) Co., Ltd., 2023

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.

18. UAV Flight Monitoring System with RFID-Based Legitimacy Classification and Web-Crawled Data Analysis

BONC INOVATORS CO LTD, 2023

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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19. Modular Risk Management System for UAV Inspection Operations with Airspace Approval, Flight Planning, and Real-Time Monitoring

Guangdong Power Grid Co., Ltd., GUANGDONG POWER GRID CO LTD, 2023

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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20. Independent UAV Supervision System Utilizing Cross-Referenced Identification Data

Zhejiang Zheli Feike Technology Co., Ltd., ZHEJIANG ZHELIFEI TECHNOLOGY CO LTD, 2023

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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21. Drone Flight Path Broadcasting and Proximity Detection System Using V2X Messaging

22. Ground-Based Automated Control System for Urban Air Mobility Vehicles Utilizing Localized Temporal Data

23. Centralized Collision Warning System for Drones with Virtual Proximity Zone Monitoring

24. Drone Flight Malfunction Detection System Utilizing Digital Twin and Neural Network State Analysis

25. Unmanned Aerial Vehicle Mission Automation System with Configurable Decision-Making Levels

Drone operation is becoming safer and more lawful in a variety of usage due to solutions like automated airspace monitoring and license-based permission systems. Its smooth integration into current legislation is made possible by these advancements, which pave the way for even more innovation and the good of society.

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