Instruments For Road Network Navigation TRIZ Cases

Navigation-based speed control uses lane entry, speed limits, and curve arc length to avoid premature main-road deceleration at exits.

Only notifying drivers when timing, location, and battery state allow grid participation reduces burdensome EV power leveling prompts.

Lane-level speed analysis identifies congested sections and guides timely lane changes before forks or intersections to reduce violations and accidents.

Map-checked lane estimates let the controller start lane-change actions earlier when blurred markings may shift the detected lane position.

Opposite-lane maps shared by other vehicles are inverted to build current-lane white-line maps with lower processing load and faster generation.

Observed vehicle paths are consolidated into a representative trajectory to correct map drift from lane shifts and guide safe autonomous navigation.

Aerial imagery and vehicle telemetry are fused to map road edges and lane connections at intersections without relying on on-vehicle modules.

When a carriage porch PUDO zone is full, the vehicle shifts stopping or waiting positions to keep pick-up access without blocking traffic or walkers.

Fusing received HD maps with onboard sensor data enables low-latency, high-precision vehicle control despite bandwidth limits.

A vehicle HUD shifts the marker below a preceding vehicle based on line inclination, reducing overlap with traffic and road features.

On-board sensors and AI reroute an autonomous vehicle to healthcare facilities when health events occur, improving response time and travel safety.

A server predicts battery charge buildup on planned routes and recommends low-detour external discharge points to avoid wasting regenerated power.

Road-surface detection raises vehicle ground clearance before potholes or bumps, reducing underbody damage without sacrificing low-clearance handling.

Detailed kinematic modeling checks route and turn feasibility against roadgraphs and driving rules to avoid stuck maneuvers in autonomous trucks.

Pending-command state prediction lets a UGV issue steering commands for the expected execution state, reducing collisions and path deviation.

Map-based range perimeters and reachable public chargers help EV drivers visualize extended travel after recharging and plan routes more reliably.

Switching between roadgraph rules and zone-specific paths lets autonomous vehicles navigate off-street areas safely while avoiding obstacles.

Timed arrival and countdown notifications help autonomous vehicles verify passengers, avoid indefinite waiting, and keep pickup operations moving.

Real-time occupancy status and estimated charging speeds guide EV users to reserve stations with shorter waits and faster charging.

Shared energy storage and pricing control helps prosumers decide when to store, exchange, or sell surplus power with lower waste and cost.

Trajectory-to-lane-shape matching determines relative lanes between moving objects even when position or map accuracy is unknown.

Predicts V2L power use and time to minimum charge from selected loads, then recommends routes and charging levels for EV travel.

Sensor and location data detect vehicle arrival and parking availability automatically, reducing manual input, circling traffic, and phone use while driving.

A centralized outlet registry verifies location, availability, and characteristics so users can quickly find usable EV charging access.

Automatically sensed resource-saving actions are accumulated per user to enable priority access when power, bandwidth, or parking is needed.

Warped camera views let vehicles detect road features from an elevated perspective, cutting map storage and processing load for navigation.

Gradient-based road segmentation sets overlap-free constant-slope sections, keeping control parameters stable and reducing gear changes.

Altitude-based road segmentation extends constant-gradient sections, reducing control changes and gear shift shocks for smoother driving.

Altitude-derived gradient features define longer constant-gradient road segments, reducing gear shifts while keeping control parameters suitable.

Magnetic marker azimuth estimates feed back into gyro correction to offset time, temperature, and vibration-induced output drift.

Oncoming vehicle data is used to build opposite-lane maps in shared route sections, cutting return-path mapping time and workload.

Separating baseline traffic energy from driver-specific acceleration behavior cuts EV trip prediction error and improves charging planning.

Charging mode switches from usual to rapid when predicted completion misses the user’s start time, keeping the vehicle ready when needed.

Route segments and item sensitivity guide driving mode selection, helping autonomous delivery vehicles reduce damage, fuel use, and delays.

Lane link data lets the map overlay traffic on each lane, replacing single-line road displays that hide lane-specific congestion.

When EV battery charge falls low, nearby facilities with surplus stored power are matched for charging, improving convenience and supplier compensation.

Route-segment mapping and item sensitivity guide driving mode selection to protect deliveries while improving time and fuel use.

Matches in-vehicle tasks to available autonomous driving time and adapts to congestion so occupants can continue tasks with less interruption.

When low-range vehicles detect DTE changes after charging, the server updates station availability in real time to guide smoother charging.

Adaptive sensor-data prioritization and multi-link transmission cut latency and improve reliable remote intervention in autonomous vehicles.

Preconfigured lane-guideline segments for driving scenarios cut real-time path computation while improving route comfort and safety.

Triggered after autonomous vehicle failures, a structured in-cabin interface captures human feedback linked to time, location, and vehicle data.

Projects stereoscopic HUD graphics onto the road surface so drivers can read AR cues at their natural focal point with less distraction.

Local map filtering and cached road-segment costs help autonomous vehicles react to no-go zones with lower route-planning overhead.

