A LEARNING CONCEPT FOR BEHAVIOR PREDICTION AT INTERSECTIONS
A LEARNING CONCEPT FOR BEHAVIOR PREDICTION IN TRAFFIC SITUATIONS
LOCALIZATION BASED ON REGION DESCRIPTORS IN GRID MAPS
MULTI-SENSOR SELF-LOCALIZATION BASED ON MAXIMALLY STABLE EXTREMAL REGIONS
Precise Timestamping and Temporal Synchronization in Multi-Sensor Fusion
Real-Time Detection and Tracking of Pedestrians at Intersections Using a Network of Laserscanners
ROAD USER TRACKING AT INTERSECTIONS USING A MULTIPLE-MODEL PHD FILTER
STATE AND EXISTENCE ESTIMATION WITH OUT-OF-SEQUENCE MEASUREMENTS FOR A COLLISION AVOIDANCE SYSTEM