Instruments For Road Network Navigation TRIZ Cases

Centralized fleet planning uses vehicle status, delivery routes, and charger reservations to cut wasteful travel and charging congestion.

Projects a reference line beside the lane boundary in the driver's view to guide lane changes with less cognitive load and HUD space.

Dynamic weighting of LIDAR, radar, cameras, and ultrasonic data improves hazard detection in bad weather while reducing unnecessary braking.

When a user leaves the vehicle, playback category decides whether streamed audio stays in-car or returns to the phone, preserving continuity and privacy.

Selects routes and driving styles using sway, surge, and heave motion sickness values to improve passenger comfort in autonomous travel.

Dynamic seat motion and vital-sign sensing replicate real car travel to assess infant cardiorespiratory stability more predictively.

Camera image recognition combined with vector maps improves lane-level vehicle positioning while avoiding costly lidar and point cloud maps.

Real-time object warning images show nearby vehicles and obstacles by type, proximity, and position to improve passenger awareness in autonomous driving.

Routes EVs by remaining battery and road-side wireless charging capability to cut cable charging stops and improve trip completion.

A vehicle HUD projects priority images as distant virtual images while shifting normal information to reduce eye strain and improve recognition.

Outcome-weighted disengagement categories and road-segment weighting improve autonomous vehicle safety evaluation beyond miles per intervention.

Vehicle event data from onboard sensors characterizes route difficulty and driver behavior to improve driver-route assignment, safety, and fuel use.

When map-based guidance ends ahead of the vehicle, a secondary path from surrounding data enables smooth switching and stable travel.

An AR head-up display projects a reference line beside the lane boundary, guiding lane changes without gaze diversion or a large display footprint.

Driver style coefficients reshape the track-planning cost function on a 3D spatial-temporal map to reduce automatic driving adaptation time.

Predicted latency and throughput at future route positions help choose the path with stronger network QoS for connected vehicles.

Distinct vibration direction and frequency at each bicycle grip improve haptic navigation and warning cues despite road-induced handlebar vibration.

Sensor-based cost reasoning lets an autonomous vehicle slow early for better occluded pullover spots, improving comfort and signaling intent.

When a carried small vehicle is detected, route planning can split the trip at a transfer point to cut time, emissions, and cost.

A flywheel shaft through-passage lets sealed CMG cooling cavities be filled and inspected more easily, improving bearing cooling reliability.

Route sections are corrected to perceptible distances so drivers can better follow automatic parking motion while preserving control accuracy.

Modified Bowring conversion with segment-specific constants keeps vehicle path coordinates accurate across long distances and zone boundaries.

Calibrated utility functions and a modified Nash equilibrium improve multi-agent path prediction for real-time vehicle routing in traffic.

Precomputed partial words and phonetic transcriptions enable fast, accurate voice feedback for incomplete handwritten vehicle inputs.

Predicts route communication quality and traffic conditions to switch interaction modes and keep in-vehicle calls stable.

Mobile sensors combine driving behavior analysis with crash thresholds to predict accidents, detect impacts, and support reconstruction.

Real-time server recalculation adapts EV charging plans to load and elevation changes, reducing charging delays and route inefficiency.

RTK-corrected GPS and continuous wheel rotation help turf equipment hold tight parallel paths while avoiding pivot damage to grass.

Cost and constraint optimization generates realistic adversarial road-user trajectories for critical ADAS and autonomous driving validation.

Timed exposure plus an ND-filtered camera improves capture of flickering brake lights and LED signals for more reliable autonomous driving.

3D AR HUD content is reshaped and repositioned by viewpoint and distance to preserve depth cues and avoid overlap with real-world driving scenes.

Curated map features and roadgraph data infer building access points for autonomous vehicle pickup or drop-off with shorter user walks.

Camera-based lane type classification helps autonomous vehicles handle merges and splits by adjusting path and speed to nearby vehicles.

Routes EV trips using battery health, driving habits, station availability, and live reservation changes to cut delays and charging risk.

Calibration-aware route planning lets AV sensors recalibrate during normal driving, reducing downtime while maintaining mapping and perception.

Seat direction and self-driving status are used to limit sounds, wiper activity, brightness, and voice output for a quieter cabin.

Camera-based road segment extraction preserves navigation accuracy while cutting map storage and processing load for autonomous vehicles.

Audio and video cabin sensing triggers pre-set actions such as rerouting or emergency contact to address passenger distress in real time.

Responds to cabin events, external human signals, and location indicators to reroute, adjust the cabin, and improve autonomous vehicle safety.

Matching rider driving skill with vehicle deviation risk avoids unnecessary autonomous-vehicle stops and preserves transport efficiency.

Dynamic acceptance ranges help reject faulty camera-based positions and improve vehicle localization during turns, intersections, and lane changes.

Using multiple front-object positions within a continuous near-vehicle range improves trajectory generation accuracy, especially on sharp curves.

