Navigational Calculation Instruments TRIZ Cases

Buffered image data lets a drone relocalize only when drift grows, cutting compute load while keeping trajectory alignment accurate.

Work straight line intersections let a combine map polygonal unworked land during round reaping with fewer contour calculation steps.

A grid-based reliability map helps UAVs avoid dense populations and critical infrastructure while keeping routes practical and safe.

Automatic flight path and antenna planning improves radio connectivity prediction and adapts coverage to changing communication node demands.

Environment property maps combine images with sensor signals to improve indoor and outdoor camera pose accuracy while reducing real-time computation.

Real-time point cloud sensing lets a UAV detect thin wires and new obstacles, then adjust its inspection path for safer automated power line flights.

Expected and actual sensor orientation data are compared to filter outliers, improving robot navigation accuracy and control reliability.

Drift-extrapolated path points help autonomous vessels stay navigable within motion constraints, reducing route deviation and energy waste.

Sensor fusion from optical, infrared, laser, and inertial inputs guides automatic vessel docking and position hold in wind and currents.

Pre-arrival biometric and facial verification lets a UAV release medication only to authorized recipients without signature delays.

Precomputed obstacle distances and pedestrian detection guide search-tree growth to build safer, more reliable mobile robot paths.

Displays waypoint routes with an end-time arrival check so autonomous UAV flights stay within permitted flying hours.

Automatic flight paths and composite imaging let operators inspect bridge undersides safely without scaffolding or lane closures.

Thermal sensor feedback lets a UAV deviate from its flare stack inspection path to avoid heat damage while capturing usable data through smoke.

AGVs and velocity-based pallet grouping cut layer-picking travel distance and time while avoiding fixed conveyor paths and manual forklift moves.

Cross-allocating stopping positions lets multiple mobile devices wait ahead on the route, cutting picker delays and improving logistics picking efficiency.

Concentric ring markers let a furniture-mounted camera determine position and viewing direction precisely without larger or more complex carriers.

Task-based formation control lets one operator coordinate multiple aerial vehicles through commander, manager, and guidance subsystems.

Boundary markers and map-based coordinate correction help a smart mower maintain accurate positioning near edges and obstacles.

By splitting 3D flight planning into horizontal and vertical searches, this case cuts computing load while keeping trajectories compliant and verifiable.

STARI-based final approach planning with holding patterns cuts landing trajectory computation time while avoiding terrain, weather, and restricted zones.

Multiple route generation modes use preset field reference points to create work vehicle routes without manual point registration, cutting setup time.

Sets an azimuth and field reference point to generate autonomous work-vehicle routes with less manual point registration and faster setup.

Wireless mobile kiosks reposition across the airport to match passenger demand, cutting queues, delays, and manual redeployment effort.

Automatic route planning optimizes lane orientation, positioning, and order to cut turning, distance, and time in field cultivation.

Filters Wi-Fi access points by information gain and trains a model on clustered fingerprints to improve indoor positioning accuracy with less complexity.

Virtual ATC links multiple low-altitude UAVs for flight planning, conflict resolution, and collision avoidance in shared airspace.

When GPS or INS data is jammed or offline, onboard IR and threat-warning sensors help the auto-router update routes around clutter and threats.

Sensors map dig-site obstacles so an excavation vehicle can compare bypass, pass-through, and removal routes to cut delays and operator error.

Optical triangulation from deployable geo-fiducials gives UAVs precise landing pad alignment where GPS is unreliable or unavailable.

A similarity matrix compares expected and actual orientation data to remove outliers and improve autonomous robot navigation accuracy.

Contextual map layers add keepout regions, obstacles, and floor data so mobile robots can update routes and navigate dynamic spaces safely.

Fused yaw correction combines GPS, IMU, and magnetometer data to improve aircraft heading accuracy and convergence under interference.

Intermittent correction of SLAM estimates with other positioning algorithms limits drift and improves reliable mobile self-positioning.

Priority item selection replaces complex manual route settings, helping autonomous work vehicles generate suitable paths faster with fewer input errors.

Waypoint candidates are iteratively evaluated and updated to balance path smoothness with obstacle avoidance in complex aerocraft routing.

By comparing nearby vehicles under equivalent flow conditions, this case cuts speed testing time while improving relative performance estimates.

Risk-based UAV flight plan analysis automates approve, deny, or refer decisions to cut controller workload and speed safe airspace access.

Common flight segments are matched so a trailing aircraft can use wake surfing, cutting fuel burn while easing coordination complexity.

Navigation graphs and mobile marker recognition enable accurate indoor routing with real-time updates, without GPS, WiFi, or static signs.

Rectangle-based crop row estimation lets a work vehicle calculate position and direction deviation for accurate travel between bending rows.

Image capture and indoor positioning link each mobile unit to the correct processing plan, reducing part assignment errors in manufacturing halls.

Adaptive cell subdivision builds an occupancy map that captures obstacle boundaries while reducing computation for safer urban UAV routing.

Automatic shore arrival uses environment data to guide a boat to target position, then yields instantly when the operator takes control.

Validated map updates let indoor robots localize through layout changes, avoiding wrong object matches and collision-prone pose errors.

A calculated deselection point lets pilots leave selected speed and return to the managed profile while still meeting waypoint RTA constraints.