Andreas Ess' webpage

I'm a post-doctoral researcher at Prof. Luc Van Gool's group. My main interests are object detection and tracking from moving platforms in urban scenarios, as well as SLAM and 3D reconstruction.

When observing a traffic scene from inside a vehicle, a human observer will usually pay attention to a multitude of different scene objects in parallel: one can identify other traffic agents such as cars and pedestrians, and predict their further motion, or even interpret their intention. At the same time, one needs to stay clear of any obstacles, remain on the assigned road, and read/interpret any traffic signs on the side of street. On top that, a human is able to assess the situation: when close to a school or pedestrian crossing, one ideally will adapt one's driving behavior.

While humans seem to be able to perform all these tasks in parallel without too much effort, urban scene analysis remains a difficult task for a computer. To this end, I have been working on various projects towards this goal, mostly looking at specific sub-problems and combining them in a system's perspective.

Most of my work has been published at major conferences/journals in the Computer Vision and Robotics communities. Together with my co-authors Bastian Leibe, Konrad Schindler, and Luc Van Gool, we have obtained the Best Vision Paper Award at the International Conference on Robotics and Automation (ICRA), held in Kobe, May 2009! The rewarded work finds and tracks pedestrians in realistic shopping street environments, from a mobile platform (either a car or a robot-like platform).


The following gives a short overview over my projects in urban scene analysis, including the most relevant papers.

List of publications

The complete list of my publications can be found here.