3D vehicle detection using a laser scanner and a video camera
Probability Estimation for an Automotive Pre-Crash Application with Short Filter Settling Times
Landmark navigation for robust object tracking in skidding maneuvers using laser scanners
Landmark Navigation for Robust Object Tracking in Skidding Maneuvers Using Laser Scanners
TPP1.13 Object Tracking and Classification using a Multiple Hypothesis Approach
Automatic generation of high precision feature maps of road construction sites
Automatic Generation of High Precision Feature Maps of Road Construction Sites
New Concepts for Contactless Angle Measurement in Automotive Applications
Camera and Imaging Radar Feature Level Sensorfusion for Night Vision Pedestrian Recognition
Multi-object-tracking for advanced driver assistance systems using random finite set theory
Generierung praeziser digitaler Verkehrsinfrastrukturkarten mit Laserscannern
Sensorfusion Using Spatio-Temporal Aligned Video and Lidar for Improved Vehicle Detection
VEHICLE AND OBJECT MODELS FOR ROBUST TRACKING IN TRAFFIC SCENES USING LASER RANGE IMAGES
Vergleich von Kamera und Radar als Unterstuetzung der Positionierung auf digitalen Karten
Lane Detection and Street Type Classification Using Laser Range Images
Grid-Based DBSCAN for Clustering Extended Objects in Radar Data
AUGMENTING NIGHT VISION VIDEO IMAGES WITH LONGER DISTANCE ROAD COURSE INFORMATION
Localization in Digital Maps for Road Course Estimation Using Grid Maps
ROAD USER TRACKING AT INTERSECTIONS USING A MULTIPLE-MODEL PHD FILTER
VEHICLE DETECTION AND TRACKING AT INTERSECTIONS BY FUSING MULTIPLE CAMERA VIEWS
Matching Highly Accurate Maps to Local Environmental Perception at Road Construction Sites
Real-Time Detection and Tracking of Pedestrians at Intersections Using a Network of Laserscanners
A probabilistic sensor-independent fusion framework for automotive driver assistance systems
Laserscanner Innovations for Detection of Obstacles and Road
Vergleich von Kamera und Radar als Unterstutzung der Positionierung auf digitalen Karten
A LEARNING CONCEPT FOR BEHAVIOR PREDICTION IN TRAFFIC SITUATIONS