Matthias Butenuth


Requirements and Visions for 3D-Sensing in Automotive Applications

Highly automated driving is currently one of the most challenging tasks in automotive industry. This technological progress is in an advanced development state and will be part of our daily life in a few years. The question is, how the design of these systems has to be chosen to be safe and reliable? Which kind of information is required as input – maps, sensors, vehicle2X-communication, cloud-based solutions?

In this talk, I will describe requirements and visions in automotive applications focusing on 3D-sensing. In addition, I will present recently developed techniques and examples of highly automated driving using environmental sensors.

Curriculum Vitae

Professional Experience

Since 7/2016 Head of Department »Predictive Safety« at IAV GmbH

1/2014 – 6/2016   Senior Project Manager »Active Safety & Driver Assistance Systems«, IAV GmbH

11/2011 – 12/2013   Team manager »Active Safety & Driver Assistance Systems«, IAV GmbH

11/2008 – 10/2011  Member of Academic Staff, Deputy Head of Chair of Remote Sensing Technology, Technische Universität München

09/2007 – 10/2008 Research Assistant, Chair of Remote Sensing Technology, Technische Universität München

08/2002 – 08/2007  Research Assistant, Institute of Photogrammetry and Geoinformation at Leibniz Universität Hannover



06/2008  Doctorate at Leibniz Universität Hannover, doctoral thesis on »Network Snakes«

09/1996 – 06/2002 Geodesy (Diplom-Ingenieur), Leibniz Universität Hannover



Otto von Gruber Award 2008, ISPRS

Outstanding Paper Award 2006, ISPRS, Symposium of Comm. III, Photogrammetric Computer Vision