Instruments For Road Network Navigation TRIZ Cases

A bloom filter encodes route segment identifiers to enable accurate navigation decoding across different digital map versions.

A path point reduction method retains waypoints near decision points while eliminating distant points to maintain route fidelity.

Navigation system arranges graphical elements to minimize overlap between geographical and non-geographical fields.

A dynamic transportation matching system determines near and far street sides to map driving routes that traverse the selected side.

A GPS error correction method compares three-dimensional HD-maps to calculate precise position values.

A path planning method calculates working and connecting trajectories for autonomous vehicles using direction and angle parameters.

Pre-rendered map tiles resolve data transmission inefficiencies by eliminating real-time image generation.

A mesh network of Bluetooth detection nodes anonymously tracks vehicle MAC addresses to measure speed and direction across a city grid.

Vehicle computer expands charging station search radius when battery drops below threshold to resolve range anxiety.

A control portion displays example phrase images on a touch panel to guide voice command input in an in-vehicle device.

Analyzes mobile geo-location paths to propose transit points near popular destinations, reducing congestion and wait times.

Processor matches object location data to laser samples, correcting relative positional errors between mobile mapping and aerial image sources.

A planning circuit generates a lane graph from map data to select optimal vehicle trajectories.

Adjusts pixel color values in heat maps to smooth boundary characteristics, resolving misrepresentation of service request distribution at region edges.

Operation server calculates total travel time to determine optimal get-on and off places for ridesharing requests.

A terminal detects bus stops using horizontal acceleration data and location clustering.

Navigation system commands turn signals to activate automatically, eliminating driver forgetfulness and ensuring consistent maneuver signaling.

A parking assist apparatus dynamically adjusts recommended space displays based on detected obstacles.

A false positive profile filters camera data to ignore known error zones, resolving road link association inaccuracies.

A grid-based map updates vehicle position using odometric data to detect light-dark transitions for accurate lane course determination.

A map data system corrects position coordinates using vehicle-detected deviations and reference points.

A vehicle trajectory determination method segments continuous paths into discrete grid cells to calculate kinematic profiles and collision probabilities.

Segmenting map image data into mesh-by-mesh and external landmark regions reduces generation time while preventing RAM capacity overflow.

Processor compares vehicle coordinates against geo-fence sets to identify relevant points of interest.

Navigation maps correct indoor location drift by detecting structural features through inertial tracking, Wi-Fi, magnetic, and acoustic signals.

A navigation system uses a virtual zero-length dummy link to calculate routes to intersection destinations.

A map projection system adjusts sensor readings using distance-based distortion factors to correct coordinate translation errors.

Electronic apparatus overlays user input images onto reference maps using automated feature point matching and positional transformation.

A mobile computing device determines routes based on network condition data to maintain connectivity.

A server device manages group driving routes by transmitting reset destinations to vehicles upon arrival at the first stop.

A virtual lane guidance system corrects vehicle pose using contour detection sensors and reference data.

Segmenting image data by lane isolates relevant regions, reducing processing complexity while maintaining accurate object detection in autonomous vehicles.

A ridesharing simulation platform evaluates virtual vehicle performance across defined geographical zones.

A windshield projection system overlays driving assistance data within the driver's visual field using sensor inputs.

An in-vehicle electronic control unit detects own vehicle movement while stopped to determine positioning calculation strategy.

Cloud servers process real-time data to estimate penetration rates, enabling drivers to select routes with higher connectivity awareness.

AIS data clustering generates ship course networks to recommend routes that reduce fuel consumption and installation costs.

A computer device generates an energy-efficient track by determining speed profiles and comparing them with lead vehicle data.

A vehicle navigation system selects optimal routes by calculating travel time to destinations through available charging stations.

An information processing device extracts autonomously drivable sections from a vehicle's travel route to identify the segment with the longest continuous driving time.

AI performs setpoint-actual comparisons of vehicle environment images to detect sensor impairments like dust or water, ensuring reliable autonomous operation.

A switch module connects accessory devices to vehicle computing systems via active low design.

Driving control apparatus adjusts predetermined area size for automated lane changes.

A vehicle position estimation device retains target position data near turning points to match map information for accurate location tracking.

Navigation system guides electric vehicles to charging piles using real-time stored electricity data.

A BIOS-level override switch bypasses high-level software to safely stop the vehicle, alert surrounding traffic, and unlock doors during system failures.

A navigation device searches for routes considering HOV lane usability to calculate predicted arrival times and fuel efficiency.

A diagnosis device identifies anomalies in autonomous vehicle navigation parameters and generates quality values for a trained AI model.