The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires
Abstract
This paper presents a cooperative perception system for multiple heterogeneous unmanned aerial vehicles (UAVs). It considers different kind of sensors: infrared and visual cameras and fire detectors. The system is based on a set of multipurpose low‐level image‐processing functions including segmentation, stabilization of sequences of images, and geo‐referencing, and it also involves data fusion algorithms for cooperative perception. It has been tested in field experiments that pursued autonomous multi‐UAV cooperative detection, monitoring, and measurement of forest fires. This paper presents the overall architecture of the perception system, describes some of the implemented cooperative perception techniques, and shows experimental results on automatic forest fire detection and localization with cooperating UAVs. © 2006 Wiley Periodicals, Inc.
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Citations
Cites
A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004
A visual odometer for autonomous helicopter flight
Amidi, O., Kanade, T., & Fujita, K. (1999) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(99)00016-0 · Cited by 148
Cited by
Talaviya, T., Shah, D., Patel, N., Yagnik, H., & Shah, M. (2020) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2020.04.002 · Cited by 915
Yuan, C., Zhang, Y., & Liu, Z. (2015) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2014-0347 · Cited by 639
Mobile Edge Intelligence and Computing for the Internet of Vehicles
Zhang, J., & Letaief, K. B. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2947490 · Cited by 537
Monocular‐SLAM–based navigation for autonomous micro helicopters in GPS‐denied environments
Weiss, S., Scaramuzza, D., & Siegwart, R. (2011) · Journal of Field Robotics · doi:10.1002/rob.20412 · Cited by 414
Maza, I., Caballero, F., Capitán, J., Martínez-de-Dios, J. R., & Ollero, A. (2011) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-010-9497-5 · Cited by 405
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Metadata
- Authors
- Merino, L., Caballero, F., Martínez‐de Dios, J. R., Ferruz, J., & Ollero, A.
- Venue
- Journal of Field Robotics
- Publisher
- Wiley
- Published
- 2006-03
- Volume
- 23
- Issue
- 3-4
- Pages
- 165-184
- ISSN
- 1556-4959 (ISSN-L)
- 1556-4967
- OpenAlex
- W1990822420
- Cited by
- 299
- References
- 2
- FWCI
- 33.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Merino, L., Caballero, F., Martínez‐de Dios, J. R., Ferruz, J., & Ollero, A. (2006). A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires. Journal of Field Robotics. https://doi.org/10.1002/rob.20108
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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.
