Protective Controls in Drone Operation

Securely booting unmanned aerial vehicles (UAVs) to ensure compliance with aviation regulations like flight permitting. The UAV boots a UEFI shell that downloads a permission file from a server over the network. The shell validates the file using cryptography before booting the operating system. The shell passes the validated permissions to the OS, which enforces them on applications like flight control. This prevents unauthorized UAV flight by requiring permission download and validation before booting the OS.

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Unmanned aerial vehicle (UAV) system that improves safety for autonomous drones, especially for agricultural spraying. The UAV system has a diagnostic state where the drone checks itself and the environment before takeoff. If the drone or environment is not safe, it prevents takeoff. This ensures the drone doesn't fly if it's malfunctioning or in a dangerous area. The diagnostic state also includes checking battery capacity of the drone and the ground station to prevent emergency situations mid-flight.

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Safe flight control for unmanned aerial vehicles (UAVs) using deep learning to prevent collisions and ensure compliance with flight paths. The method involves obtaining motion data and echo signals from the UAV over a time period. This data is used to train a neural network to predict the UAV's position and avoid obstacles based on the initial motion and echoes. The network also checks if the predicted path matches the planned one. If not, it alerts the UAV to correct course to avoid violations. This autonomous collision avoidance and path compliance system uses past motion and sensor data to safely guide UAV flight.

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Intelligent method and system for managing battery electricity in drones to prevent accidents and improve battery utilization. It calculates the required electricity to land or return based on current position, and if battery is low, prompts or automatically triggers landing or return. This provides real-time, intelligent protection rather than fixed voltage thresholds.

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Integrated UAV detection and attack defense system using software radio technology. The system has a controller, RF transceiver, detection antenna, suppression antenna, and decoy antenna. It detects UAVs in a set area using the detection antenna, then attacks them using the suppression antenna and deceives them using the decoy antenna. This addresses the reliability issue of UAV defense systems by selectively targeting intruding UAVs while protecting legitimate ones.

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Unmanned aerial vehicle (UAV) landing and takeoff control system that balances safety and flexibility by allowing restricted landings and takeoffs based on object type and position. The system uses onboard sensors to detect objects near the landing/takeoff zone. It identifies object type (static vs moving) and restrictions are applied based on that. For example, landing is allowed if the object is a package that can be moved. Restrictions are further refined based on UAV flight mode, distance, user presence, etc.

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Unmanned aerial vehicle (UAV) design to ensure safety of people around it during takeoff and landing. The UAV has sensors like a laser module at the tail and a radar module below. Before takeoff, the laser sensor checks behind for people and prompts them to move if needed. During landing, the radar sensor checks below for people and alerts them. This warns people to avoid areas where the UAV will move.

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Emergency landing system for autonomous drones that safely lands the drone when an abnormality is detected during autonomous flight. The system determines if the drone is abnormal based on reliability of flight environment sensors. If abnormal, it generates an emergency landing signal and sends it to the flight control unit. The unit then calculates a vertical landing path avoiding obstacles below and lands the drone. This prevents crashes due to sensor failures during autonomous flight.

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An unmanned aerial vehicle (UAV) can release a warning alarm device when it detects an abnormality that may cause a crash. The UAV monitors its flight, and when it senses an impending failure, it detaches and deploys an alarm device to warn people on the ground. The alarm device can have a parachute to slow its descent and stay airborne while sounding an alarm or displaying a warning message. This provides a way to alert people below about an imminent UAV crash so they can evacuate the area.

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Collision avoidance system for unmanned aerial vehicles (UAVs) to enable safe integration of UAVs into controlled airspace. The system uses onboard UAV sensors to monitor airspace around the UAV and detect conflicts with other aircraft. If conflicts are detected, an alarm is sent to the ground control station and the UAV pilot. This allows the pilot to take evasive action to avoid collisions. The system uses a ground control station with a dedicated collision avoidance processor to analyze the conflict data and provide guidance to the UAV pilot. The ground station can also display and alert the pilot of potential conflicts.

