Relational Databases TRIZ Cases
- Driver Behavior Classification Using Contextual Telematics
Camera context and telematics are processed locally to classify maneuvers more accurately while reducing bandwidth and battery use.
- Power Asset Condition Classification with Missing Data Replacement
Combining automatic classification with substitute values for unavailable parameters keeps power asset condition analysis reliable when data is missing.
- Vehicle Object Perception Using Dual Labeling and Shape Matching
Dual labeling and shape matching improves surrounding object perception accuracy while limiting processing delay through pre-stored reference data.
- Road User Trajectory Ranking Using Endpoint Confidence Scoring
Trajectory endpoints and confidence scoring cut prediction effort while ranking feasible road-user paths more reliably for vehicle planning.
- Road User Trajectory End-Point Evaluation With Confidence Scoring
Confidence-scored trajectory end points cut prediction effort while improving reliability for road user motion planning.
- Edge Camera Hyperzoom Tracking for Low-Bandwidth Traffic Analytics
Hyperzoom tracking and Kalman prediction let edge cameras analyze people and vehicles with less network traffic and lower latency.