Prof. Dr.-Ing. Michael Botsch

Scient. director AININ; Programme director and Acadmic Advisor "Automated Driving and Vehicle Systems" (Master)

Research

• Statistical Signal Processing and Machine Learning
• Active and Integrated Vehicle Safety
• Trajectory Planning Algorithms
  

Publications

• G. Dietl, M. Botsch, F.A. Dietrich und W. Utschick, “Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm”, IEEE Workshop on Signal Processing Advances in Wireless Communications, pp. 555 – 559,  2005
• M. Botsch, G. Dietl, W. Utschick, “Iterative Multi-User Detection Using Reduced-Complexity Equalization”, International ITG-Conference on Source and Channel Coding (TURBOCODING), pp. 1-6, 2006
• M. Botsch und J. A. Nossek, „Feature Selection for Change Detection in Multivariate Time-Series“, IEEE Symposium on Computational Intelligence and Data Mining, pp. 590 - 597, 2007.
• M. Botsch und J. A. Nossek, „Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel,“ IEEE World Congress on Computational Intelligence, pp. 220 - 227, 2008.
• P. Bergmiller, M. Botsch, J. Speth und U. Hofmann, „Vehicle rear detection in images with Generalized Radial-Basis-Function classifiers,“ IEEE Symposium Intelligent Vehicles, pp. 226 - 233, 2008.
• M. Reichel, M. Botsch, R. Rauschecker, K. Siedersberger und M. Maurer, „Situation aspect modelling and classification using the Scenario Based Random Forest algorithm for convoy merging situations,“ IEEE International Conference on Intelligent Transportation Systems, pp. 360 - 366, 2010.
• M. Botsch und C. Lauer, "Complexity reduction using the Random Forest classifier in a collision detection algorithm, " IEEE Intelligent Vehicles Symposium, pp. 1228-1235, 2010
• T. Dirndorfer, M. Botsch und A. Knoll, „Model-based analysis of sensor-noise in predictive passive safety algorithms,“ Conference on Enhanced Safety of Vehicles, 2011.
• M. Botsch und J. Stoll, "Analysis of the Aperture Angle of Exteroceptive Sensors for Automotive Safety Applications in Traffic-Scenarios with Crossing Objects," European Congress on Computational Methods in Applied Sciences and Engineering, 2012
• G. Notomista und M. Botsch, "Maneuver Segmentation for Autonomous Parking Based on Ensemble Learning", International Joint Conference on Neural Networks, 2015
• S. Herrmann, W. Utschick, M. Botsch und F. Keck, "Supervised Learning via Optimal Control Labeling for Criticality Classification in Vehicle Active Safety", IEEE International Conference on Intelligent Transportation Systems, 2015
• G. Notomistaa, M. Selvaggioa, F. Sbrizzid, G. Di Maioc, S. Graziosob und M. Botsch, “A fast airplane boarding strategy using online seat assignment based on passenger classification“, Journal of Air Transport Management, pp. 140-149, 2016
• A. Chaulwar, M. Botsch, T. Krueger und T. Miehling, “Planning of safe trajectories in dynamic multi-object traffic-scenarios”, Journal of Traffic and Logistics Engineering, Vol.4, no.1, 2016 (accepted for publication)