The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends
Abstract
This paper provides a brief overview on the recent advances of small-scale unmanned aerial vehicles (UAVs) from the perspective of platforms, key elements, and scientific research. The survey starts with an introduction of the recent advances of small-scale UAV platforms, based on the information summarized from 132 models available worldwide. Next, the evolvement of the key elements, including onboard processing units, navigation sensors, mission-oriented sensors, communication modules, and ground control station, is presented and analyzed. Third, achievements of small-scale UAV research, particularly on platform design and construction, dynamics modeling, and flight control, are introduced. Finally, the future of small-scale UAVs' research, civil applications, and military applications are forecasted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
The Design and Implementation of FFTW3
Frigo, M., & Johnson, S. G. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840301 · Cited by 5,086
Lewis, F. L., Vrabie, D. L., & Syrmos, V. L. (2012) · doi:10.1002/9781118122631 · Cited by 2,020
An Introduction to Flapping Wing Aerodynamics
Shyy, W., Aono, H., Kang, C.-K., & Liu, H. (2013) · doi:10.1017/cbo9781139583916 · Cited by 303
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
Security, Privacy, and Safety Aspects of Civilian Drones: A Survey
Altawy, R., & Youssef, A. M. (2017) · ACM Transactions on Cyber-Physical Systems · doi:10.1145/3001836 · Cited by 428
A Review of GNSS-Independent UAV Navigation Techniques
Gyagenda, N., Hatilima, J. V., Roth, H., & Zhmud, V. (2022) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2022.104069 · Cited by 190
A study on cyber-security of autonomous and unmanned vehicles
Yağdereli, E., Gemci, C., & Aktaş, A. Z. (2015) · The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology · doi:10.1177/1548512915575803 · Cited by 140
Metadata
- Authors
- Cai, G., Dias, J., & Seneviratne, L.
- Venue
- Unmanned Systems
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 2014-04
- Volume
- 02
- Issue
- 02
- Pages
- 175-199
- ISSN
- 2301-3850 (ISSN-L)
- 2301-3869
- OpenAlex
- W2115106602
- Cited by
- 376
- References
- 4
- FWCI
- 31.34
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends. https://app.cochat.ai/papers/10.1142/s2301385014300017
- The paper
- Cai, G., Dias, J., & Seneviratne, L. (2014). A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends. Unmanned Systems. https://doi.org/10.1142/s2301385014300017
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.
