Probability machine-learning-based communication and operation optimization for cloud-based UAVs-Reference-Cited by-同舟云学术

Probability machine-learning-based communication and operation optimization for cloud-based UAVs

Published:2019-01-04 Issue:10 Volume:76 Page:8101-8117
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Jeong Hyeok-June,Choi Suh-Yong,Jang Sung-Su,Ha Young-Guk

Funder

Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea governmen

Konkuk University's research support program for its faculty on sabbatical leave in 2017.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-018-2728-4.pdf

Reference21 articles.

1. Hu G, Tay WP, Wen Y (2012) Cloud robotics: architecture, challenges and applications. IEEE Netw 26(3):21–28

2. Jeong H-J et al (2014) Mathematical modeling of a multilayered drift-stabilization method for micro-UAVs using inertial navigation unit sensor. J Appl Math 2014:1–11

3. Mercado DA et al (2013) GPS/INS/optic flow data fusion for position and velocity estimation. In: 2013 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE

4. Carrio A et al (2017) A review of deep learning methods and applications for unmanned aerial vehicles. J Sens 2017(2):1–13

5. Waharte S, Trigoni N (2010) Supporting search and rescue operations with UAVs. In: 2010 International Conference on Emerging Security Technologies (EST). IEEE

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