The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview
Abstract
Autonomous marine vehicles (AMVs), including autonomous surface and underwater vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and environments. Motion control is a fundamental enabling technique for state-of-the-art AMV development. Especially, guidance is a critical component in AMV motion control. In recent years, line-of-sight (LOS) guidance, as an efficient guidance method, has attracted tremendous interest from both theoretical and practical perspectives. In this paper, an overview of recent advances in LOS guidance for AMV path following is provided. First, a control objective for the path following of an AMV with a kinematic model is specified. Next, major LOS guidance laws for path following are reviewed in detail. Then, LOS guidance laws applicable to coordinated path following of multiple AMVs are elaborated. Finally, six challenging issues for future research are addressed.
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Cites
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An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles
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Self-citationLine-of-Sight Path Following for Dubins Paths With Adaptive Sideslip Compensation of Drift Forces
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Survey of deep learning for autonomous surface vehicles in marine environments
Qiao, Y., Yin, J., Wang, W., Duarte, F., Yang, J., & Ratti, C. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3235911 · Cited by 192
Metadata
- Authors
- Gu, N., Wang, D., Peng, Z., Wang, J., & Han, Q.-L.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2023-01
- Volume
- 53
- Issue
- 1
- Pages
- 12-28
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W4226073364
- Cited by
- 316
- References
- 71
- FWCI
- 29.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gu, N., Wang, D., Peng, Z., Wang, J., & Han, Q.-L. (2023). Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2022.3162862
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
