Instruments For Road Network Navigation TRIZ Cases

A perception system adjusts autonomous driving paths by analyzing surrounding vehicle behaviors to correct sensor data.

Vehicle system displays individual lane traffic jam lengths and signal switching times to guide optimal lane selection at intersections.

A control unit coordinates with a navigation device to schedule diesel particulate filter regeneration based on predicted driving conditions.

A node-centric navigation system updates roadway graphs using vehicle position data to optimize routes.

Extracting color, texture, and structure cues reduces computational complexity while maintaining navigational accuracy without overwhelming users.

A vehicle control system coordinates autonomous movements to specific meeting points for users on different vehicles.

A dynamic search window overlays a map display to show predicted locations, reducing obstruction while maintaining one-handed accessibility.

Virtual route communities transform navigation waypoints into subscription objects for transparent transportation markets.

A vehicle operation management apparatus selects overnight parking and creates energy plans based on facility availability.

A driving assistance system processes time-series driving data to generate dynamic map information for vehicle location referencing.

A vehicle evacuation control apparatus adjusts deceleration and course changes based on rear monitoring results.

Navigation apparatus estimates 3D pose via line fitting and RANSAC on HD maps, accelerating sensor fusion convergence without LiDAR.

A parking position notification apparatus uses vehicle-mounted cameras and sensors to generate map data for user terminals.

Aggregates vehicle trajectories by semantic maneuver type to identify drivable space paths, reducing motion planning complexity in complex traffic.

A navigation system updates driver profiles from detected events to calculate customized routing parameters.

A mobile radio unit manages identity profiles by evaluating current position and estimated movement destination to optimize network access.

A navigation system uses a single initiation mechanism to calculate routes via learned user behavior and prioritization.

A service management system marks loci based on order density to identify providers for targeted information delivery.

A vehicle monitoring system tracks battery levels and location data to provide real-time charging station recommendations.

A system uses live vehicle probe data to identify navigable elements affected by adverse weather conditions.

A calendar application calculates travel routes and times to dynamically adjust appointment schedules.

Microfluidic actuators generate tactile protrusions on a display surface, enabling visually impaired users to trace navigation paths through spatial patterns.

A vehicle terminal collects user operation and gaze data to identify interest fields for targeted content delivery.

A navigation system selects and sequences visual map data packets based on vehicle location, assumed route, and display resolution.

A navigation device enhances designated map patterns for three-dimensional display on an integrated screen.

Maplets fuse multi-sensor observations into compact road segments to update digital maps without excessive bandwidth consumption.

Smart eyewear frames integrate light arrays and temple vibration devices to signal turns, resolving usability barriers for visually impaired users.

A vehicle operation device sets a wide area destination and allocates provisional destinations to enable autonomous driving without specific final coordinates.

A navigation system distributes path planning between global and roadside units to improve precision.

Road operation devices acquire dynamic map data via network access.

Pixel map segmentation maps probe traces to a parameter space, resolving spatial contamination and data generalization issues in navigation device processing.

Dynamic geographical areas adapt to temporary road conditions, enabling safe autonomous vehicle deployment without static route limitations.

Queue-based probe data processing assigns transit vehicles to scheduled trips, resolving the contradiction between trip status accuracy and system complexity.

A server determines a recommended route and personal mobility based on environment information.

Elevating map icons above the ground level resolves visibility issues for objects at ground level, improving spatial representation accuracy.

A travel prediction method mining spatial and time information from user search and path data to generate interaction features for location forecasting.

A map rendering system adjusts tile zoom levels using tactile pressure and speech input for intuitive navigation.

A decision and planning system calculates optimal trajectories for autonomous vehicles using dynamic programming and gradient descent methods.

Classifying road anomalies from AV sensor logs prevents premature autonomy shutdowns by distinguishing benign hazards from genuine threats.

Navigation devices use normalized speed profiles to scale free flow speeds against time-based traffic variations.

A vehicle head-up display adjusts virtual image size and position to track detected targets ahead of the car.

A map data generating apparatus creates arcs from shape point sequences to approximate three-dimensional geometry.

A vehicle controller obtains charging facility position and utility data to notify drivers of contracted electric utilities.

A navigation system provides entity-specific geographic views by maintaining separate border definitions in a database.

A tessellated hierarchical grid system organizes indoor spatial data for targeted calibration and precise localization.

Autonomous electric scooters self-manage position and charge via real-time data, reducing overcrowding at charging stations.

Processor calculates road priority levels using vehicle count and speed data from GPS trajectories.

Segmenting routing into road and lane levels resolves the trade-off between routing efficiency and system complexity, enabling flexible path planning.

RSSI localization identifies occupants to resolve route planning inefficiency by applying group-specific preferences for scenic paths and fuel efficiency.