Localization of AUVs using depth information of underwater structures from a monocular camera
- Authors
- Jung, J.; Choi, S.; Choi, H.-T.; Myung, H.
- Issue Date
- 2016
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- AUV; Localization; Vision
- Citation
- 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, pp 444 - 446
- Pages
- 3
- Journal Title
- 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
- Start Page
- 444
- End Page
- 446
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8536
- DOI
- 10.1109/URAI.2016.7734078
- ISSN
- 0000-0000
- Abstract
- In this paper, we propose a method of AUV localization and mapping using visual measurement of underwater structures. Since the inertial navigation system (INS) of AUV suffers from drift, observing fixed objects can enhance the localization performance. Depth map estimation of underwater structures and tracking of an AUV are complementarily handled in a framework of pose graph optimization. Estimation of absolute scale is resolved by exploiting incremental measurements of inertial sensors. The proposed method is validated by experiments performed in a structured basin environment. ? 2016 IEEE.
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