Navigational Calculation Instruments TRIZ Cases

Segmented receiver gain offset estimation reduces computational complexity while maintaining measurement precision for accurate indoor positioning.

Independent inertial measurement unit filters calculate position estimates without reinjection to detect defective units while maintaining optimal accuracy.

Deconvolution methods sharpen noisy GPS probe data into multi-modal histograms, resolving measurement precision issues for reliable pedestrian navigation.

A risk analysis system estimates event onset risks to predict future medical expenses using subject data.

A network data generation device creates indoor map links and nodes from spatial structure input.

Grid-based angular analysis differentiates collision avoidance from standard navigation, resolving false positive detection in unrestricted waters.

Environmental sensors detect stationary objects as external anchors, improving position data reliability when GPS signals are weak.

A retail analytics system determines detailed shopper routes by integrating location signals with map data and transaction records.

Mobile device sensor data identifies customer arrival times at merchant locations for accurate wait time calculation.

A prediction model verifies device posture and acceleration data to determine mobile carrier motion states, resolving location drift in GPS-shielded areas.

A situational awareness personal service correlates diverse data records to generate tailored information for subscribers.

A flight management system calculates aircraft trajectories using spherical globe representations and angular deviation inputs.

Repository devices transmit encoded position assistance data to mobile stations.

A mobile device inertial measurement unit estimates relative attitude to translate sensor data into vehicle coordinates.

A collision detection system uses geometric contours to identify obstacles along automatic parking paths.

A venue data service system generates location fingerprint data from sensor readings to determine mobile device positions indoors.

Mobile devices share navigation parameters from nearby sensors to determine position, resolving indoor positioning challenges where GPS signals are unavailable.

Emergency response computer program calculates evacuation routes from real-time sensor streams to direct occupants away from fire hazards.

A building server detects mobile device location to transmit relevant service provider information.

A wearable laser navigation system detects obstacles by calculating firing angles from head tilt and rotation data.

A motorized cane steers users around obstacles using a servo-controlled guide wheel and integrated sensors.

User devices compute distances to reference points and transmit zone identifiers, preventing service providers from accessing explicit location data.

A mobile photodetector detects visible light communication identifiers along a route to update an indoor positioning database.

A traveling route generating device combines home harbor paths with auto routes to navigate ships through complex port topographies.

Ambient pressure data from Bluetooth beacons enables mobile devices to determine location without manual surveying.

Computer vision algorithms identify retail products to resolve GPS signal loss and enable accurate in-store navigation.

Computes aerial routes through 3D space using pre-calculated collision probabilities for volumetric shapes.

Smart hubs modulate connected IoT lights to broadcast flickering signals, enabling accurate property identification without dedicated infrastructure.

A processing system detects incomplete radio models by comparing individual node coverage areas against cumulative data set metrics.

A microantenna array using Josephson Junctions detects PULSAR radiation pulses for terrestrial positioning.

Ambient sensors gather contextual data to determine location changes, reducing reliance on GPS and conserving power.

A portable device determines position and orientation using movement sensors.

Autonomous behaviors simplify remote vehicle control by processing sensor data to execute navigation commands without continuous operator intervention.

A route editing assistance device accepts position information for original and edited waypoints to generate simultaneous display data on a user interface.

Navigation system generates travel routes using single pass clustering based template generation mechanism.

A vehicle positioning system fuses inter-vehicular communication data with satellite coordinates to estimate location.

Sensor fusion enables a robotic wheelchair to navigate autonomously, reducing operator time and labor costs.

A coordinated trajectory planning component detects tracking errors and determines alternative movement paths for synchronized operations.

A mobile device calculates its location using a movement sensor and a magnetic field proximity sensor to detect reference beacons.

A beacon managing system identifies location errors using terminal movement information to update topographical data.

Interactive control points update aerial trajectory patterns, reducing pilot workload during air-drop missions.

Network system matches client Wi-Fi signatures against a reference database to determine user location.

Map server updates indoor navigation data via location context identifiers to resolve satellite signal loss in buildings.

A navigation system calculates routes to designated meeting points within large venues.

A Kalman filter updates a state vector with position bias to estimate navigation errors and covariance in hybrid inertial systems.

Autonomous beacons transmit route identifiers to mobile clients for wireless navigation guidance without central infrastructure.

A location recommendation system uses access point fingerprints to detect indoor positions without pre-constructed infrastructure.

Visual landmark matching resolves indoor location granularity gaps where GPS signals fail, distinguishing adjacent rooms and floors.

A position detection system combines inertial movement history with distance sensor data to determine mobile body location.