Prof. Dr. rer. nat. Markus Enzweiler

Markus.Enzweiler[at]hs-esslingen.de

subjects

Autonomous Intelligent Systems, Robotics, Computer Vision, Deep Learning

special functions

consultation hours

Friday 13:00 - 14:00 (please make an appointment if possible) and whenever my door is open.  

vita

Career

2001 - 2003: Bonn-Rhein-Sieg University of Applied Sciences, undergraduate studies in Computer Science (BSc)

2002 - 2003: York University, Toronto, Centre for Vision Research, undergraduate and graduate studies in Computer Science (BSc, MSc)

2004 - 2005: Ulm University, graduate studies in Computer Science (BSc)

2006 - 2011: Heidelberg University, doctorate degree at the Faculty of Mathematics and Computer Science (Dr. rer. nat.)

2010 - 2021: Daimler AG / Mercedes-Benz AG Research & Development, sensor-based environment perception for driver assistance systems and autonomous driving 

Since 03/2021: Professor for Autonomous Mobile Systems at Esslingen University of Applied Sciences

Since 2023: Director of the Institute for Intelligent Systems

Achievements

2003 - 2009: Scholar of the Studienstiftung des deutschen Volkes (German National Merit Foundation)

2012: IEEE intelligent Transportation Systems Society, Best PhD Dissertation Award

2012: Uni-DAS Research Award for an outstanding PhD thesis in the field of driver assistance systems

2013: German Association for Pattern Recognition, Main Prize

2014: Junior-Fellow of the German Informatics Society (GI – Gesellschaft für Informatik)

2014: IEEE Intelligent Transportation Systems Society, Outstanding Application Award

2014: IEEE Intelligent Vehicles, Best Paper Award

2016: IEEE Intelligent Vehicles, Best Paper Award

2017: IGD Fraunhofer, Best Paper Award "Impact on Business"

 

publications

Please refer to Google Scholar.

Research interests

Computer Vision & Deep Learning, Multimodal Foundation Models, Mobile Robotics

more information

Please contact me regarding student projects and theses in the fields of autonomous systems, computer vision, and deep learning.  

Personal webpage: https://markus-enzweiler.de

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Interested? Apply now! for the summersemester 2025