Predavanje u organizaciji IEEE Systems, Man and Cybernetics lokalnog Chaptera, će održati prof. Andreasa Nüchtera (Julius-Maximilians-University Würzburg, Germany),

Početkak: Petak, 30.10.2015. godine u 10 sati.

Mjesto održavanja: Glavna zgrada ETF-Sarajevo, Sala 0-13

Predviđeno trajanje predavanja: 45 min.

Jezik predavanja je engleski,

Abstract:

The terrestrial acquisition of 3D point clouds by laser range finders has recently moved to mobile platforms. Mobile laser scanning puts high requirements on the accuracy of the positioning systems and the calibration of the measurement system. We present a novel algorithmic approach to the problem of calibration with the goal of improving the measurement accuracy of mobile laser scanners. We developed a general framework for calibrating mobile sensor platforms that estimates all configuration parameters for any configuration of positioning sensors including odometry. In addition, we present a novel semi-rigid SLAM algorithm that corrects the vehicle position at every point in time along its trajectory, while simultaneously improving the quality and precision of the entire acquired point cloud. Using this algorithm the temporary failure of accurate external positioning systems or the lack thereof can be compensated for. We demonstrate the capabilities of our two newly proposed algorithms on a wide variety of data sets.

Applications for the developed suite of algorithms range from 3D mapping for autonomous driving to precise digitalization of production lines in the automotive context.

CV:

Andreas Nüchter is professor of computer science (telematics) at University of Würzburg, Germany. Before summer 2013 he headed as assistant professor the Automation group at Jacobs University Bremen. Prior he was a research associate at University of Osnabrück. Further past affiliations were with the Fraunhofer Institute for Autonomous Intelligent Systems (AIS, Sankt Augustin), the University of Bonn, from which he received the diploma degree in computer science in 2002 (best paper award by the German society of informatics (GI) for his thesis) and the Washington State University. He holds a doctorate degree (Dr. rer. nat) from University of Bonn. His thesis was shortlisted for the EURON PhD award. Andreas works on robotics and automation, cognitive systems and artificial intelligence. His main research interests include reliable robot control, 3D environment mapping, 3D vision, and laser scanning technologies. The capabilities of his 3D robotic SLAM approaches were demonstrated at RoboCup Rescue competitions, ELROB and several other events. He is a member of the GI and the IEEE.