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Research

Dr. Maik Boltes

Data Acquisition and Analysis

Automatic Extraction of Pedestrian Trajectories


of Pedestrian Dynamics

In order to understand and thereupon to model pedestrian dynamics, reliable empirical data of pedestrian behaviour is needed. My research activities include the identification of parameters influencing the dynamic, the acquisition of these parameters, studying sensor techniques capturing corresponding data and analysing the collected and fused data (e.g. head movement, full body motion, pressure, identification).

Open Science

A self developed free tool named PeTrack automatically extracts accurate pedestrian trajectories from experiments. Joint trajectories of all pedestrians provide data like velocity and density at any time and position.

Gathered data of all our experiments can be found in our open data archive.

I am co-publisher of the diamond open access journal Collective Dynamics and guest editor of the gold open access Journal of Advanced Transportation with the special issue Empirical Research on Pedestrians’ Behavior and Crowd Dynamics.

The conference Traffic and Granular Flow '13 has been co-organized and the workshop on Collecting and Analysing Experimental Data of Pedestrian Dynamics has been launched and organized by me.

Former reseach topics at JSC

Mesh Simplification

Mesh Simplification


High resulution models in computer graphics need to be simplified automatically in order to save processor performance or memory space. My research interest has been the simplification of meshes by preserving the visual appearance integrated to Sculptor.

Multimedia and Virtual Reality

VR

Further interest is scientific visualization including multimedia technics and virtual reality.