The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Recent Advances in Unmanned Aerial Vehicles: A Review
Open accessAbstract
In recent decades, aerial robots especially small UAVs and drones have witnessed tremendous improvements in terms of their structure, working methodology, flying features and navigation control. UAVs are highly utilized in a wide range of services such as photography, path planning, search and rescue, inspection of power lines and civil constructions, etc. This manuscript reports a wide overview and comprehensive survey of recent developments in commercially available UAV’s and gives a brief note on the progress and research covered in last 10 years. The research presents a roadmap to understand the successive development of advanced drones/ UAVs in terms of their geometric structure, flying mechanism, sensing and vision ability, aviation quality, path planning, intelligent behaviour and adoptability. A literature survey is conducted systematically on 254 retrieved articles published in the last 10 years and scaled down to 96 relevant articles. In these shortlisted articles, path planning, neural network, artificial intelligence, inspection, surveillance, tracking and identification, etc. are the most relevant methodologies or applications presented. The current research is concerned about the growth and impact of UAVs/drones in the society and also inspires the newbies to carry research in this field and propose new methods to select or equip the flying robot for a specific application in various fields. This article also assists researchers in understanding and evaluating their research work in the context of existing solutions. It also helps newcomers and pilots/practitioners to quickly gain an overview of the existing vast literature in the related fields.
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Citations
Cites
Science, technology and the future of small autonomous drones
Floreano, D., & Wood, R. J. (2015) · Nature · doi:10.1038/nature14542 · Cited by 1,476
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
COVID-19 pandemic related supply chain studies: A systematic review
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Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
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Applications of artificial intelligence and machine learning in smart cities
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International Journal of Robust and Nonlinear Control
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The 2018 International Conference on Unmanned Aircraft Systems
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6G Wireless Systems: A Vision, Architectural Elements, and Future Directions
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Build Your Own Quadrotor: Open-Source Projects on Unmanned Aerial Vehicles
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Cited by
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
Reliable and Efficient Data Collection in UAV-based IoT Networks
Joshi, P., Kalita, A., & Gurusamy, M. (2023) · arXiv · doi:10.48550/arxiv.2311.05303 · Cited by 61
“UAVs can be obstructed from one another in a three-dimensional airspace [164].”
Metadata
- Authors
- Ahmed, F., Mohanta, J. C., Keshari, A., & Yadav, P. S.
- Venue
- Arabian Journal for Science and Engineering
- Published
- 2022-04-25
- Volume
- 47
- Issue
- 7
- Pages
- 7963-7984
- ISSN
- 1319-8025 (ISSN-L)
- 2193-567X
- 2191-4281
- OpenAlex
- W4224854590
- Cited by
- 328
- References
- 43
- FWCI
- 31.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ahmed, F., Mohanta, J. C., Keshari, A., & Yadav, P. S. (2022). Recent Advances in Unmanned Aerial Vehicles: A Review. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-022-06738-0
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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.