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Detection linkage anti-drone defense system that improves efficiency and accuracy of unmanned aerial vehicle (UAV) interception by dynamically adjusting defense areas around protected objects. The system sets a basic defense area around the object to initially protect it. If a UAV is detected inside the basic area, an active defense area is created around the UAV to intercept it. The system monitors for overlap between the areas to prevent missing UAVs. After interception, the system induces the UAV to fly towards a new end point to avoid risks. By dynamically adjusting defense areas and inducing UAVs, it improves UAV protection efficiency and accuracy.

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Reducing damage to the environment when an aerial vehicle crashes by adapting the vehicle's actions based on the surrounding environment. The vehicle monitors its surroundings and determines the risk to the environment from the vehicle and its load crashing. Based on this risk assessment, the vehicle takes actions to mitigate damage in the event of a crash, such as releasing the load, ejecting the load, lowering the load, emergency landing, decomposing the vehicle, or releasing fuel. The goal is to minimize harm to people and objects near the vehicle if it crashes.

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Intelligent inspection drone with omnidirectional obstacle avoidance capability. The drone has radar sensors on the wings as well as at the front and bottom of the body. This allows the drone to detect obstacles in all directions, not just forward. The radar on the wings supplements the forward-facing radar to provide 360 degree obstacle detection. This enables the drone to make the best avoidance path when turning or maneuvering, improving safety during inspection tasks.

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A moving body, like a drone, that autonomously moves in an environment estimates a safety degree for continuing motion based on external information and its own history. It uses environmental data to assess potential collisions and dynamic object risks. If safety is high, it moves. If low, it stops or detours. This allows autonomous vehicles to avoid dangerous situations and safely navigate complex environments.

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Large-scale unmanned aerial vehicle (UAV) cruise system that enables safe and reliable long-range UAV flights by providing features like power level monitoring, weather condition detection, and obstacle avoidance. The system includes a large UAV with battery monitoring, rain sensor, and distance sensor. A satellite relays signals between the UAV, remote controller, and ground stations. This allows detecting low battery, heavy rain, and nearby obstacles during flight. The controller and ground stations provide alerts to return the UAV, avoid rain, or bypass obstacles.

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Allowing a user to control an unmanned aircraft during a fall using an image of the falling position captured by the aircraft. The system displays the falling position image, generates a control command based on the image, and transmits it to the aircraft to control its movement during the fall. This enables the user to steer the falling aircraft based on the visual feedback instead of relying on self-sustaining control. The system estimates the falling position from flight data and sensor readings.

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Unmanned aerial vehicle (UAV) system that warns people below when the UAV is in trouble. The system has an onboard device that can detach and descend separately from the UAV. If the UAV encounters a critical situation where it cannot continue flight, the detachable device is released to warn people below. The device can have features like parachutes, lights, sirens, banners, or smoke to make people notice. This allows quicker warning compared to increasing UAV alarms at high altitude. The detachable device can also have its own power source and electronics.

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Detecting and intercepting drones using a networked system with multiple sensors and counter drones. The system receives potential drone sightings from sensors, fuses the data to confirm if it's a threat drone, and then sends interception instructions to nearby counter drones. This allows collaborative detection and response against drones using distributed sensors and mobile interceptors. The system can also provide services like renewing energy supplies to the counter drones. It allows flexible response strategies like destroying drones outside protected areas.

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Controller for autonomous drones with a simplified, intuitive interface for non-expert users. The controller has an on-screen map, route, and emergency button. It displays the drone's location on the map. The emergency button sends commands like hovering and stopping the drone. This allows quick, intuitive response in emergencies without complex controls.

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A drone system that improves operational efficiency by minimizing stoppage of drone operations when an intruder is detected in a designated area. The system involves a demarcating member that detects intruders in the drone's operating area. If an intruder is detected, the movable base that transports the drone stops moving. The drone then determines a landing position based on the stopped base's location, rather than continuing flight, to avoid collisions with the intruder. This allows the drone to keep operating in the area as much as possible while avoiding risks from intruders.

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