Instruments For Road Network Navigation TRIZ Cases

Segmenting map data into smaller regions reduces transmission volume and cost while maintaining route completeness for navigation devices.

A navigation controller calculates visit probabilities from driving patterns to recommend personalized destinations.

Trip planning system coordinates public and ordered transport legs via real-time vehicle tracking, rescheduling rides when transit delays occur.

A vehicle roof serves as a landing pad for delivery drones to extend flight range while vehicles continue original routes.

Image display apparatus receives location data from external devices to output synchronized map screens for navigation.

A vehicle system ranks gas stations by total cost using fuel amount, tank volume, and price data.

A head-up display projects a virtual image with a segmented reference pattern onto a windshield to establish visual depth cues for the driver.

An automatic driving device selects travel routes by calculating the ratio of automated vehicles to total traffic on candidate paths.

Dynamic wavelength adjustment and feedback tracking maintain image accuracy on curved glass, preventing road obstruction while ensuring clear guidance.

Ranking ambiguous location candidates by precomputed distance eliminates user selection steps and reduces interaction time.

Centralized system ranks autonomous vehicles by energy needs and directs them to stations.

A travel route interface generates paths by accepting specified transit time constraints alongside origin and destination inputs.

An interactive compass control rotates map views and switches between two-dimensional and three-dimensional presentations.

Display system dynamically highlights critical transport data using visual prominence changes to capture immediate attention.

Navigation system classifies route sections by degradation risk to select optimal paths, extending fuel cell durability while balancing travel efficiency.

Route determination weights road curvature against travel time, balancing efficiency with the recreational value of curvy paths.

Automatic calibration corrects sensor installation errors without external equipment, improving positioning accuracy.

Mobile device tracks vehicle location and compares it against an expected path to detect route deviations.

Probe velocity analysis validates inland water barrier crossings in digital maps by distinguishing bridges, ferries, and tunnels through speed thresholds.

A mobile device uses pre-computed satellite visibility masks to estimate location based on observed signal patterns.

A navigation device weights road candidates by name and distance to stabilize vehicle position marks.

A delivery route optimization system resequences multiple stops simultaneously to generate updated paths.

A vehicle positioning system adjusts lateral placement to restore sensor visibility of adjacent lanes around occluding obstacles.

A cursor locking mechanism constrains navigation interaction to specific path segments using boundary rectangles and proximity thresholds.

Processor generates digital user location relative to non-user entities using device camera images, resolving GPS inaccuracies in urban canyons.

A navigation device estimates vehicle fuel consumption using geometric parameters and travel patterns to identify efficient routes.

Information processing device executes parallel response processing for map tiles to extract planimetric features and calculate geographic reachability.

Associates captured landmark images with vehicle position and angle data to resolve recognition precision issues caused by varying imaging angles.

Mobile device system shares location data to provide turn-by-turn directions to a moving leader vehicle.

Segmented urban data analysis resolves arbitrary destination designation, reducing fuel consumption and mission time for environmental control vehicles.

An optical observation device integrates a target acquisition module and external display screen for navigation data.

Machine learning models automate trip plan generation and route optimization, reducing manual planning time and improving client engagement efficiency.

Warning light control unit activates brake lights before actual deceleration begins to alert following drivers.

A sensor fusion module processes radar and LIDAR data to calculate traffic metrics and recommend preferred travel lanes.

A vehicle head-up display adjusts image sharpness and brightness based on detected driver pupil size.

A photograph selection system classifies geographic features and computes relevancy scores from usage data to retrieve visually appealing destination images.

Traveling control unit ends automatic deceleration before low speeds to maintain vehicle position accuracy.

A map providing system selects update points by comparing stored maps to request latest data from a server.

A driver assistance system uses a stationary vehicle as a landmark for localization on a digital map.

A computer-implemented method generates a point cloud from geographic imagery data and filters data points based on distance from camera perspectives.

A provider unit combines satellite and vehicle sensor data with surroundings information to generate an accurate ADAS horizon.

Matching radar detection points with static landmark maps filters noise and determines accurate vehicle position without GPS signals.

A recording control apparatus adjusts video capture windows based on vehicle position relative to road intersections.

Web-based geographic information system aggregates diverse data sources to provide actionable business intelligence and strategic market insights.

A route calculation device determines candidate points for branching off a first avoidance route to a second avoidance route based on vehicle speed and yaw rate.

A processing system determines traffic checkpoint positions by matching vehicle trajectories with map data to identify intersection points.

Segmenting roadway data into specific lanes resolves GPS positioning errors, enabling accurate lane distinction for real-time traffic prediction.

Binding a terminal to a mobile device allocates data service costs automatically, eliminating cumbersome manual payment entry.

A terminal uses server-provided local map data to convert coarse global coordinates into precise local positions.

A vehicle navigation module generates optimized travel routes by processing real-time fuel status and sensor data.