Navigation Instruments TRIZ Cases
- Vehicle Imagery Linking for City Object Dynamics Analysis
Linked images from many on-road vehicles turn scattered city object captures into time-based behavior analysis and richer urban dynamics.
- Vehicle Radar Pothole Detection With Geolocated Road Hazard Mapping
Radar scans the road ahead to confirm and geolocate potholes, improving low-visibility detection and map-based hazard sharing.
- Vehicle Drivable Path Using Obstacle Confidence Scores
Historical obstacle confidence scores help vehicles ignore overdrivable road cracks and bumps, reducing false positives in path planning.
- Autonomous Vehicle Prediction Models Using Modified Scene Map Data
Modified scene map data helps autonomous vehicles predict rare-object behavior more accurately without requiring large low-frequency training sets.
- Vehicle Path Planning Using Historical Obstacle Confidence
Historical obstacle confidence helps vehicles filter sensor false positives and keep drivable paths stable around overdrivable road features.
- Autonomy Map Right-of-Way Inference From Fleet Sensor Data
Fleet vehicle traces are used to infer obscured right-of-way rules and keep autonomy maps accurate without manual labeling.
- Automatic Parking Path Planning With Topological Map Matching
Directed topological graph planning adapts automatic parking paths to user preferences while handling different map data formats.
- Vehicle Relevance Polygon Filtering for Low-Latency Collision Planning
A speed-based relevance polygon filters irrelevant objects from vehicle control planning, cutting latency while preserving collision avoidance focus.
- AR Maneuver Markings for Clear Long-Range Vehicle Navigation
Road-anchored AR maneuver markings improve long-range visibility and cut driver interpretation effort during complex turns.
- Electronic Horizon Supply With Deterministic Dual-Thread Processing
Dual-thread map processing keeps the electronic horizon real-time and fresh, with timestamp checks and lockstep error detection.