Name
Abstract | ||
|---|---|---|
Platooning applications require precise knowledge about position and orientation pose of the leading vehicle. We present an optical solution for a robust pose estimation using artificial markers and a camera as the only sensor. Temporal coherence of image sequences is used in a Kalman filter to obtain precise estimates. The system is designed for and tested in off-road scenarios. A pose evaluation is performed in a simulation testbed. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23117-4_4 | CAIP |
Keywords | Field | DocType |
Off-road platooning, Optical tracking, Kalman filter, Autonomous vehicles | Truck,Computer vision,Computer science,Testbed,Kalman filter,Pose,Coherence (physics),Optical tracking,Artificial intelligence | Conference |
Volume | ISSN | Citations |
9257 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Winkens | 1 | 3 | 2.23 |
| Christian Fuchs | 2 | 2 | 2.12 |
| Frank Neuhaus | 3 | 24 | 4.08 |
| Dietrich Paulus | 4 | 377 | 71.34 |