Navigation Instruments TRIZ Cases
- Vehicle Travel Path Planning in Narrowed Road Lanes
By narrowing lane search space around curbs and obstacles, this case speeds vehicle path determination while preserving accurate routing.
- Aligned Geospatial Observations for Scalable HD Map Generation
Multiple vehicle sensor trajectories are aligned with drive offsets and Set Transformer processing to generate accurate, scalable HD maps.
- Vehicle Lane Control Using Map-Camera Line Deviation
When map and camera lane lines disagree, control follows nearby vehicle trajectories or smaller lane-width changes to keep travel accurate.
- Lidar Road Gradient Detection Corrected by IMU Pitch Data
Lidar point clouds and IMU pitch correction reveal road gradients ahead, helping autonomous vehicles handle sharp slope changes in real time.
- Autonomous Vehicle Disengagement Prediction for Scenario Triage
Machine learning classifies driving scenarios, triggers objective autonomous disengagements, and creates detailed records for faster triage and retraining.
- Calibration Scene Mapping for Autonomous Sensor Ground Truth
Periodic 3D calibration scene mapping improves ground truth accuracy for autonomous vehicle sensors while reducing manual labeling time.
- Vehicle Object Mapping During Standby With Periodic Sensing
Periodic sensing and map overlay let a standby vehicle locate nearby objects while balancing battery use and detection reliability.
- Autonomous Driving Map Construction With Virtual Intersection Centerlines
Manual driving tracks and grid maps are combined to recover lane boundaries and traffic directions for more accurate autonomous driving maps.
- Vehicle Display Layout With Swipe-Expanded Sub-Palette
Swipe-based sub-palette expansion improves icon visibility in vehicle displays while preserving main content continuity for drivers.
- Mobile Sensor Driving Event Detection With Graphical Scoring
Mobile sensors and server-side analysis detect driving events, fuse GPS and motion data, and turn trips into visual scores and behavior insights.
- Vehicle Display Virtualization Using Shared Memory for Multi-OS Camera Data
Shared memory between hypervisor-based virtual machines speeds camera data exchange across different OSs for synchronized vehicle displays.
- Driver Assistance Speed Warning Deactivation for False Alerts
Proactive deactivation suggestions cut unnecessary speed warnings by combining map, camera, and driving behavior analysis.
- Road Model Data Coverage Planning for AV Simulation
An optimizer selects the fewest map sections for 3D road model generation, preserving test coverage while cutting AV simulation compute cost.
- Autonomous Vehicle Motion Planning Using Passenger Reaction Feedback
Passenger reaction sensing guides autonomous vehicle motion planning to adapt driving behavior to comfort needs and changing road conditions.
- Vehicle Trajectory Pairing for Short- and Long-Horizon Planning
Parallel short- and long-horizon trajectories are paired to improve autonomous vehicle motion planning with better foresight and lower energy use.
- Vehicle Path Planning Under Adverse Weather Constraints
Weather-aware trajectory scoring helps vehicles predict remote maneuvers, avoid collisions, and stay maneuverable in adverse conditions.
- HD Map Generation from Aligned Geospatial Observations
Aligned multi-drive geospatial observations are clustered with attention models to generate accurate HD maps for navigation and vehicle control.
- Vehicle Trajectory Planning for Sensor Field-of-View Coverage
Additional vehicle maneuvers scan each path section before traversal, reducing collision risk without adding more sensors.
- Vehicle Sensor Anomaly Detection for Reliable Map Updates
Non-geospatial vehicle sensor data is used to detect anomalous driving conditions and confirm map updates across multiple vehicles for safer rerouting.
- Autonomous Vehicle Path Planning in Historical Takeover Areas
Historical manual takeover data guides path planning so autonomous vehicles can safely pass restricted driving areas with less human intervention.
- Vehicle Setup Modeling With Driver Feedback and Weather Inputs
Driver feedback and weather-aware model tuning improve vehicle setup recommendations by matching course conditions and handling constraints.
- Road Model Estimation Using Grid-Map Boundary Scanning
Enlarged grid cells and orthogonal path scanning improve road boundary detection in complex urban driving while limiting computation.
- Geospatial Trajectory Alignment for HD Map Geometry Generation
Aligned sensor trajectories and Set Transformer mapping improve road feature detection speed and accuracy for autonomous navigation.