Navigational Calculation Instruments TRIZ Cases

Real-time shoreline sensing lets the controller correct a selected landing point and guide the boat into feasible shore space in unfamiliar harbors.

Pre-stored docking position and azimuth data guide ship routing and anchoring, improving docking precision without a more complex control system.

Pre-stored waypoint paths let a terminal send a ready flight record after UAV connection, cutting battery drain during mission setup.

Speed-adaptive gains and a vibration suppression controller keep vessel azimuth control stable across speeds while reducing disturbance-driven vibration.

Fusing IMU, GPS, and visual odometry enables accurate vehicle positioning with lower-cost sensors and more robust computation.

Angled one-dimensional floor codes let AGVs navigate accurately at lower cost than RFID or 2D code systems, even when approach alignment varies.

Task-based formation control lets one operator coordinate multiple aerial vehicles through onboard managers and automated guidance.

An autonomous drone scans shelves after hours and updates product positions, keeping in-store navigation accurate despite frequent layout changes.

Routes drivers to parking lots or loading docks using mobile sensor data and prior delivery paths, reducing time lost at main entrances.

Sensor data and IPS path suggestions cut indoor mapping effort while letting users correct routes to keep coordinate associations accurate.

PWM light switching and impedance adjustment help a mobile robot avoid false ground and wall detection under strong light and black surfaces.

Projected light and a camera turn floor roughness into a positioning reference, avoiding reflectors and costly infrastructure changes.

Depth sensing extracts corner edges and shelf planes to correct mobile automation localization drift in aisle navigation and data capture.

Premeasured subarea intensity maps help moving objects estimate location when GPS is unreliable in complex geographic regions.

Field-shape data and user priority selection generate suitable autonomous work vehicle routes without complex manual setting input.

Sensor and machine-vision guidance helps pilots identify and rank emergency landing strips in fog, rain, darkness, and other low-visibility conditions.

Elevated coded landmarks enable robust autonomous vehicle localization with simple laser scanning, lower infrastructure cost, and less traffic interference.

Virtual reality planning turns 2D UAV routing into an accurate 3D path that operators can visualize, verify, and adjust around obstacles.

Navigation sensors detect predefined vehicle maneuvers to trigger payload actions only when needed, reducing power use and data storage.

Positioning and inertia data let a UAV determine local-to-global heading without magnetic sensors, preserving automated navigation under interference.

Flight management builds speed envelopes and target-speed profiles to meet waypoint constraints while reducing cost from suboptimal aircraft speeds.

Weighted fusion of Doppler GNSS and other position sensors cuts noise and error, improving marine navigation and autopilot accuracy.

Velocity cones and visibility graphs turn moving obstacles into avoidable polygons, enabling real-time conflict-free vehicle paths.

Visual route planning marks flyable and non-flyable UAV segments before the permitted end time, helping prevent after-sundown flight.

Virtual delivery modeling groups drop locations by drone range and plans vehicle waypoints to cut last-mile testing time and cost.

Fusing inertial dead reckoning with SLAM visual odometry reduces pose drift and enables accurate navigation without GNSS coverage.

A handover area lets AGV control shift between source and target RCS, removing manual cross-warehouse storage transfer steps.

Planned end-of-row paths reuse tracked headland areas and turning-radius limits to cut soil compaction while keeping row transitions efficient.

Calculates fore, work, and post field routes to reduce wasteful travel and maintain smooth vehicle passage on sloped entrance and exit areas.

Combined ANP values let neighboring air vehicles maintain safe separation and adjust paths without fixed routes or centralized traffic control.

Arbitrary map nodes let movers stop or turn beyond grid points, improving routing flexibility without heavy computation.

Precomputed field maps and vehicle capacity parameters help agricultural vehicles avoid obstacles while cutting time, fuel use, and wear.

Thermal sensor feedback lets a UAV reroute around flare stack heat and smoke, protecting the aircraft while preserving inspection coverage.

A touchscreen maneuvering interface plans future vessel position and heading, then generates steering and propulsion control data for safer navigation.

Dynamic HIL prediction from inertial, GNSS, and flight trajectory data supports longer navigation coasting through GPS outages and RAIM holes.

Interpolating asynchronous sensor data into a reference-period graph improves vehicle position accuracy while limiting node growth and computation time.

RSS measurements of a jammer let a UAV localize the source and keep navigating inside a GPS-denied jamming zone without cameras.

GPS-guided herbicide vessels keep operators away from water hazards and concentrated chemicals while improving route control and coverage.

IMU dead reckoning keeps a drone tracking a moving beacon through line-of-sight loss, while optical triangulation resets drift.

A UAV releases packages from a set height and uses expanding foam packaging to avoid landing, cut energy use, and protect fragile goods.

Directly route around moving concave avoidances in 4D space by shifting polygons, removing internal edges, and avoiding convex conversion.

Perimeter ranging data is converted into polar maps to guide vessel docking with better accuracy and disturbance compensation in tight spaces.

A calculated turn point balances turning and speed changes to hold aircraft spacing while reducing fuel use and improving traffic flow.

Confidence-based resampling adapts particle filter localization to moving obstacles and map distortions for more accurate mobile robot navigation.

A flight management system uses speed envelopes and target-speed holding to meet waypoint constraints with lower operating cost.

Path planning detects impassable rerouting zones and rebuilds a continuous minimal route so robots avoid getting stuck and complete tasks.

Confidence-weighted elevation mapping lets mobile machines adapt header or boom height to uneven terrain with fewer control errors.

Three-part field route planning uses fore, work, and post paths to smooth entrance and exit travel and cut wasteful movement on sloped fields.

Sensor scans detect occupancy changes and update only discrepant map cells, keeping autonomous vehicle maps current with lower processing load.