期刊
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE
卷 -, 期 -, 页码 7440-7445出版社
IEEE
DOI: 10.23919/ccc50068.2020.9189304
关键词
Pose Estimation; Feature Detection; Pose Ambiguity
资金
- National Natural Science Foundation of China [61876170]
- National Natural Science Fund Youth Science Fund of China [51805168]
- Fundamental Research Funds for Central Universities, China University of Geosciences [CUG170692]
- R&D project of CRRC Zhuzhou Locomotive Co., LTD. [2018GY121]
Estimating 6D pose of rigid objects has gained increasing attention as it has become an curcial problem in rapidly growing technology related to robotics, augmented reality and autonomous driving. Therefore, the research on 6D pose estimation technology is of great significance. In this paper, firstly, current position of the field is summarized regarding object pose estimation. We found that deep learning combined with traditional methods can produce better results. Then, pose ambiguity which is an open problem needed further study is raised. Finally, the main problems of the current research and possible development directions are identified.
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