--Advanced Driver Assistance systems which promise a significant increase of road safety and comfort have found their way from research to serial production. Nearly all of these systems rely on a sensor-based perception of the vehicle’s environment. Furthermore, algorithms for tracking, data fusion, situation assessment, and decision making are crucial elements of such systems. Thus, this session presents recent advances in information fusion research for automotive applications. In particular, latest algorithms for positioning, object tracking, and situation assessment are presented. Keywords: Automotive; Intelligent Transportation; Detection, combined detection and tracking

--Gerd Wanielik received his diploma in 1979 from the Technical University of Darmstadt (Germany) and his Ph.D. in 1988 from the Technical University of Karlsruhe (Germany), all in electrical engineering. From 1979 he has worked as a scientist at the AEG-Telefunken Research Institute and later at the Daimler Chrysler Research Center. Since 1999 he is Professor of Communication Engineering at the Chemnitz University of Technology (Germany). His research interests include multi sensor processing and systems, polarimetry, communication and navigation systems. He is a senior member of the IEEE, member of the ITG and DGON. He received the ITG Award in 1991 and the Daimler Chrysler Research Award in 1997.

--Robin Schubert studied Electrical Engineering and Information Technology at Chemnitz University of Technology. During his studies, he spent one term at the Royal Institute of Technology in Stockholm, Sweden. Robin Schubert received his diploma degree in August 2006. From then, he worked as a research assistant with the Professorship of Communications Engineering at Chemnitz University of Technology, where he is responsible for the data fusion group. Besides, he is responsible for the positioning task within the European research project ”SAFESPOT”. His research interests include filtering, positioning, and data fusion for vehicular applications.