Instruments For Road Network Navigation TRIZ Cases

Visual and audio autonomy-switching directions give drivers advance notice of route-based AV mode changes in restricted or unmapped areas.

Iterative social interaction prediction helps intelligent vehicles avoid conservative deceleration while improving passage efficiency and comfort.

Categorized disengagements and road-scenario weighting replace MPI with a fairer autonomous vehicle safety assessment across operating conditions.

When one autonomous vehicle enters an error state, the system dispatches a replacement without the same risk factors to continue the trip.

Road-boundary center offsets refine autonomous vehicle U-turn paths to match turning radius and improve stability in tight turn areas.

Charging suggestions are aligned with scheduled stops and destination context to cut unnecessary EV charging detours and travel time.

Transfer learning and compact latent representations expand autonomous-agent ODDs with less labeled data and lower negative transfer risk.

Driver-triggered lane changes and route updates let HD map navigation handle intersections and roaming without losing guidance precision.

Parking constraints are switched by environmental risk and historical data, extending autonomous parking coverage with low-cost sensors.

Operation-time guidance appears when the vehicle is active and stops during non-operation to avoid unnecessary display energy use.

Built-in fire suppression, heat vents, and backflow and overcurrent protection help EV chargers prevent damage and contain fire risk.

Charging history and driving data are used to balance fast charging with battery wear, meeting target mileage at a chosen capacity.

Routes are optimized around battery range, charger availability, charging time, and energy cost to avoid inefficient EV journeys.

A projected path overlay converts video pixel input into drivable coordinates, cutting teleoperation planning time in complex vehicle maneuvers.

A vehicle HUD corrects virtual route arrows when heading deviates from map direction, improving guidance through lane changes and curves.

Environmental sensors and shared trajectory data let vehicles adjust speed profiles and routes to reduce fuel use while moving safely together.

Vehicles exchange offers and payments for right-of-way priority, cutting travel time and easing congestion in autonomous traffic.

A split-screen vehicle navigation interface combines route progress, ETA, and status monitoring to reduce distraction while keeping updates current.

Layered rendering with separate position signals keeps vehicle HMD visuals aligned during head and vehicle motion, reducing artifacts and motion sickness.

Route-specific stop timing, geometry, and vehicle data are used to shape speed profiles that cut energy use on routes with mandatory stops.

Historical map priors let an autonomous vehicle predict intersection creep and yielding behavior beyond fixed road rules.

Real sensor frames and disengagement data train models to detect unsafe autonomous driving scenarios and improve realistic safety testing.

Predicted task time windows help drivers choose suitable secondary tasks during autonomous driving with less interruption risk.

Recorded sensor and vehicle movement logs build local drivable-area maps offline, enabling route planning and parking in unmapped areas.

When camera and V2X traffic light data conflict, nearby vehicle signals help validate the light state and enable safe intersection bypass.

Matches EV charge time and station connectivity with user content preferences so charging can continue without interrupting playback.

Prevents an autonomous delivery box from moving with an open door and adjusts routes to protect perishable, high-value, and food packages.

Infrared-reflective road markings stay invisible to human drivers while giving automated vehicles a cleaner detection channel with less visual clutter.

RSU signals and road sign position checks validate vehicle location when GPS is obstructed and IMU drift threatens path planning.

Point-based curve detection scores road segment difficulty from route geometry, helping vehicle control handle turns with less complexity.

Hybrid trip routing combines autonomous vehicle travel with user-selected physical activity while meeting arrival times and balancing cost and health.

When transit delays or road congestion occur, the vehicle shifts the passenger's transfer point to keep multimodal travel efficient.

Probabilistic road occupancy mapping predicts a target object's future road region, helping vehicles avoid overlap in severe traffic and night driving.

Color and number codes unify connector type and power data, helping drivers find compatible EV chargers faster and estimate charging time.

Digital car park maps and target positions let a vehicle navigate from drop-off to parking space autonomously with less driver intervention.

Driver pickup and drop-off confirmation with real-time routing improves student custody visibility while reducing delays and redundant bus travel.

Deferred matching of sensor and transmitter object data cuts redundancy and computing load while keeping the vehicle environment model accurate.

Snapshot-based route simulation compares vehicle capabilities with route conditions to flag likely travel risks before dispatch.

Timed in-vehicle contract alerts show telematics account ownership at startup or service use, helping new users avoid unwanted charges.

Property and lane map data are combined onboard to predict roadside parking risk and recommend smoother autonomous driving lanes.

Shows how lane-level route planning explains lane actions by exposing slack-value tradeoffs across time, comfort, and safety.

Confidence intervals from fleet energy data improve EV route and charging decisions under uncertain traffic and driver behavior.

As a guidance point nears, the helmet combiner display removes distance numbers and keeps the direction cue to reduce driver distraction.

Projects 3D odometry onto a 6D roadmodel manifold to capture elevation, roll, pitch, and yaw for more accurate vehicle pose updates.

Projects legal speed limits from map and position data into the driver's line of sight, improving road attention and travel awareness.

