Name
Abstract | ||
|---|---|---|
This paper discusses localisation and mapping techniques based on a single camera. After introducing the given problem, which is known as monocular SLAM, a newcamera agnostic monocular SLAM system (CAM-SLAM) is presented. It was developed within the scope of this work and is inspired by recently proposed SLAM-methods. In contrast to most other systems, it supports any central camera model such as for omnidirectional cameras. Experiments show that CAM-SLAM features similar accuracy as state-of-the-art methods, while being considerably more flexible. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-45886-1_23 | PATTERN RECOGNITION, GCPR 2016 |
Field | DocType | Volume |
Omnidirectional camera,Monocular slam,Omnidirectional antenna,Computer vision,Visual odometry,Computer science,Epipolar line,Artificial intelligence,3D reconstruction,Pinhole camera model | Conference | 9796 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
23 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Rünz | 1 | 11 | 1.85 |
| Frank Neuhaus | 2 | 24 | 4.08 |
| Christian Winkens | 3 | 3 | 2.23 |
| Dietrich Paulus | 4 | 377 | 71.34 |