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Robust Sensing of the Automotive Environment In order to increase safety and comfort in future vehicles, reliable
sensing of the vehicle surroundings is of fundamental necessity. This is
a challenging task given the dynamic nature and adverse conditions found
in a typical sensing environment. Among all the signal processing and
pattern analysis methods applied in deriving such an environment
description, our research concentrates on techniques for tracking
multiple targets, with specific focus on Sequential Monte Carlo methods,
also called Particle Filters. The advantage of such a framework is
that we are able to describe in a probabilistic fashion the acquired
sensor data, and robustly fuse them, while always considering the scene
dynamics over time. As a result we are able to increase the reliability
of the derived driving-environment information. We apply with success
such methodologies in typical surrounding sensing tasks, such as lane,
road signs and vehicles detection, as well as in support functions such
as camera calibration. This project is funded by Elektrobit Automotive GmbH.
| Project manager: Elli Angelopoulou, Ph.D., Akad. Rat
Project participants: Andre Guilherme Linarth, M. Sc.
Keywords: Sequential Monte Carlo; particle filters; lane detection; road sign recognition; auto-calibration
Duration: 1.11.2007 - 30.6.2012
Sponsored by: EB Elektrobit Automotive GmbH
Contact: Linarth, Andre Guilherme E-Mail: andre.linarth@cs.fau.de
| Publications |
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Doebert, Alexander ; Linarth, Andre Guilherme ; Kollorz, Eva: Map Guided Lane Detection. In: Weka Fachmedien GmbH (Ed.) : Proceedings of Embedded World Conference 2009 (Embedded World Conference 2009 Nuremberg 3-5.3.2009). 2009, pp -. | Linarth, Andre Guilherme ; Brucker, Manuel ; Angelopoulou, Elli: Robust Ground Plane Estimation Based on Particle Filters. In: - (Ed.) : Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems (12th International IEEE Conference on Intelligent Transportation Systems St. Louis, MO, U.S.A. 4-7.10.2009). 2009, pp 134-140. - ISBN 978-1-4244-5520-1 | Linarth, Andre Guilherme ; Angelopoulou, Elli: On Feature Templates for Particle Filter Based Lane Detection. In: IEEE (Ed.) : 14th International IEEE Conference on Intelligent Transportation Systems (14th International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA 05.10.2011). 2011, pp 1721-1726. - ISBN 978-1-4577-2196-0 |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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