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pro vyhledávání: '"Xieyuanli Chen"'
Publikováno v:
ICIA
Remarkable performance has been achieved using the state-of-the-art monocular Simultaneous Localization and Mapping (SLAM) algorithms. However, due to the scale ambiguity limitation of monocular vision, the existing monocular SLAM systems can not dir
Publikováno v:
2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
In this paper, we propose a distributed multi-robot SLAM system, where each robot estimates its pose and reconstructs the environment simultaneously using the same monocular SLAM algorithm, while sharing the results of their incremental maps by strea
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
In this article, we propose a distributed and collaborative monocular simultaneous localization and mapping system for the multi-robot system in large-scale environments, where monocular vision is the only exteroceptive sensor. Each robot estimates i
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319683447
ICVS
ICVS
Remarkable performance has been achieved using the state-of-the-art monocular Simultaneous Localization and Mapping (SLAM) algorithms. However, tracking failure is still a challenging problem during the monocular SLAM process, and it seems to be even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1aec452f96ec6b9c4e83a9771e183a2
https://doi.org/10.1007/978-3-319-68345-4_12
https://doi.org/10.1007/978-3-319-68345-4_12