Combining prior and recent trip telematics into hybrid epoch scores improves invoice predictability while reducing storage and processing load.

Estimated destination stay time guides when a moving body should charge, preserving user availability during short stops.

Vehicle behavior and contextual data update map confidence values for temporary road obstructions, reducing image-analysis load and false alerts.

Real-time transit arrival data helps autonomous vehicles choose curb pullovers without double parking, reducing route delays and traffic blockage.

Filtered IMU comparisons separate sensor faults from bias and noise, reducing false error flags in multi-sensor vehicles.

Routes are selected using maneuver-based takeover risk scores so autonomous vehicles can avoid difficult scenarios while balancing travel efficiency.

A navigation terminal switches between streaming image maps and embedded vector maps based on travel state.

Computing system assesses traffic data to determine autonomous vehicle stopping or re-routing actions, minimizing disruption during user pickup.

Server system predicts hazards on driving routes using historical data to reduce accident risks.

A vehicle control unit adjusts acoustic notification volume based on detected pedestrian presence to minimize disturbance.

Navigation system integrates traffic and toll data to resolve time-cost trade-offs for express lane routing.

Segmenting image data sets improves tourist vehicle identification accuracy while managing processing time through parallel analysis of individual vehicles.

A tour planning system divides cargo areas into loading zones to optimize delivery routes based on shipment positions.

A logistics manager coordinates tandem vehicle positioning to exploit aerodynamic slipstreams.

A vehicle sensor system detects surrounding data to ascertain stationary structures for calibration reference points.

A navigation system calculates travel time to suggest shopping detours that fit within a driver's schedule.

Alert system compares image sets from different timestamps to detect environmental changes, reducing accident risks by notifying users of new obstructions.

A route searching system uses a reference time table to convert time data for cross-time zone navigation.

Visual signs replace complex wireless communication devices to reduce installation costs and management complexity in large-scale warehousing operations.

Management platform selects target control schemes from candidate options to address generic pedestrian flow inefficiencies.

Pre-processing map data into cached tiles reduces computational time while maintaining accurate range estimation for electric vehicles.

A route guidance system integrates a counting unit to track vehicle arrivals and estimates at the destination.

Segmenting prediction into sequential models resolves the contradiction between high accuracy and increased device complexity.

A map display system selects icon types based on density and prohibits changes during scrolling.

Walking tempo validates GPS speed readings to filter errors in low signal environments and improve measurement precision.

A computer system maps geotemporal route objects onto digital maps to define intermediate waypoints between route vertices.

A V2V transponder uses hybrid TDMA and CSMA protocols to manage time slots dynamically.

Roadside devices accumulate pedestrian passage history to detect abnormal events without dedicated terminals.

Adjusting luminance via color-by-color pixel counts prevents view obstruction while maintaining display information visibility.

A system defines travel paths in parking areas by connecting street network connection points to the main road infrastructure.

A navigation data processing system dynamically allocates independent function modules across multiple apparatuses based on real-time device performance.

A mobile sensor platform collects environmental data across varied geographic areas while a central system aggregates and quality-checks the information.

A navigation system generates suggested routes by selecting streets that closely approximate a user-drawn stroke on a touch-sensitive screen.

A map matching system approximates probe data points to pre-calculated road segment centroids.

A machine learning device applies a corrected discount rate to decouple reward calculation from speed variations.

A combined map icon merges user location data with status indicators and action buttons into a single graphical interface element.

An infrastructure planning tool estimates vehicle energy usage to determine optimal charging station locations along off-road routes.

A BLE node interrogates a vehicle FOB to determine its position, resolving signal reflection issues at 2.4 GHz that compromise detection precision.

Electronic devices process external vehicle characteristics to generate customized suggested routes without exposing sensitive user information.

A navigation system detects vehicle velocity via a motion sensor to generate alternate routes when speed drops below a set threshold.

Map matching error analysis identifies lateral road course deviations using vehicle positional data.

Navigation systems calculate utility scores for candidate routes based on parking spot availability status to guide vehicles efficiently.

A turn-by-turn navigation system generates current and next guidance images for display.

A map database system uses disambiguation codes to differentiate duplicate localities.

Hierarchical time-dependent A* search computes fastest paths in spatial networks using precomputed lower and upper-bound graphs.

Estimation device segments three-dimensional point groups to approximate the motion surface of a mobile object.

A performance evaluation server collects actual travel data to calculate hindsight routes for navigation applications.

A positioning system determines vehicle location by projecting road attributes onto a calculated trajectory.

Segmented depth layers resolve field of view ambiguity by filtering overlapping items within specified distance ranges.

A vehicle guide lamp projects light lines showing the travel path and occupied area to assist navigation.

A navigation system calculates path duration by retrieving turning probabilities from a preset database to determine intersection passage times.

A server system creates cruise trajectory information by receiving positional and propulsion device data from wireless terminals aboard watercraft.

A mapping apparatus filters facility and route data using user capability indicators to deliver compatible navigation paths.

A portable device generates a test audio signal to verify the operational status of an automotive audio path.