Instruments For Road Network Navigation TRIZ Cases

An autonomous driving assistance system creates optimal lane change routes by prioritizing avoidance paths for detected obstructive factors.

Segmenting route evaluation into coarse and fine networks reduces computational complexity while maintaining optimization accuracy.

Incremental write constraints in primary memory paired with encrypted reference storage detect unauthorized odometer manipulation.

Segmented path scoring identifies originators within a threshold distance to improve prediction accuracy without increasing computational complexity.

A semi-autonomous navigation system detects spatial or temporal deviations from a prescribed route and guides the object back using predefined strictness criteria.

Smartphones detect escape route usability and position to guide occupants, resolving static system bottlenecks.

A predicting device segments road links by average vehicle speed to simulate transitions and calculate electricity consumption rates.

A map navigation tool renders a dynamic destination icon that rotates to indicate direction toward the end location.

A vehicle system calculates estimated arrival and preparation times to place orders within a grace period.

A feature-based navigation map generation system extracts road geometry using vehicle cameras to create detailed path data for autonomous driving.

NPR rendering techniques simplify 3D map visualization, reducing computational load while preserving essential landmark details for accurate driver orientation.

Bluetooth detection systems identify passengers in vehicles to calculate journey distances, automating financial compensation while reducing coordination time.

Information processing device estimates parking lot areas by analyzing position data from multiple movable bodies in out-of-road zones.

A navigation system generates system-initiated inquiries by detecting trigger events from context information without user input.

Navigation system calculates angle between heading vector and segment vectors to resolve localization errors caused by gyroscope miscalibration at road splits.

An in-vehicle device segments a navigation map into grid areas to determine the closest area containing the travel route for accurate weather display.

Segment signatures from surface images enable accurate geolocation without external signals, reducing latency and resource consumption.

Navigation method segments routes by historical network quality data, selecting optimal connections to resolve reliability and switching time trade-offs.

Multi-axis magnetic compass processes yaw and pitch rotational data to determine vehicle inclination without adding accelerometer circuitry.

System updates map accuracy by comparing recorded environmental information against stored data, resolving localization errors in rarely traveled areas.

A vehicle navigation system uses speech recognition to generate text messages from voice inputs.

A system extracts practical tips from free-text reviews using natural language processing and associates them with semantic categories.

A portable device uses a camera system to capture surroundings and provide visual alerts for hands-free operation.

Central server relays real-time navigation and health data between vehicles, resolving driver safety risks from phone use during road trips.

Multi-resolution routing generates high-quality off-road paths by refining coarse routes at higher zoom levels, reducing memory usage and computation time.

Detecting navigation markers enables autonomous balance car travel, eliminating manual dragging and reducing physical effort.

Grouped optimization synchronizes neighboring high definition map tiles by independently processing boundary features.

A vehicle parking display system retrieves location-specific parking data and renders symbols on a graphical interface to guide drivers.

A drive-pattern evaluation device generates energy-saving drive patterns and estimates consumption to assess actual driving efficiency.

A lane-level route optimizer evaluates microsimulated vehicle trajectories to determine precise navigation maneuvers.

Dynamic route corridors expand in urban canyons to minimize multipath errors and reduce false off-route notifications.

Segmenting the visual localization map into spatial sub-maps reduces memory overhead and loading time.

A server extracts route-specific traffic data to minimize mobile device storage and processing requirements.

A navigation device adjusts its camera detection range based on detected road elements to identify lane changes accurately.

Feature extraction from aerial imagery generates detailed parking maps, eliminating time consuming vehicle driven data collection.

A portable terminal uses a motion sensor to activate GPS only during movement.

A display system estimates mobile object attitude using vanishing points derived from optical flows.

A transportation service information system specifies special facilities for partial route segments to provide alternative travel options.

Client devices in moving vehicles automatically capture location, image, and noise data for incident reporting.

A driver action prediction system uses a deep bidirectional recurrent neural network to fuse temporal sensor data for accurate behavior anticipation.

A navigation device displays alphanumeric completion suggestions in close proximity to selected characters on its screen.

Gesture detection maps hand movements to viewpoint changes, resolving the conflict between intuitive navigation and complex control mechanisms.

Driving support system calculates right-turn entry percentages to set dynamic facility entry difficulty levels for accurate route guidance.

SoftV2X server generates a VRU path map from collected moving paths and transmitted node information.

A video-based navigation system projects a calibrated guidance arrow onto the real-world view, resolving driver confusion at complex intersections.

Segmenting the route into discrete search points reduces quadratic hit growth while maintaining precise proximity calculations.

Server system integrates sensor data into a location-based database for user search.

Dynamic tile loading reduces memory consumption and computational burden while maintaining high route optimization accuracy.

An information presenting device adjusts selection options based on calculated margin time for autonomous vehicle occupants.