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Autopilots for small unmanned aerial vehicles: A survey
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Citations
Cited by
Classifications, applications, and design challenges of drones: A review
Hassanalian, M., & Abdelkefi, A. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.04.003 · Cited by 1,454
Nikitas, A., Michalakopoulou, K., Njoya, E. T., & Karampatzakis, D. (2020) · Sustainability · doi:10.3390/su12072789 · Cited by 495
A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)
Telli, K., Kraa, O., Himeur, Y., Ouamane, A., Boumehraz, M., Atalla, S., & Mansoor, W. (2023) · Systems · doi:10.3390/systems11080400 · Cited by 331
Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches
Yasin, J. N., Mohamed, S. A. S., Haghbayan, M.-H., Heikkonen, J., Tenhunen, H., & Plosila, J. (2020) · IEEE Access · doi:10.1109/access.2020.3000064 · Cited by 329
The societal impact of commercial drones
Rao, B., Gopi, A. G., & Maione, R. (2016) · Technology in Society · doi:10.1016/j.techsoc.2016.02.009 · Cited by 317
Metadata
- Authors
- Chao, H., Cao, Y., & Chen, Y.
- Venue
- International Journal of Control, Automation and Systems
- Published
- 2010-02
- Volume
- 8
- Issue
- 1
- Pages
- 36-44
- ISSN
- 1598-6446 (ISSN-L)
- 2005-4092
- OpenAlex
- W2169677720
- Cited by
- 461
- References
- 0
- FWCI
- 46.33
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Autopilots for small unmanned aerial vehicles: A survey. https://app.cochat.ai/papers/10.1007/s12555-010-0105-z
- The paper
- Chao, H., Cao, Y., & Chen, Y. (2010). Autopilots for small unmanned aerial vehicles: A survey. International Journal of Control, Automation and Systems. https://doi.org/10.1007/s12555-010-0105-z
Data sources
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.
