Biological Eagle-eye Inspired Target Detection for Unmanned Aerial Vehicles Equipped with a Manipulator-Reference-Cited by-同舟云学术

Biological Eagle-eye Inspired Target Detection for Unmanned Aerial Vehicles Equipped with a Manipulator

Published:2023-03-07 Issue:5 Volume:20 Page:741-752
ISSN:2731-538X
Container-title:Machine Intelligence Research
language:en
Short-container-title:Mach. Intell. Res.

Author:

Deng Yi-Min^ORCID,Wang Si-Yuan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Modeling and Simulation,Signal Processing,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11633-022-1342-3.pdf

Reference44 articles.

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3. D. Morrison, P. Corke, J. Leitner. Learning robust, real-time, reactive robotic grasping. The International Journal of Robotics Research, vol. 39, no. 2–3, pp. 183–201, 2020. DOI: https://doi.org/10.1177/0278364919859066.

4. J. Thomas, G. Loianno, K. Sreenath, V. Kumar. Toward image based visual servoing for aerial grasping and perching. In Proceedings of IEEE International Conference on Robotics and Automation, IEEE, Hong Kong, China, pp. 2113–2118, 2014. DOI: https://doi.org/10.1109/ICRA.2014.6907149.

5. J. González-Martín-Moro, J. L. Hernández-Verdejo, A. Clement-Corral. The visual system of diurnal raptors: Updated review. Archivos de la Sociedad Española de Oftalmología, vol. 92, no. 5, pp. 225–232, 2017. DOI: https://doi.org/10.1016/e.oftal.2016.11.019.

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