Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop

Resource type
Conference
Author(s)
Zofka, Marc René and Kohlhaas, Ralf and Bär, Tobias and Schwab, Sebastian and Schamm, Thomas and Zöllner, J Marius
Journal
Advances in Visual Computing - Lecture Notes in Computer Science Volume 8887, 2014, pp 752-762
Year
2014
Volume
8887
Pages
752-762
Publisher
Springer
Series
Lecture Notes in Computer Science
Book title
Advances in Visual Computing
Abstract
One of the great challenges for the release of automated vehicles is the verification and evaluation of their cognitive skills. Therefore, Vehicle-in-the-loop testing provides an adequate tool, combining real test drives with simulations. In this paper we present our innovative Vehicle-in-the-loop framework: First, a marker-based head tracking is presented, which is able to track the driver’s head in presence of vehicle’s movement and illumination influences. Second, we present our realization based on the Open-Source framework ROS with an exemplary coupling to the professional simulation tool CarMaker. Finally, we evaluate our approach in different driving scenarios.
Online Sources
http://link.springer.com/chapter/10.1007/978-3-319-14249-4_72
DOI
10.1007/978-3-319-14249-4_72
Research focus
Safe and Intelligent Vehicles
Project
ReTivU - Reales Testen in virtueller Umgebung
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Published by
Marc Zofka