Aircraft Landing Aids TRIZ Cases

Preplanned straight-line passes and smooth turnarounds help VTOL aerial vehicles capture complete, high-resolution coverage with less overshoot and energy use.

Discrete coded light cones let an onboard receiver resolve horizontal and vertical approach angles without costly RF landing infrastructure.

Adjustable support rods use ranging data to level a UAV fuselage on uneven ground and reduce rollover risk during landing.

Sensors and flight control assess landing-zone hazards in real time and guide pilots to safer primary or alternative eVTOL landing sites.

Relative-to-ground height sensing triggers timely landing gear release and height adjustment to prevent fuselage-ground contact during UAV landing.

Real-time graphical VFR guidance overlays aircraft and runway position to cut pilot workload and improve landing accuracy on moving runways.

A mast-mounted rotating LiDAR scans between rotor blades to deliver lower-cost 360-degree hazard detection around helicopters, drones, and eVTOL aircraft.

Onboard image analysis tracks runway edges and centerline to guide final approach and landing where precision aids are unavailable.

When EFVS image offsets can mislead pilots on approach, the cockpit display suppresses imagery beyond glide path thresholds and issues alerts.

Onboard image processing tracks runway edges and centerline to guide final approach and landing when airports lack precision aids.

Electromagnets, IMUs, and lift clamps enable precise UAV alignment, secure capture, and integrated refueling and recharging.

Flight parameter comparison and timed prompts detect pilot incapacitation and trigger emergency protocol without added monitoring hardware.

Direct image-based deviation control replaces QR-code recognition to improve UAV landing accuracy, real-time response, and occlusion robustness.

Vertical height changes in ground markers reduce vision bias in aerial images, improving depth, position, and orientation estimates.

A UAV processor compares emergency landing points along preset routes to avoid obstacles and no-flight zones during forced landing.

Pixel-mapped virtual drone camera images let drones match onboard views to a user-selected landing spot without GPS-only error or special equipment.

A composite vertical profile display maps glide range and candidate landing sites to cut pilot workload during emergency diversion.

Marker-based relative position sensing and staged hover-to-land control improve VTOL landing accuracy while avoiding interference near touchdown.

Real-time approach data sets the landing gear deployment point to reduce fuel use, noise, and gear exposure without compromising landing safety.

Real-time overhead approach guidance combines aircraft and runway position data to simplify VFR landing on moving flight decks.

Sensors and a flight controller assess landing zone conditions when pilot visibility is limited, then display safety data and alternate site cues.

Selective alarm deactivation cuts false low-altitude warnings in rescue missions while an auxiliary height alert preserves terrain safety.

Inertial data creates a third glideslope signal, cutting redundant MMR weight and helping autoland stay engaged during signal faults.

Preplanned UAS emergency zones and recyclable contingency airspace enable autonomous rerouting when failures or link loss disrupt flight.

Real-time vertical and oblique ground sensing lets a UAV hold spray height and speed across mountains, terraces, and tall crops.

Filters nearby TRACON traffic to estimate trajectories, spacing, and target aircraft for paired approaches before pilots are rushed.

A remote TLS unit feeds DGPS data to the onboard ATOL subsystem, enabling accurate UAV takeoff and landing without a local control station.

Detects low-frequency ILS localizer anomalies by comparing deviations and switching automated landing control to inertial guidance.

Circular arcs are positioned to stay visible on the cockpit screen, helping pilots judge runway reachability and braking margin at any display scale.

Filtered LIDAR surface-plane estimation measures rotorcraft landing distance and detects terrain or building hazards for safer control response.

Preplanned IAF, FAF, and MAP waypoints use platform geometry data to guide safer aircraft approaches in poor weather with less pilot workload.

Emitter arrays at the landing area send dynamic guidance to VTOL aircraft, improving space use under changing aircraft and weather conditions.

Proximity sensors map hull clearance and nearby obstacles to guide vertical landings in degraded visibility while reducing crew workload.

Objective monitoring of flight path, airspeed, and runway data triggers go-around alerts and auto throttle response to prevent unsafe landings.

Real-time FMS guidance calculates wind-corrected vertical speed and deceleration targets to stabilize unstable aircraft approaches.

Sensor-driven 3D landing symbology helps pilots track moving platforms in low visibility, reducing workload and improving landing awareness.

Real-time onboard imaging lets a UAV track changing targets, manage energy, and land precisely without GPS or preloaded target images.

Asymmetric mating features and optional color coding stop the wrong fuse pin from being installed, preserving correct aircraft shear loads.

Independent floating mast tilt with cyclic and collective pitch improves rotorcraft maneuvering while reducing drag and actuator complexity.

Real-time camera overlays place nearby aircraft identifiers on the cockpit image, speeding traffic recognition and improving pilot awareness.

Live aircraft camera images are color-remapped and annotated to help pilots identify airport features faster, including for color-blind use.

Live camera imagery is overlaid with airport feature labels and markers to speed pilot recognition and improve situational awareness.

Converts ATIS and other aviation audio broadcasts into labeled visual elements, helping pilots spot abnormal conditions faster with less audio load.

A radar altimeter inertial loop combines map, IMU, and sensor data to improve vertical position and velocity estimates during UAS landing.

Blade-mounted light engines project ground patterns that warn rotary aircraft pilots of nearby rotor strike obstacles during take-off and landing.

Fusing visual sensing, ADS-B, and tracking helps detect runway incursions in real time while reducing errors from unreliable position reports.

Multi-modal visual sensing and ADS-B fusion improves real-time runway incursion detection when human assessment and infrastructure coverage fall short.

Role-based cockpit alerts tailor visual, audio, and haptic cues so the pilot flying stays focused while the pilot non-flying handles non-critical warnings.

Multiple passive terrain images are fused into a 3D model to localize the aircraft and guide landing without revealing its position.