Adaptive locked and unlocked control states use attitude sensing to ease one-handed drone control while protecting safety in risky flight scenarios.
Image-based path control lets UAVs track changing objects, avoid obstacles, and keep navigating when GPS signals are weak.
Logged drone routes let untrained operators repeat site inspections consistently, reducing physical visits and supporting 3D site certification.
When routes intersect, user profile and movement history guide more convenient alternative destinations for delivery or patrol tasks.
Altitude-based deviation thresholds guide phased UAV landing decisions, improving alignment and landing stability under wind and positioning errors.
Predictive boundaries with confidence bands help coordinate mobile machines, avoid interference, and improve route planning in dynamic worksites.
Real-time velocity fusion and displacement tracking help UAVs return more accurately to takeoff points when GPS signals are weak or degraded.
Independent rotor control units use shared control laws and source switching to keep multi-rotor aircraft stable during communication failures.
Event-triggered drone control handover uses prioritized authorized entities to keep control continuous, secure, and limited to one operator.
Multiple projected trajectories are screened against terrain and envelope threats to trigger timely aircraft protection with fewer false alarms.
Preloaded 3D trajectories and a shared timecode let multiple drones stay synchronized with low bandwidth and no fixed sensors.
Sensor-driven formation changes let multiple aerial vehicles coordinate nonuniform flight paths, improving safety and mission efficiency.
Automatically sets a moving body's crane inspection route from structure, posture, position, and direction data to cut manual setup effort.
Accelerometer feedback alerts help follower aircraft stay in beneficial updraft while avoiding excessive wingtip-vortex vibration and instability.