Sparse factor graphs link shared trajectories and sensor data to cut map storage and update time for autonomous vehicle navigation.

Vehicle feedback tracking monitors ADAS use and driving conditions to support fairer insurance rates and safer automation decisions.

Road-width-aware route generation keeps a vehicle within the passable range and limits drift from crosswinds or uneven road surfaces.

Combining GNSS, vehicle odometry, and map matching helps detect new roads close to mapped roads and supports safer autonomous driving.

Distributed road sensors evaluate segment conditions to provide accurate driving ratings.

Electronic apparatus notifies portable terminal of setting information to synchronize screen luminance and tone.

Segmenting mandatory junction evaluation from discretionary speed optimization reduces response time while maintaining lane change precision.

Backend server analyzes device activity to direct drivers toward prospective passengers, reducing transportation request latency.

A travel time data processor selects reference links with similar statistical profiles to supplement insufficient probe data.

Segmenting monolithic maps into dynamic submaps reduces storage and processing complexity while maintaining localization accuracy in changing environments.

Mountain relay nodes provide IoT network access to roadside studs, enabling vehicle navigation without direct GPS.

A UWB communication unit switches between ranging and radar modes to guide vehicles.

A homomorphic cryptosystem performs operations on encrypted data to enable secure vehicle communication without decryption.

A navigation system calculates media density scores from social network data to rank points of interest along a route.

A computer-programmed civil-defense system directs ground vehicles to broadcast alerts via external speakers along optimized routes.

A data server extracts suitable boarding points from probe vehicle sensor streams to update a central database.

A processing device analyzes environmental images to determine navigational actions for a host vehicle.

A joint motion planning system uses spline functions to estimate trajectories.

A route summary truncation system generates shortened graphical transit routes using segment-level and summary-level operations.

A three-dimensional map generation system interpolates defective areas using NURBS curves to produce complete spatial data.

An operation management controller modifies operator commands to regulate vehicle subsystems and enhance operational safety.

Unmanned aircraft systems capture surface data to calibrate satellite instruments, resolving labor-intensive deployment and accessibility bottlenecks.

Wireless communication merges sensor inputs across vehicles, assessing reliability to correct GPS errors and improve lane recognition in dense traffic.

Mobile devices share disconnection data to adjust geographic boundaries for automatic navigation termination.

A vehicle system calculates efficient routes using real-time energy parameters and location data.

A database driven taxiway input interface generates a smart keyboard on an aircraft touchscreen display.

Categorizing map information into static and dynamic types optimizes update frequencies, reducing communication traffic while maintaining data relevance.

A navigation system uses fuzzy routing to calculate travel routes through keyword group locales for device display.

A voice interaction software development kit processes speech requests to control map client display visibility.

A parking assistance device generates a route using tangent circumferences to maintain safe distances from surrounding vehicles.

Periodic attitude corrections reset accumulated sensor errors, maintaining positional accuracy despite using fewer sensors.

A portable navigation device uses a radio transmitter to send acoustic instructions wirelessly.

Operation control apparatus maintains constant time intervals between autonomous vehicles passing selected route points.

A multi-step animation sequence transitions users from street maps to panoramic views while maintaining full screen space.

A tree felling guidance system uses optical and inertial sensors to determine ideal cutting paths for forestry operations.

A detection circuit uses a pseudo up-link signal to verify antenna connectivity via resistor voltage drops.

A vehicle notification system extracts related facilities based on occupant attribute information to recommend suitable replenishing places.

Information processing apparatus generates map representations of user activities using location data.

A device calculates leader points from position data to prioritize group members.

Navigation systems apply TRIZ extraction principles to filter irrelevant points of interest by travel purpose, reducing map clutter and improving readability.

Segmenting road networks into lane segments resolves the contradiction between traffic information coverage and lane-level guidance specificity.

A bus server analyzes mobile device locations to assign optimal street intersections for passenger pickups along transit routes.

A driving information projecting apparatus displays route guidance on the windshield using a dedicated lighting unit and display panel.

A navigation system generates provisional routes and points of interest based on traveler information.

A LiDAR mapping system adjusts point cloud datasets using inertial navigation and speed sensors to produce accurate three-dimensional tunnel models.

Server selects nearby navigation devices to validate map corrections, reducing manual verification costs while preventing false updates.

A route search device sets transportation priorities for each section based on start and end point attributes.

A map-based polygon selector tool generates closed geometric shapes to retrieve user-specified information from defined areas.

Checksum verification detects graphical control fields overwritten by other applications, ensuring accurate user input recognition in motor vehicles.

A map interface displays location relationships between current and target positions using server-derived distance data.

A navigation terminal displays current and backup routes in distinct visual modes to enable clear user comparison.

Segmenting universal update pools into personalized subsets reduces unnecessary data transmission while maintaining relevance.

Analyzes vehicle position history curvature derivatives to identify road junctions without image data.

A trip classification system segments journeys using acceleration data to compute event scores for driving behavior assessment.