Survey on 6D Pose Estimation of Rigid Object

被引：0
|
作者：
Chen, Jiale [1 ,2 ]
Zhang, Lijun [1 ,2 ]
Liu, Yi [3 ,4 ]
Xu, Chi [1 ,2 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan, Peoples R China
[3] CRRC Zhuzhou Locomot Co Ltd, Zhuzhou, Peoples R China
[4] Natl Innovat Ctr Adv Rail Transit Equipment, Wuhan, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
基金：
中国国家自然科学基金;
关键词：
Pose Estimation; Feature Detection; Pose Ambiguity;
D O I：
10.23919/ccc50068.2020.9189304
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：7440 / 7445
页数：6
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