Risk-based airport zones assign no-fly, altitude, authorization, and warning levels to protect aircraft operations without overrestricting UAV range.
Altitude-based control handoff lets HALE UAV fleets use N:M supervision aloft and 1:1 control during descent to meet rules and cut workload.
Multiple target markers and active camera adjustment keep the landing marker in view, enabling precise UAV landing without GPS.
Dynamic gain adjustment uses sensor feedback to balance actuator response and flight stability, reducing jitter, jello effect, and horizon drift.
A risk-based UAV planning model balances path and collision risks across concurrent missions by adjusting routes, timing, or mission selection.
Gesture recognition links wearable controllers and image sensors so a UAV can track people and adjust flight and imaging in real time.
Automated reference-based calibration rotates drones along set axes to streamline IMU and compass setup for multiple drones before flight.
Two UAVs use a directed light flash and image capture to confirm microwave link line of sight without costly manual tower surveys.
A cylindrical rolling guard and composite airframe let a UAV fly, skid, or roll while improving thrust efficiency, cooling, and payload protection.
A geometric envelope projects out-of-range flight commands to the nearest valid motor point, preventing 0% or 100% saturation and unstable control.
Bipartite graph launch planning assigns UAV positions and staggered takeoff times to cut collision risk and speed formation assembly.
Mobile radiation sensors scan containers alongside cargo flow, separating background fluctuations from real threats to cut false positives.
Machine perception maps crop rows and other asset features into local coordinate frames, enabling autonomous vehicle navigation when GPS is unreliable.
An explosive launch tube sends a UAV to usable height, saving battery for longer covert flight with counter-rotating blades and head-worn control.
Trajectory-based onboard sensing keeps UAVs within a dynamic well-clear boundary, reducing sensor burden while supporting autonomous collision avoidance.
Door-region and height-mark recognition guides a drone through a hoistway without mechanical guides, improving indoor navigation reliability.
Simulated teammate guidance and avoidance keeps AV teams synchronized during communication denial with accurate state prediction.
Checks weather at multiple positions along a planned flight path to flag unsafe conditions and identify alternative routes.
Neural networks on HAPS and drones detect airspace anomalies, correct GPS drift, and adapt flight paths for safer inspection.
When datalink is lost, the aircraft converts its planned procedure into a spoken radio message so ATC and nearby traffic can track its intent.
A PLA state machine switches UAV servo control to a backup autopilot when processor output is invalid, improving reliability without extra hardware.
Ground marker recognition guides a tethered drone directly above a target, improving delivery accuracy beyond GPS-only positioning.
Torque feedback on remote control sticks lets users adjust preset UAV flight paths in real time while preserving repeatable trajectory control.
A vector field and CL-RRT return path steer an aircraft back to its route while avoiding obstacles and meeting turn and climb limits.
A free wing and fixed horizontal rotor let a multirotor climb or descend in forward flight while holding stable pitch and cutting energy loss.
Vehicle speed, location, and operation data guide aerial camera range and flight control to capture patrol subjects in changing situations.
A secondary fall prevention mechanism holds drone cargo after line severing or disconnection, reducing drop risk during windy delivery flights.
RANSAC-based frequency hopping estimation improves drone RF detection under timing errors, false alarms, multiple targets, and low SNR.
Locked waypoints and hover instructions let multiple UAVs share 3D airspace safely while supporting automated routing and emergency landing.
Power distribution across pivoting drive units is adapted between vertical and horizontal flight to stabilize yaw and roll with lower power loss.
Broadcast requests and unicast UAV replies prevent response collisions while enabling accurate legitimacy checks with lower power use.
Ground radar and escort drones extend UAV detect-and-avoid coverage without adding onboard sensing weight or power burden.
Mobile exchange stations let UAVs take off, land, and hand off payloads across wider delivery areas without relying on fixed launch points.
Split-route UAV control resumes missions from recorded or selected waypoints, easing battery and memory limits on long flights.
Independent rotation and timed LED flashing let a drone write shapes or words in the night sky while reacting to sound.
Sensor-driven compensation adjusts aerial motor RPM and torque commands to feasible limits under changing conditions, improving stability.
A motorized spool with spring feedback keeps UAV tether tension stable, enabling longer flight and safer switching between tethered and battery power.
Preceding collision members let a UAV touch boundary surfaces first, improving controllability and reducing damage in closed-space inspection.
AI and computer vision allocate drone parking, charging, and secure storage spaces to cut operator burden and improve service reliability.
Reduced frame overlap, feature matching, and telemetry-guided processing enable near-real-time aerial maps with lower compute demand.
A mode-switching drone stabilizes flight for precise 3D contour measurement of surface defects on large structures without manual access.
A coordinated penetration tool and cord let two flight vehicles extract and tow objects from confined spaces without simultaneous in-space flight.
A split UAV autopilot uses a real-time main processor and delayed co-processor commands to keep flight stable with rate damping.
A clamshell cover protects controls and antennas while conductive planes, cooling, and PCB isolation preserve RF range and IMU accuracy.
Compares mission utility with and without a target area to guide area allocation, path planning, and conflict-aware mission selection.
Coordinated drones combine open-path laser sensing with vertical wind profiles to improve gas flux and emission rate estimates in variable winds.
Dynamic radius control lets an autonomous vehicle follow abrupt subject motion smoothly while keeping the camera on target.
Dual IMU feedback and a stabilizing motor adjust attack angle in flight to cut drag, hold pitch, and extend aerial vehicle endurance.
Indoor sound data guides a drone along building walls to avoid quiet rooms and reduce noise discomfort during near-building operations.
UAV and satellite 3D site models replace tower climbs for small cell planning, vetting, and installation coordination.