Instruments For Road Network Navigation TRIZ Cases

Aerial drones gather terrain data for offroad vehicles to compute optimal routes using sensor fusion.

A segmented autonomous mobile system localizes position by matching stationary objects against pre-stored map data.

A navigation system displays ground objects at intersections to help drivers identify upcoming turns.

A route planning system uses IoT sensors to dynamically adjust paths for opportunistic searching while progressing toward primary objectives.

A map display generates and downloads directions to a mobile device.

A position estimation device creates virtual images and applies dynamic weights to comparison errors based on environmental detection.

Controller calculates driving routes including gas stations based on distance to empty and navigation data.

A measurement device calculates positional reliability from LiDAR point group data to estimate vehicle position.

A low-capacity 2D normal distribution transform map compresses 3D point cloud data to reduce computational load and improve scalability of driving areas.

A dynamic position reporting scheme adjusts transmission parameters based on time, distance, and events to track mobile device movement.

Embedded countdown bar within turn icon reduces driver distraction by replacing complex color map displays with simple sequential visual cues.

A vehicle system integrates camera, lidar, and radar data through a fusion controller to build validated road line models.

A map system selects geographic location sets from a hierarchy based on zoom level to display appropriate detail.

A road segment safety rating system calculates risk using historical accident data and real-time driving behavior metrics.

A vehicle control system applies specific control rules to road sections based on map data and sensor inputs.

A camera-based vehicle control system analyzes image information to detect road conditions and modify navigation routes automatically.

Vehicles process onboard sensor data to update maps, resolving centralized processing bottlenecks.

A navigation system adjusts turn instruction distance using map data.

System detects available capacity to insert loads while verifying alternative routes before deleting schedules, maintaining network reliability.

An autonomous vehicle locates passengers by matching device images against references, resolving GPS precision limits in crowded urban areas.

A system processes 3D laser point cloud data to render grid images and identify traffic information for map generation.

Central platform verifies GNSS position data integrity using autonomous algorithms and satellite services to guarantee error boundaries.

A failure countermeasure update unit modifies stored response tables based on real-time vehicle traveling environment changes.

A processing unit estimates vehicle position by generating local periphery information from sensor data and point cloud coordinates.

A traffic prediction system filters vehicle position data on a directed graph to determine accurate road segment travel times.

Electronic device transitions virtual object visual states based on viewpoint movement exceeding a threshold.

A vehicle hub groups connection slots by category to match passengers with tailored transport resources.

A method generates altitude correction signals by identifying on-ground data points to reconcile recorded vehicle paths with terrain models.

A robot path planning system selects precomputed trajectories between reference positioning points to navigate without real-time calculation.

Height-encoded lines resolve poor color resolution by mapping stopped versus moving probabilities to visual elevation.

An on-vehicle radar device extracts blind spot objects using FMCW sensing and mechanical orientation to direct waves.

Augmented reality navigation guidance overlays visual cues on camera feeds to resolve user experience bottlenecks in autonomous ride-hailing drop-off scenarios.

A GNSS device control system periodically activates the receiver to acquire position data while deactivating it during stable travel.

Multi-point virtual towing segments trailer paths among multiple tractors, resolving path consistency issues across varied origins and destinations.

A vehicle system selects a reference point offset from its current location to request nearby points of interest data.

A localization system dynamically generates new detector modules from descriptor information to recognize previously unknown landmark types.

A navigation apparatus updates its map database by detecting when vehicle coordinates deviate from stored roads beyond a set distance.

A mobile refueling platform dispatches vendor vehicles to user locations for on-demand power replenishment.

A portable navigation module combines GPS and inertial sensors to generate continuous positioning data.

Switching to 3D map display resolves loss of information about destination surroundings while maintaining simple route guidance.

Fourier transformation converts spatial roadway properties into spectral distributions, reducing data volume while preserving measurement precision.

An autonomous driving assistance system specifies a planned route by analyzing lane marking line types and connection types.

An information server clusters address data to prevent individual identification while preserving distribution patterns.

Bidirectional location sharing between calendar and map applications pre-fills event fields with map suggestions, eliminating manual entry requirements.

A navigation system calculates travel time by combining base time from road databases with incremental time derived from specific travel features.

A navigation apparatus sets display flags for facility names to highlight searched locations on map images.

A computer system calculates passenger route deviation from a predicted path and triggers alerts when thresholds are exceeded.

External sensors detect mobile objects and transmit position data to vehicles, reducing collision risks during autonomous parking maneuvers.

A communication system adjusts pickup times and routes based on real-time location updates.

Path projection component broadcasts drive history attributes over a controller area network bus to multiple vehicle controllers.