Instruments For Road Network Navigation TRIZ Cases
- Vehicle Charging Behavior Detection for Fleet SoC Compliance
Real-time charger location and SoC checks flag unnecessary or excessive fleet charging to cut energy waste and downtime.
- Lead AV Construction Zone Detection for Coordinated Rerouting
A lead AV detects construction zones, updates its route, and shares sensor data so following AVs can detour or reroute safely.
- Highway Convoy Speed Profiling for Resource-Efficient Vehicle Tracking
A lead-vehicle speed profile is used to generate route-specific convoy tracks that cut highway energy use across different vehicle types.
- Autonomous Vehicle Simulation for Driver Behavior Gap Analysis
Replay real driving logs in simulation to detect progress and behavior gaps between human-driven and autonomous vehicles for safer software validation.
- Parking Route Training Resumption From a Stored Checkpoint
Resuming parking route training from a chosen stored position avoids full retraining while preserving route continuity and accuracy.
- Autonomous Vehicle Basis Path Planning for Lane Change Merging
Candidate basis paths are generated to merge at selected lane points, improving autonomous lane changes while limiting processing load.
- Predictive Vehicle Control for Real-Time Operational Restrictions
Sensor-driven predictive models detect vehicle status early and trigger speed or mode restrictions to prevent component failures during travel.
- Unmanned Vehicle Path Smoothing With Consistent Obstacle Detours
Left-right obstacle decisions made before smoothing keep unmanned vehicle paths consistent, feasible, and collision-aware.
- AR Driving State Display Using Lane Detection Instead of HD Maps
Lane detection and scene-image fusion replace HD maps to show vehicle driving state with lower storage, computing, and network load.
- Road Surface Landmark Localization for High-Resolution Vehicle Positioning
Road surface snippets are scored for distinctiveness to build updateable landmarks that localize vehicles beyond GPS accuracy limits.
- Vehicle Surface Detection for Flat-Surface Sensor Calibration
Buffered GNSS and gyro motion data identify flat ground at vehicle stop, enabling accurate sensor calibration without OEM data.
- Autonomous Vehicle Route Planning for Stall Factor Avoidance
Pre-trip stall factor detection redirects unoccupied autonomous vehicles to alternate routes, improving trip completion when help is unavailable.
- EV Route Guidance Using Minimum Battery Reserve
Uses driver-set minimum battery reserve and available range to flag charging needs and guide EV routes with less range anxiety.
- EV Range Prediction Using Fleet Energy Confidence Intervals
Fleet energy data and confidence intervals improve EV route prediction under traffic and driver uncertainty, guiding mode changes or charging stops.
- Vehicle Content Delivery Using Navigational Attributes and Driving Context
Driving conditions and navigational data are used to vary sports content detail, preserving relevance while limiting driver distraction.
- Forward Graph Search for Reduced Vehicle Trajectory Trees
Obstacle-aware trajectory combinations are pruned outside spatial or temporal corridors, cutting search time while preserving valid path choices.
- Vehicle AR Head-Up Display With Multi-Plane Turn Guidance
Multi-plane AR on a vehicle HUD pairs turn symbols with road-grounded cues to expand limited field of view and improve maneuver guidance.
- Intersection Lane Selection Using Collision Risk and Road Topology
At intersections, collision-risk assessment and road topology guide exit-lane choice to improve vehicle safety and reduce calculation overhead.
- Synthetic HD Map Geometry from SD Road Data for Autonomous Training
Rule-based geometry extraction turns SD road maps into HD lane and traffic layouts faster and at lower compute cost for autonomous training.
- Vehicle Speed Control Across High-Definition Map Coverage Gaps
By switching from HD maps to lower-precision road maps before coverage ends, the controller avoids incorrect speed-based acceleration or deceleration.
- Vehicle Travel Mode Transition Using Map-Environment Matching
Map and sensor matching lets a vehicle switch smoothly from general road assistance to region-specific travel in designated areas.
- Parking Guidance Target Correction for Dividing Line Recognition Errors
A reference target and periodic correction keep parking guidance stable despite camera angle shifts and dividing line recognition errors.
- Vehicle Position Control Using Reliable Voxel Map Matching
When position accuracy drops, reliable voxel regions guide route correction and NDT matching to improve onboard vehicle localization.
- Vehicle Fuel Prediction With Driver-Adaptive Trip Options
Driver behavior, vehicle data, and trip constraints are combined to predict fuel use and present trip options that cut consumption and travel time.
- Conveyance Request Matching for Real-Time Preference-Based Dispatch
Pre-filtered conveyance requests match representative preferences in real time, improving dispatch decisions, vehicle use, and earning potential.
- Vehicle AR Display with Separated Guidance Objects and Context Prediction
By combining vehicle sensing with network data, the AR interface predicts hazards and shows separated guidance objects for safer driving.