Distributed stations use sensors and central coordination to deliver charging, diagnostics, calibration, and emergency maintenance with less downtime.

Only meaningful state changes trigger alerts in this vehicle-based monitoring approach, reducing user checks while preserving monitoring completeness.

Separating road traffic alerts from other notices avoids overlay confusion on limited vehicle displays while preserving clear, meaningful information.

Point group maps and movement estimation improve vehicle self-positioning in automated parking when available map data is limited.

Identifies uncertain ADS driving policy parameters and maps them to suitable locations for targeted observation, reducing safety proof effort.

Real-time vehicle and map data are used to choose resupply meeting points, reducing docking delays and keeping mobile hydrogen refuelling active.

Dynamic map scaling shows the current turn clearly while preserving visibility of the next intersection to reduce delayed driver preparation.

Pre-stored electronic horizon data lets vehicles start without waiting for HD map downloads, while dynamic updates keep navigation data current.

A rear-view mirror camera detects driver drowsiness through infrared thermal imaging and facial recognition.

Segmenting maps into tiles with preliminary action reduces computational power while storing popularity scores for efficient retrieval.

An unmanned delivery system uses a central management center to select vehicles and collection points based on inventory status.

A mobile computing device filters broadcast messages by intersecting its projected route with geographic regions.

A mono-camera navigation system tracks traffic signs across image frames to generate global coordinates for map display.

A coupled ambiguity function merges spatial analysis with delay-distance and Doppler kinematic processing to determine impulse response parameters.

TurnsMap classifies left-turn protection settings using smartphone sensors, resolving fragmented traffic data updates.

Integrates geo-analytical software into CRM platforms to plot real-time device markers on map-based interfaces.

A multimode driver assistance interface merges touch, gesture, and voice inputs into a unified control system.

A panorama viewer renders a three-dimensional overlay that changes orientation in three-dimensional space to match the panoramic image viewport.

A processing system merges cross-contaminated geographic regions to isolate user exposure data.

A local hazard warning polygon quality score correlates probe data with independent weather map points.

A travel planning system scores itineraries using weighted friend preference data to present personalized options.

A battery consumption prediction device segments vehicle state and environmental data to estimate electric vehicle energy usage.

Adapting map data using object features as reference frames corrects vehicle trajectory shifts for accurate lane-specific positioning.

Central server filters and prioritizes conveyance service requests to resolve manual analysis bottlenecks.

Certifying map elements via control units prevents hazardous traffic situations caused by inaccurate digital maps in automated driving.

Forward and reverse searches converge at an initial encounter node, avoiding exponential expansion of intermediate nodes that plagues standard Floyd algorithms.

Difference map tiles specify changes to base map data, eliminating redundant transmission during view switching.

A computerized system detects user pre-travel stages using mobile device acceleration readings and location data to identify potential ride-sharing partners.

A lane selecting device calculates recommendation degrees for individual road lanes using map database information and vehicle position data.

A lateral control apparatus measures current and predicted offsets of adjacent vehicles to generate a stable lane keeping route.

A route planning system assigns attractiveness measures to road sections for aesthetic navigation.

A head-up display superposes a grid of distance markers onto the driver's field of view to support longitudinal vehicle control.

Vehicle LIDAR systems estimate the ground plane from 3D scans to detect clear paths, reducing computational load by avoiding object classification.

An information processing device selects facilities for replacing energy supply units in driving devices based on device-related information.

A sensor output correction apparatus updates zero-point values using yaw rate data collected during straight road travel.

A mobile proximity detector calculates relative velocity and position to alert users of approaching objects.

An electronic device transmits control signals to home appliances based on estimated arrival time at a destination.

Proportional indicator spacing replaces textual data, resolving the contradiction between precise distance measurement and user distraction.

A navigation system generates time-compressed video previews of routes using street-level imagery.

A server extracts candidate exercise routes from satellite images and clusters them using shape and environmental characteristics.

A scalable reference path generator creates stable navigation lines for autonomous vehicles using historical trajectory data.

A vehicle localization server compares 3D acceleration data from mobile device accelerometers against predefined bump signatures to determine position.

Virtual area simulator creates gaming environment to identify optimal routes through disaster zones with damaged infrastructure.

A calculation unit determines reachable points for electric vehicles using a traffic flow simulator and road network model.

A client-side map generation apparatus converts geographic coordinates to pixel positions using a browser canvas for on-demand rendering.

A destination selection system resizes interface icons based on real-time position data and user preferences to streamline travel planning.

A map generation system calculates route information differences to verify temporary map quality in assisted driving applications.

Crowd routing scheduling algorithms generate dynamic itineraries to mitigate congestion risks.

A wearable smart band uses GPS coordinates and LED directional windows to provide navigational guidance between tracking devices.

A context-aware framework connects user devices to transportation and retail subsystems to deliver a unified service platform.

Dynamic zoom adjusts to POI density and travel time, eliminating manual adjustments for rural or urban areas.