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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Silva, J., Mendonça, R., Marques, F., Rodrigues, P., Santana, P. & Barata, J. (2014). Saliency-based cooperative landing of a multirotor aerial vehicle on an autonomous surface vehicle. In 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), Proceedings. Bali: IEEE.
Exportar Referência (IEEE)
J. Silva et al.,  "Saliency-based cooperative landing of a multirotor aerial vehicle on an autonomous surface vehicle", in 2014 IEEE Int. Conf. on Robotics and Biomimetics (ROBIO 2014), Proc., Bali, IEEE, 2014
Exportar BibTeX
@inproceedings{silva2014_1783578384362,
	author = "Silva, J. and Mendonça, R. and Marques, F. and Rodrigues, P. and Santana, P. and Barata, J.",
	title = "Saliency-based cooperative landing of a multirotor aerial vehicle on an autonomous surface vehicle",
	booktitle = "2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), Proceedings",
	year = "2014",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ROBIO.2014.7090550",
	publisher = "IEEE",
	address = "Bali",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/7062021/proceeding"
}
Exportar RIS
TY  - CPAPER
TI  - Saliency-based cooperative landing of a multirotor aerial vehicle on an autonomous surface vehicle
T2  - 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), Proceedings
AU  - Silva, J.
AU  - Mendonça, R.
AU  - Marques, F.
AU  - Rodrigues, P.
AU  - Santana, P.
AU  - Barata, J.
PY  - 2014
DO  - 10.1109/ROBIO.2014.7090550
CY  - Bali
UR  - https://ieeexplore.ieee.org/xpl/conhome/7062021/proceeding
AB  - This paper presents a method for vision-based landing of a multirotor unmanned aerial vehicle (UAV) on an autonomous surface vehicle (ASV) equipped with a helipad. The method includes a mechanism for helipad behavioural search when outside the UAV’s field of view, a learning saliency-based mechanism for visual tracking the helipad, and a cooperative strategy for the final vision-based landing phase. Learning how to track the helipad from above occurs during takeoff and cooperation results from having the ASV tracking the UAV for assisting its landing. A set of experimental results with both simulated and physical robots show the feasibility of the presented method.
ER  -