Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-14249-4_72 | ADVANCES IN VISUAL COMPUTING (ISVC 2014), PT 1 |
Field | DocType | Volume |
Computer vision,Computer science,Tracking system,Augmented reality,Cognitive skill,Head tracking,Inertial measurement unit,Artificial intelligence,Cognition | Conference | 8887 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Rene Zofka | 1 | 12 | 4.48 |
| Ralf Kohlhaas | 2 | 14 | 5.22 |
| Tobias Bär | 3 | 7 | 1.57 |
| Sebastian Schwab | 4 | 0 | 0.34 |
| Thomas Schamm | 5 | 37 | 8.85 |
| Johann Marius Zöllner | 6 | 131 | 24.29 |