Navigational Calculation Instruments TRIZ Cases

A positioning system uses magnetic field measurements from a transmitter coil to determine receiver location without external infrastructure.

A touch display interface manages multiple information sources through dynamic application activation and screen segmentation.

A moving means determination device uses scoring tables to identify user routes from position logs.

Grid overlays transform open area images into routable maps, resolving navigation inefficiency in unconstrained spaces.

A ground prediction device calculates aircraft position precision and integrity using a model consistent with onboard systems.

Segmenting static topology from dynamic sensor data resolves the contradiction between data completeness and access efficiency.

Visible light tiling defines a reference frame for accurate indoor positioning, eliminating signal blocking from building construction.

Unmanned aerial vehicles traverse hazardous locations to capture complete radio coverage data, resolving safety and accessibility bottlenecks.

A spray drift system identifies sensitive areas using GPS data to adjust droplet size and boom height for precise application.

A controller divides indoor space into semantic units to index moving objects for efficient location tracking.

A position verification device compares satellite estimates with sensor data to validate vehicle location accuracy.

An unmanned vehicle system detects spoofed GPS data by comparing it with locally generated image data, ensuring reliable autonomous navigation.

A central system automatically requests elevators based on computed user routes to reduce waiting time.

A data capture system acquires texture and geometry using synchronized LIDAR, visual odometry, and panoramic imaging sensors.

Insulating spacers isolate fixed stations from surrounding structures, minimizing multipathing effects for accurate indoor positioning.

RF signal strength estimation guides mobile users through facility waypoints, reducing navigation time and maintenance errors in large enterprise environments.

Kalman filtering processes sensor data to resolve measurement precision versus system complexity.

A monitoring system detects network communications to determine physical device locations and guides users through a user interface.

A route management device calculates optimal patrol paths using artificial intelligence algorithms and real-time data integration.

Frequency transform compresses magnetic flux density data, reducing storage and bandwidth while maintaining positioning accuracy.

A dual-antenna inertial navigation system calculates differential distances to update Kalman filters for precise position estimation.

A wearable sensor assembly fuses IMU and RF radar data to generate path-based maps.

Hierarchical geohash grids pre-compute parent cell paths to resolve dynamic indoor navigation bottlenecks.

An inertial device estimates position using a traveling direction estimator and absolute position information acquirer.

A route notification system estimates user travel paths to identify proximate sensors within an instant messaging network.

Vehicles create local maps using sensors and transfer them to mobile devices, enabling offline navigation in areas lacking satellite signals.

A vector map restricts user motion to defined paths for one-dimensional position estimation using existing sensors.

A navigation module integrates delayed GNSS data with high-rate INS sensor readings using a processor for continuous positioning.

A navigation system resets position estimates using map-based context matching to bound error growth.

Map application assigns orientations to images based on photographer direction and renders them dynamically, resolving static display limitations.

A wireless device measures local magnetic fields and reports data to a network node that builds a spatial mapping database.

A location and activity recommendation service constructs matrices to represent relationships between locations and activities by detecting GPS stay points.

FFT and zero crossing detection refine 3-D accelerometer signals, resolving accuracy versus power trade-offs via dynamic sampling.