中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Weight algorithm based depth camera point-to-plane ICP algorithm

文献类型:会议论文

作者Zeng YJ(曾毓菁)1,2,3; Jiang Y(姜勇)1,2
出版日期2021
会议日期July 27-31, 2021
会议地点Jiaxing, China
页码799-804
英文摘要We propose a weight algorithm to improve the accuracy and robustness of ICP algorithm. Existing methods tend to drift in scenes without sufficient geometric information. First, we propose a new weight method for ICP algorithm of point-to-plane error metric. By detecting the uncertainty of the pose, we apply a weight to each point according to the constraints of the potentially unstable transformation. our algorithm achieves accurate and robust trajectory estimation results. Secondly, we compare the most advanced weight algorithms and propose a depth value quadratic attenuation algorithm based on the measurement characteristics of consumer depth cameras. Results on the public TUM RGB-D database benchmark show that our ICP algorithm achieves state-of-the-art results in terms of accuracy. © 2021 IEEE.
源文献作者IEEE Robotics and Automation Society ; Shenyang Institute of Automation CAS ; Shenzhen Academy of Robotics
产权排序1
会议录2021 IEEE 11th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2642-6633
ISBN号978-1-6654-2527-8
源URL[http://ir.sia.cn/handle/173321/29934]  
专题工艺装备与智能机器人研究室
通讯作者Jiang Y(姜勇)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Zeng YJ,Jiang Y. Weight algorithm based depth camera point-to-plane ICP algorithm[C]. 见:. Jiaxing, China. July 27-31, 2021.

入库方式: OAI收割

来源:沈阳自动化研究所

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