Autonomous driving on railroads (autoBahn)
autoBahn (Energie- und Klimafonds / FFG project 825624) is a project on autonomous railroad systems
targeted to local railway lines. The basic idea is to employ a set of autonomously driving trainlets of small size, which allows to replace
a strict schedule by transportation on demand guaranteeing a certain maximal waiting time.
We work in the area of obstacle detection, where a phalanx of different sensors is employed to cope with varying wheater and other environmental
conditions. Main task is applying advanced image processing and vision techniques to the sensor data and fusion of the corresponding results
to provide robust driving decision informations.
This project is led
by the Embedded Software and Systems Center at Salzburg University
and is conducted in a larger consortium including the Wels University of Applied Science, Siemens AG Austria, and Stern & Hafferl Verkehrsgesellschaft m.b.H., in cooperation with the Department of Measurement and Control (MRT) at Karlsruhe Institute of Technology (KIT).
- [Gschwandtner11a ] Infrared Camera Calibration for Dense Depth Map Construction In Proceedings of the IEEE Intelligent Vehicles Symposium (IV '11), pp. 857-862, Baden-Baden, Germany, June 2011
- [Gschwandtner11b ] BlenSor: blender sensor simulation toolbox In Proceedings of the 7th international conference on Advances in visual computing - Volume Part II, pp. 199-208, Berlin, Heidelberg, ISVC'11, 6939, Springer-Verlag, 2011
- [Gschwandtner10b ] Track detection for autonomous trains In Advances in Visual Computing: 6th International Symposium, (ISVC 2010), pp. 19-28, Las Vegas, Nevada, USA, November 29 - December 1, 2010