Talk by Dr. Markus Enzweiler from Daimler Research & Development on May 28, at 15.00h - Computer Vision for Autonomous Driving – The Bertha Benz Project

Computer Vision for Autonomous Driving – The Bertha Benz Project

Recent Mercedes-Benz cars offer a powerful stereo camera system that sets new standards in vehicle safety and comfort. Autonomous driving has become a reality, at least in low speed highway scenarios. This raises hope for a fast evolution of autonomous driving that also extends to rural and urban traffic situations. In August 2013, “Bertha”, a Mercedes-Benz S-Class vehicle with close-to-production sensors, drove fully autonomously from Mannheim to Pforzheim, following the 100km long historic Bertha Benz Memorial Route. Next-generation stereo vision was the main sensing component and as such formed the basis for the comprehensive understanding of complex traffic situations.

 

This talk will sketch the state-of-the-art in robust computer vision for driver assistance and will present the overall system architecture used for autonomous driving through busy cities.

Bio:

Markus Enzweiler received the PhD degree in computer science from the University of Heidelberg, Germany in 2011. Since 2010, he has been a research scientist at Daimler Research & Development in Sindelfingen, Germany, where he co-developed the Daimler vision-based pedestrian detection system which is available in recent Mercedes-Benz cars. His current research focuses on statistical models of object appearance with application to object recognition, scene understanding and autonomous driving in the domain of intelligent vehicles. 

He received graduate and PhD scholarships from the Studienstiftung des deutschen Volkes (German National Academic Foundation). In 2012, he received both the IEEE Intelligent Transportation Systems Society Best PhD Dissertation Award and the Uni-DAS Research Award for his work on vision-based pedestrian recognition.