The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed-Wing Unmanned Aerial Vehicless
Abstract
Unmanned aerial vehicles (UAVs) are mainly used by military and government organizations, but with low-cost sensors, electronics, and airframes there is significant interest in using low-cost UAVs among aircraft hobbyists, academic researchers, and industries. Applications such as mapping, search and rescue, patrol, and surveillance require the UAV to autonomously follow a predefined path at a prescribed height. The most commonly used paths are straight lines and circular orbits. Path-following algorithms ensure that the UAV will follow a predefined path in three or two dimensions at constant height. A basic requirement for these path-following algorithms is that they must be accurate and robust to wind disturbances.
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Cites
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Small Unmanned Aircraft: Theory and Practice
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Vector Field Path Following for Miniature Air Vehicles
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Performance and Lyapunov Stability of a Nonlinear Path Following Guidance Method
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Trajectory Tracking for Autonomous Vehicles: An Integrated Approach to Guidance and Control
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Time-varying Feedback Stabilization of Car-like Wheeled Mobile Robots
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Linear Tracking for a Fixed-Wing UAV Using Nonlinear Model Predictive Control
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Performance limitations in reference tracking and path following for nonlinear systems
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Cited by
Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018) · Networks · doi:10.1002/net.21818 · Cited by 985
“[261] on path following and control, Gupta et al.”
Chung, S. H., Sah, B., & Lee, J. (2020) · Computers & Operations Research · doi:10.1016/j.cor.2020.105004 · Cited by 441
Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects
Yu, X., & Zhang, Y. (2015) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2015.01.001 · Cited by 301
Metadata
- Venue
- IEEE Control Systems
- Published
- 2014-02
- Volume
- 34
- Issue
- 1
- Pages
- 42-59
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W1982582014
- Cited by
- 462
- References
- 15
- FWCI
- 47.98
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
