Instruments For Road Network Navigation TRIZ Cases

A server and mobile application distribute travel incentives to shift departure times.

A multi-vehicle system generates map data by exchanging relative position and object shape measurements between autonomous units.

A map display system uses a pre-trained recommendation model to determine click probabilities for user themes based on historical interaction data.

A navigation device generates segmented visual outputs to display subject and surrounding vehicle positions on a map interface.

Prioritizing feature pairs reduces correction time for dynamic maps, resolving the trade-off between speed and accuracy in autonomous driving.

Terminal device extracts place information from text messages and transmits it to a navigation device for automatic destination setting.

Aggregated drive data determines route costs by evaluating lane marking quality and road curvature, ensuring consistent automated driving performance.

Dividing routes into segments and calculating closed polygon areas resolves coordinate noise while maintaining processing speed.

An active driving map system provides dynamic route feature data to vehicle control systems.

A vehicle position estimation apparatus detects painted lines to calculate lateral offsets within travel lanes.

A mobile system overlays search results onto camera views using geolocation data.

Routing clusters organize navigation data with flexible identifiers, reducing memory consumption caused by rigid global tiling schemes.

A mobile terminal shares position data to display a geographic map for intuitive direction guidance.

Map data server embeds indoor metadata with base map to enable quick display transitions, resolving delayed loading of multi-floor building information.

A navigation system selects and sequences visual map data packets based on display resolution, vehicle location, and assumed route.

A satellite-connected monitoring system tracks inventory stocks during transport.

Processor associates location data with contextual information and exports it in native formats, resolving overwhelming data volume issues.

Aligning 2D maps from coordinate scanners and portable devices identifies layout changes, reducing manual comparison time.

System assesses route data near contact regions to provide targeted rerouting instructions that prevent secondary collisions.

Projects vehicle position vectors onto road segment references to detect sign changes, resolving GNSS toll calculation errors near boundaries.

A dialect translation layer converts native speech into standard patterns for vehicle control commands.

Segmenting trajectory determination into corridor and path stages resolves the contradiction between calculation speed and actuator executability.

An adaptive vehicle operating device uses machine learning to dynamically adjust its menu structure based on observed driving situations.

A server analyzes GeoJSON-encoded trip data to determine route compliance against defined job parameters.

Navigation system compares GPS and inertial sensor positions to detect shaded areas, reducing navigation errors when signals drop.

A travel route calculation device measures necessary recognition distance to determine feature recognition difficulty and calculates routes avoiding difficult locations.

Mobile application detects brake events and station audio tones to determine vehicle position, enabling reliable navigation where GPS signals are blocked.

A vehicle parking system uses distance sensors and stored geometric data to identify specific empty spaces within a garage structure.

Modular architecture resolves complexity contradictions by integrating telemetry, costing, and payment modules for reliable real-time vessel tracking.

A Kalman filter adjusts gain weights between satellite and dead reckoning data based on real-time vehicle environment parameters.

Camera system overlays guide lines on real-time images to assist vehicle positioning for inductive charging.

Access terminal calculates refined position using horizontal angles between image keypoints, avoiding GPS multipath errors in urban environments.

A scheduling system segments trip requests into packets to generate candidate partial shifts for fleet vehicles.

A navigation system computes safety scores for road segments to identify safer routes.

Navigation display system extends autopilot routes via user inputs, resolving complexity bottlenecks that compromise safety information visibility.

Dynamic scan pattern modification prevents optical sensor saturation from bright light sources while preserving field of view coverage.

Segmenting prediction into independent driver, vehicle, and road factors resolves the trade-off between precision and system complexity in energy mapping.

Navigation systems resolve map version contradictions by detecting unmatched road segments, requesting targeted updates, and generating fresh hybrid routes.

Precomputing optimal path matrices using traffic windows reduces computer resource usage during complex routing problem solving.

A preference engine analyzes user inputs to identify preferred routes that avoid disfavored locations for navigation.

Trip planning system estimates arrival times and suggests stops based on traffic variations, resolving accuracy complexity trade-offs.

A driving support device estimates acceleration sensor bias using distance measurements from external objects.

A single image geographic positioning method uses camera calibration values to determine real-world coordinates from reference and object points.

A vehicle control system calculates sensor calibration factors using real-time navigation map data and status information.

A display system determines a culling area based on road width to convert object data for efficient rendering.

A vehicle control device sets an estimation line parallel to the drivable area borderline to classify detected landmarks based on their positional relationship.

A vehicle control system selects a feasible stopping place near a goal position using real-time sensor data and static map information.

An augmented reality system generates a virtual trail overlay aligned with the real-world scene on a mobile device camera display.

Coordinated connected vehicles cluster to synchronize displays and audio for targeted advertisement delivery.

A navigation system reproduces voice data associated with selected map icons to deliver detailed point of interest information.