Name
Abstract | ||
|---|---|---|
This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. We also employ a professional, static 3D scanner for ground truth map collection. Three datasets are generated to evaluate the performance of mapping algorithms within a room and between rooms. Based on these datasets we generate maps and trajectory data, which is then fed into evaluation algorithms. The mapping and evaluation procedures are made in a very easily reproducible manner for maximum comparability. In the end we can draw a couple of conclusions about the tested SLAM algorithms. |
Year | Venue | DocType |
|---|---|---|
2019 | international conference on robotics and automation | Journal |
Volume | Citations | PageRank |
abs/1905.09483 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongyu Chen | 1 | 10 | 3.58 |
| Xiting Zhao | 2 | 0 | 0.34 |
| Jianwen Luo | 3 | 0 | 1.01 |
| Zhijie Yang | 4 | 0 | 1.35 |
| Zehao Zhao | 5 | 0 | 0.34 |
| Haochuan Wan | 6 | 0 | 0.34 |
| Xiaoya Ye | 7 | 0 | 0.34 |
| Guangyuan Weng | 8 | 0 | 0.34 |
| Zhenpeng He | 9 | 2 | 1.75 |
| Dong Tian | 10 | 55 | 7.18 |
| Sören Schwertfeger | 11 | 0 | 0.68 |