Instruments For Road Network Navigation TRIZ Cases

A safety drive assist apparatus segments imaging and biometric inputs to determine occupant fatigue levels.

A map matching device determines vehicle position on a link using movement cost between candidate spots.

An investigation assist system extracts vehicle travel directions from multi-camera video feeds to generate precise escape routes.

A method generates 3D building representations using parameterized architectural features and prefabricated block templates.

Shutter glasses filter encoded visible light signals from road signs to display relevant navigation data.

Ranking drone corridors using probe data traffic metrics eliminates human bias in selection.

A vehicle control device adjusts parking speed and steering angle to manage the steering motor load.

A map display system arranges characters along road lines using directional transitions at segment joints.

Coordinate transformation merges navigation, sensor, and V2X position data into a unified surroundings model despite low data density.

A terminal connection device assigns input and output paths based on processing information priority levels.

A vehicle control system defines a tolerance region around the target trajectory to adjust actuator gradients for smoother motion.

A sidewalk network generation device detects centerline endpoints and corner points to create accurate link information.

Extended adjacency graphs model hybrid energy consumption to minimize fuel use while respecting battery state of charge constraints.

Map tile number indexing resolves keyword search inaccuracy by converting center point coordinates into spatial tiles for precise boundary retrieval.

Navigation system calculates alternative routes avoiding glare-prone areas identified by sun angle data, reducing visibility degradation.

Portable navigation device transmits user-entered qualitative location data to a remote server for map updates.

Terminal apparatus acquires radio communication conditions using multiple antennas to estimate vehicle position relative to a reference travel locus.

Information processing program generates routes via column generation to solve vehicle routing problems.

Hidden Markov models analyze probe data sequences to distinguish parked vehicles from congestion, enabling accurate routing decisions.

A service platform uses pedestrian dead reckoning to track passenger location status for drivers.

A mobile device processor generates personalized traffic event lists based on current location and stored route history.

Top view image matching overcomes GPS limitations by combining multi-sensor data with aerial references to achieve decimeter-level localization accuracy.

An error model correlates inertial and environmental sensor data to correct predicted vehicle positions, reducing positional errors in slow-moving situations.

Intelligent parking guidance system using image sensor nodes to detect vehicle presence and generate real-time availability data for drivers.

Learning-based tracking system estimates shuttle bus arrival times using real-time GPS data and historical behavior patterns.

A navigation apparatus acquires geographic information from a server to provide continuous route guidance.

A multi-tiered layered map uses cliff faces at travel ways to display information items without cluttering the horizontal surface.

An edge device determines car positions using visual fingerprints from sensor-rich vehicles.

A network-based navigation system replaces polygon regions in actual route imagery with virtual advertisements to create drive-thru presentations.

A mapping system predicts vehicle destinations by correlating real-time location data with historical travel patterns.

Electronic device switches operation modes based on location information changes, reducing time spent identifying unfamiliar pickup points.

A controller generates route information based on driver experience and delivery efficiency metrics to optimize stop positions.

Pre-configured vehicle profiles address traffic anomalies without increasing onboard computational requirements or bandwidth usage.

A navigation system calculates POI popularity using deviation values relative to local reference standards.

A driving support device plans coaching items based on planned route situations and driver skill levels.

A staging database filters false positives from preliminary classifications, enabling accurate model re-training despite scarce malicious trip data.

Segmented LIDAR processing extracts curb features to resolve detection accuracy versus computational complexity.

Route registration matches base map elements to tactical map lanes via geometric transformations, resolving discrepancies between differing map formats.

A navigation system automatically switches operation modes to maintain route guidance when mobile device connectivity fails.

A feature database system classifies semantic environmental data to support accurate route planning.

Routing determination system matches crew skills with outage repair types to reduce restoration time while managing complex resource allocation.

Adaptive contact-analog displays eliminate pressure to perform lane changes at fixed locations by maintaining continuous visibility of maneuver instructions.

A server-based vehicle control system determines an infrastructure cooperation section to transmit cooperative operation information for in-vehicle devices.

A positioning system fuses broadcast data with image recognition to determine vehicle location.

A hybrid inertial navigation system calculates the difference between Kalman filtered and pure inertial data to correct drift.

Aligning predefined common object 3D data with environmental images updates the SLAM map, maintaining tracking accuracy despite dynamic outdoor interference.

A ride-share system matches operator routes with user preferences to enable flexible carpooling.

Machine learning models predict door-step time via speed profiles, resolving route planning inaccuracies that cause resource underutilization.