Instruments For Road Network Navigation TRIZ Cases

Route-gradient-aware energy profiling scales standardized vehicle data to adjust speed and torque demand for route-level efficiency targets.

Real-time onboard video and volumetric occupancy data help route users around crowded vehicles while supporting privacy-aware social distancing.

Connected vehicles share metadata to elect training participants, improving federated model convergence while limiting privacy exposure and data traffic.

When a vehicle wireless network is compromised, local routing or alternate connectivity can guide the vehicle to a safe location.

Pedestrian movement is estimated from user identification data so vehicles can reroute in parking lots and avoid contact risks.

Controller-guided speed adjustment improves in-motion wireless charging efficiency and power reception reliability without exhaustive speed searches.

Standard-definition maps augment sensor-based lane reasoning to improve topology and connectivity prediction without costly HD maps.

Location names change size, color, or priority by reach probability so EV driving range is clear without being mistaken for roads or borders.

Route-specific track generation and waypoint-based evaluation improve fuel-use estimates and create driving paths that cut resource consumption.

Observed road user behavior is compared with map-based reference behavior to verify local road map accuracy and trigger timely corrections.

Real-time speed alerts compare vehicle speed with dynamically updated recommendations in vigilance zones to improve driver support and safety.

By matching vehicle speed to transmitter conditions, this case improves in-motion wireless charging efficiency without stopping.

When wide runways push a parking space entrance outside sensor range, the vehicle trajectory is adjusted to bring the entrance into view.

A cloud phantom vehicle simulates planned routes on HD maps to check tenant policies and operating restrictions before autonomous vehicle deployment.

Minimum measurement uncertainty is tuned from Nyquist-Shannon limits to dilate estimator distributions and reduce localization aliasing.

Tiered basic and external map data lets automated driving keep running through poor connectivity while reducing onboard storage needs.

By combining station pressure and temperature specifications, the vehicle predicts achievable hydrogen fill and expected driving range before fueling ends.

Logical expressions derived from laws, ethics, and road context are prioritized to guide autonomous motion with fewer deviations.

Driver behavior and route conditions are combined to predict fuel use across route options and choose the lowest-consumption trip.

Recently calibrated vehicles identify candidate objects as proxy targets, enabling remote fleet sensor calibration without facility visits.

Condensed occlusion representations over lanes and intersections help autonomous vehicles account for hidden obstacles without full environment mapping.

Occupant-aware AR overlays on outdoor displays help drivers detect hazards, locate emergency vehicles, and respond to drowsiness in low visibility.

Weather-based dispatch selects better pickup points and adjusts cabin conditions so autonomous rides stay more comfortable in rain, heat, or cold.

Compressed 3D road data preserves key gradient changes for long-range altitude prediction, reducing map storage and transmission load.

Destination-linked presets adjust lighting, climate, and media settings to personalize comfort without heavy real-time processing.

Route and traffic data are mapped to a reach-time axis to show takeover and automated sections, helping vehicles pass mixed road segments without stopping.

When congestion or passenger discontent rises, the vehicle HMI compares alternative transit by arrival time or fare to improve trip convenience.

State-based trip handling adapts passenger interfaces to current ride status, reducing unnecessary processing while improving resource use.

Wireless electronic footwear uses GPS, route planning, and tactile, audio, and visual cues to guide users while improving pedestrian safety.

Weighted friction, temperature, and air-resistance losses improve battery vehicle range prediction for trip planning in low-charging areas.

Real-time event probabilities guide contingency MPC to avoid obstacles without the speed and steering penalties of conservative autonomous driving.

By comparing speed profiles and trajectories of nearby vehicles, this case refines urban driving tracks to cut resource use and improve traffic safety.

Local GPS-cached POI alerts warn drivers about traffic lights and school zones during hands-free calls without continuous server polling.

Multiple candidate routes are scored by nearby business incentives, letting autonomous ride services balance travel constraints with rider offers.

Dynamic blending of fleet knowledge and driver-specific experience improves user preference reflection without delaying erroneous operation suppression.

When lane coordinate points become too dense, the controller lowers automated driving control level to reduce processing load and keep driving appropriate.

Driving-pattern analysis and route deviation metrics detect when parking search begins without user input or manual calibration.

A mobile charger uses vehicle state-of-charge and position data to prioritize and align charging across closely parked fleet vehicles.

Peripheral cabin lighting and steering-wheel vibration deliver navigation cues without screen glances, adapting to ambient light.

Multi-source road and vehicle sensing builds path-specific rolling resistance data so vehicles can plan lower-energy routes more accurately.

A navigation system recalculates an EV route before departure using updated vehicle status, improving route suitability without in-trip adjustment.

Time-series route data sent to a user's terminal makes unmanned valet parking movements trackable and easier to validate.

When GPS is weak or absent, overlapping LiDAR point clouds from a nearby vehicle are matched to recover global vehicle pose accurately.

Travel environment data replaces RFID-based tire tracking to determine maintenance timing with lower manufacturing and maintenance cost.

Probability-based link aggregation cuts map-matching workload from dense location samples while preserving route accuracy and real-time road reliability.

Repeated object-position matching filters movable references, improving vehicle-to-space positioning accuracy during parking assistance.

Charging rewards are issued only after verified facility use, linking EV service stops to nearby commercial customer attraction.

Topography-based charging station ranking helps heavy-duty EVs avoid steep descents after charging, reducing brake fading risk and route inefficiency.

Route-based speed profiling targets deceleration points to improve braking energy recuperation and reduce vehicle resource consumption.

LiDAR, wheel-speed, yaw, acceleration, and microphone data are fused to identify the safest lane when snow, potholes, and ruts obscure markings.

A hill climbing algorithm constructs lane lines from multi-layer probability density bitmaps generated by vehicle sensors.

A projectable transaction card displays navigation directions when near an account entity location.

Information processing device calculates cumulative greenhouse gas emissions from package deliveries to generate user notifications.

Navigation maps fuse inertial drift data with Wi-Fi and magnetic signatures to maintain location accuracy without external infrastructure.

A line-based preprocessing method builds a reduced set of feasible transfers to accelerate optimal itinerary generation.

Navigation system calculates deviation costs for intermediate points of interest to filter results by user preferences, resolving suboptimal route deviations.

Road marking recognition resolves navigation position errors to determine exit scenes, preventing premature deceleration control.

A terrain classification system creates acoustic cost maps to guide vehicle routing decisions based on environmental scanning.

A roadside parking space determination method merges public data with high-precision map references to correct geometric positions.

A control system manages electrical energy distribution for electric vehicle wireless charging segments along transportation routes.

An autonomous driving support apparatus determines vehicle capability using dynamic map data and use condition information.