Roderik Lindenbergh

Abstract

FP7 IQmulus enabled efficient extraction of tree parameters in huge mobile mapping point clouds.

Car based laser mobile mapping has proven itself as an efficient and accurate sensor system to sample our 3D road environment. At an operational basis, tens to hundreds of km of road is sampled on a daily basis. A challenge however is to correctly extract geometric parameters of objects in the resulting point clouds with the same efficiency. The FP7 IQmulus project coupled a cloud computing facility with novel geometry extraction algorithms and state of the art visualization techniques. One of the project showcases considers the problem of identifying all individual trees in mobile mapping point clouds. For this purpose several alternative algorithms have been implemented. The results in terms of quality, robustness and computational efficiency will be demonstrated on examples consisting of 10 to 50 km of road environment at different locations in France and Germany.  

Curriculum Vitae

Roderik Lindenbergh studied Mathematics at the University of Amsterdam, the Netherlands. He obtained a Ph.D. in pure Mathematics from the University of Utrecht, the Netherlands, for his work on limits of Voronoi diagrams. After his Ph.D., he joined the current Department of Geoscience and Remote Sensing of  Delft University of Technology where he is currently employed as an assistant professor. His research interests are focused on those applications of notably laser range data where the signal to noise ratio is critical. Roderik is Co-Chair of the ISPRS working group V/3 on terrestrial 3D imaging and sensors and is the TU Delft project leader of the IQmulus FP7 project developing a high-volume fusion and analysis platform for geospatial point clouds, coverages and volumetric data sets.