Name
Abstract | ||
|---|---|---|
A high precision method for position and attitude determination is presented. One of the difficulties in pose determination is the lack of reliable visual features. As a result, we exploit a novel convolutional neural network for stereo matching, so as to solve the problem of image feature extraction. The network is based on a siamese network and incorporates dense block into each branch. There is occlusion problem in the close-range phase of measuring object. In order to solve the occlusion, a multi-view system is established. The measurement results meet the accuracy requirements of pose determination and verify the feasibility of the method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IWCMC.2019.8766635 | 2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) |
Keywords | Field | DocType |
pose determination, convolutional neural network, stereo matching, dense block, multi-view system | Stereo matching,Computer vision,Attitude determination,Convolutional neural network,Computer science,Exploit,Feature extraction,Artificial intelligence,Deep learning,Distributed computing | Conference |
ISSN | Citations | PageRank |
2376-6492 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shantong Sun | 1 | 1 | 2.40 |
| Rongke Liu | 2 | 127 | 35.79 |
| Yu Pan | 3 | 19 | 12.25 |
| Qiuchen Du | 4 | 2 | 1.76 |
| Shuqiao Sun | 5 | 1 | 1.73 |
| Han Su | 6 | 171 | 12.27 |