Name
Abstract | ||
|---|---|---|
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into different groups. A sparse graph is first created using Delaunay triangulation ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2020.3010942 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Dynamics,Correlation,Simultaneous localization and mapping,Robustness,Motion estimation,Cameras,Motion segmentation | Journal | 44 |
Issue | ISSN | Citations |
1 | 0162-8828 | 3 |
PageRank | References | Authors |
0.39 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weichen Dai | 1 | 3 | 1.41 |
| Yu Zhang | 2 | 63 | 10.00 |
| Ping Li | 3 | 53 | 5.22 |
| Zheng Fang | 4 | 24 | 6.55 |
| Sebastian Scherer | 5 | 522 | 57.76 |