The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Autonomous Underwater Vehicles: Localization, Navigation, and Communication for Collaborative Missions
Open accessAbstract
Development of Autonomous Underwater Vehicles (AUVs) has permitted the automatization of many tasks originally achieved with manned vehicles in underwater environments. Teams of AUVs designed to work within a common mission are opening the possibilities for new and more complex applications. In underwater environments, communication, localization, and navigation of AUVs are considered challenges due to the impossibility of relying on radio communications and global positioning systems. For a long time, acoustic systems have been the main approach for solving these challenges. However, they present their own shortcomings, which are more relevant for AUV teams. As a result, researchers have explored different alternatives. To summarize and analyze these alternatives, a review of the literature is presented in this paper. Finally, a summary of collaborative AUV teams and missions is also included, with the aim of analyzing their applicability, advantages, and limitations.
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Cites
Simultaneous localization and mapping: part I
Durrant-Whyte, H., & Bailey, T. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1638022 · Cited by 4,199
Simultaneous localization and mapping (SLAM): part II
Bailey, T., & Durrant-Whyte, H. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1678144 · Cited by 2,554
AUV Navigation and Localization: A Review
Paull, L., Saeedi, S., Seto, M., & Li, H. (2014) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2013.2278891 · Cited by 1,536
PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments
Gomez-Ojeda, R., Moreno, F.-A., Zuniga-Noel, D., Scaramuzza, D., & Gonzalez-Jimenez, J. (2019) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2899783 · Cited by 560
Re-evaluation of RF electromagnetic communication in underwater sensor networks
Che, X., Wells, I., Dickers, G., Kear, P., & Gong, X. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5673085 · Cited by 405
REMODE: Probabilistic, monocular dense reconstruction in real time
Pizzoli, M., Forster, C., & Scaramuzza, D. (2014) · 2014 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2014.6907233 · Cited by 330
Springer Handbook of Ocean Engineering
(2016) · Springer eBooks · doi:10.1007/978-3-319-16649-0 · Cited by 319
An integrated, underwater optical /acoustic communications system
Farr, N., Bowen, A., Ware, J., Pontbriand, C., & Tivey, M. (2010) · OCEANS'10 IEEE SYDNEY · doi:10.1109/oceanssyd.2010.5603510 · Cited by 280
Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles
Petillot, Y. R., Antonelli, G., Casalino, G., & Ferreira, F. (2019) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2019.2908063 · Cited by 265
Automated precision measurement of surface profile in CAD-directed inspection
Menq, C.-H., Yau, H., & Lai, G.-Y. (1992) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.134279 · Cited by 201
Cited by
A Survey on Visual Navigation and Positioning for Autonomous UUVs
Qin, J., Li, M., Li, D., Zhong, J., & Yang, K. (2022) · Remote Sensing · doi:10.3390/rs14153794 · Cited by 65
Metadata
- Authors
- González-García, J., Gómez-Espinosa, A., Cuan-Urquizo, E., García-Valdovinos, L. G., Salgado-Jiménez, T., & Cabello, J. A. E.
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2020-02-13
- Volume
- 10
- Issue
- 4
- Pages
- 1256
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W3006136081
- Cited by
- 283
- References
- 43
- FWCI
- 21.59
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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