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Mathematical Problems in Engineering
Volume 2016, Article ID 7802798, 16 pages
http://dx.doi.org/10.1155/2016/7802798
Research Article

Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach

1School of Electronic & Information Engineering, Beihang University, Beijing, China
2School of Information Science & Electric Engineering, Shandong Jiaotong University, Jinan, China
3School of General Aviation, Civil Aviation Management Institute of China, Beijing, China
4MAIAA Laboratory, Ecole Nationale de l’Aviation Civile, Toulouse, France

Received 18 March 2016; Accepted 21 August 2016

Academic Editor: Mauro Pontani

Copyright © 2016 Yang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yang Liu, Xuejun Zhang, Xiangmin Guan, and Daniel Delahaye, “Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach,” Mathematical Problems in Engineering, vol. 2016, Article ID 7802798, 16 pages, 2016. https://doi.org/10.1155/2016/7802798.