Instruments For Road Network Navigation TRIZ Cases

Geographic database stores lane-level traffic parameters derived from vehicle probe data, enabling accurate navigation without real-time network connectivity.

A vehicle control apparatus advances collision avoidance actuation timing when turning after overtaking objects.

Server analyzes driving habits and charging data to calculate remaining range, resolving driver uncertainty about battery capacity.

Segmenting fares into families resolves the trade-off between low fare attraction and profitability by showcasing restricted services.

A vehicle input device uses a control system to displace a selection marking on a display based on touch screen motion.

Asymmetric QR code placement on a braille block resolves the contradiction between simple design and accurate navigation by detecting user entry direction.

A navigation system generates routes by predicting traffic light waiting times using vehicle movement data and signal change information.

Pre-fetching map tiles along a route caches data in local memory, reducing download times and bandwidth usage during intermittent connections.

A Cross-Attention Transformer fuses polarized surface normal data with depth information to resolve navigation accuracy limits in complex environments.

A navigation system recalculates routes using targeted traffic data broadcasts and user preference filtering.

A vehicle navigation display system adjusts graphic representation rates based on user proximity detection to stabilize map objects.

A map interface dynamically obfuscates accommodation locations while displaying time-expiring inventory within a radius.

A navigation device adjusts intersection name placement relative to turn direction to prevent visual overlap with route lines.

Associates captured street images with geographic coordinates to provide vivid road guidance without frequent map updates.

Vehicle navigation system predicts evolved traffic conditions to optimize route planning efficiency and reduce travel time.

A vehicle-mounted aerial drone container activates upon network disconnection to deploy a drone for reestablishing communication.

A navigation system captures destination images to extract feature codes and retrieve address data without manual keyboard entry.

A machine learning model classifies objects using bounding curve features derived from sensor data convexities and concavities.

Navigation server recalculates routes after user inputs modify route graphs to avoid restricted areas for specialized vehicles.

A navigation system calculates predicted residual energy to determine reachable points in a route network for electric vehicles.

Dual-branch neural network generates combined feature amounts from movement trajectory data to estimate user transport mode.

Clustering probe trajectories into bundles using curve similarity metrics to generate map data without underlying topology.

Navigation apparatus detects arrival and generates new routes, then wirelessly transmits the updated path to a mobile terminal.

Selective icon removal during map scrolling reduces computational load, preventing visual clutter and performance degradation.

Platform segments fleet by accessibility features and dynamically adjusts routes to serve disabled passengers without advanced scheduling.

Autonomous navigation systems detect non-solid obstacles via depth analysis, adjusting routes to avoid fluid interference while maintaining safety.

Using vehicle crowdsourcing to predict parking availability and traffic congestion, resolving patchy data gathering limitations.

A navigation system calculates virtual travel times for alternative routes using position data from vehicles with matching movement characteristics.

Application processes map inputs to distinguish annotations from route requests using geometric shape analysis.

A navigation system selects alternative travel destinations by analyzing crowd-sourced location data from users with matching attributes.

Processor adjusts electronic horizon geographical range using driving speed and traffic volume to limit HD map data receipt.

A computer-implemented method uses an elliptical perimeter to identify points of interest along a route.

Handheld device captures movie poster images to retrieve cinema data and generate navigation routes, eliminating manual ticket window queues.

Navigation system filters traffic incidents by relevance to the planned route, providing advance notice before delays become unavoidable.

An information processing apparatus detects occupant features via image recognition to identify suitable parking positions in a lot.

A vehicle position detection system uses light beacon communication devices to correct GPS coordinates.

An integrated system merges self-driving control with targeted advertising, allowing occupants to navigate directly to purchased goods.

Navigation apparatus applies a minimum travel distance threshold to filter car pool lane recommendations, preventing unsafe frequent lane changes on highways.

A user terminal device displays photographic images on a map screen to guide navigation along a selected route.

Smart LED beacon resolves GPS indoor gaps by delivering one-meter accuracy through IoT integration.

A trained neural network estimates battery state of charge and remaining flight time from aggregated voyage data to support vehicle controller decisions.

Navigation device receives content information through wireless communication terminal authentication.

Gesture recognition identifies handicapped passengers in crowded pickup zones, resolving detection ambiguity while maintaining vehicle operational efficiency.

Mobile terminal calculates optimal fire escape routes using pre-stored floor plans and real-time signal strength data from fixed transmitters.

A moving body apparatus predicts surrounding object movements to determine and display an appropriate direction for the user.

Navigation systems replace basic distance calculations with physics-based and machine learning models trained on crowd-sensed vehicle telemetry.

A geo-tracking system analyzes user trends and social media data to generate personalized return paths for navigation.

A map display apparatus switches traffic signal icons between integrated and node positions based on the current display scale.

Electronic navigation system manages user and demo profiles to configure interface settings, reducing time spent resetting personalized configurations.