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6 March 2018 Route constraints model based on polychromatic sets
Xianjun Yin, Chao Cai, Houjun Wang, Dongwu Li
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Proceedings Volume 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging; 1061008 (2018) https://doi.org/10.1117/12.2288325
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
With the development of unmanned aerial vehicle (UAV) technology, the fields of its application are constantly expanding. The mission planning of UAV is especially important, and the planning result directly influences whether the UAV can accomplish the task. In order to make the results of mission planning for unmanned aerial vehicle more realistic, it is necessary to consider not only the physical properties of the aircraft, but also the constraints among the various equipment on the UAV. However, constraints among the equipment of UAV are complex, and the equipment has strong diversity and variability, which makes these constraints difficult to be described. In order to solve the above problem, this paper, referring to the polychromatic sets theory used in the advanced manufacturing field to describe complex systems, presents a mission constraint model of UAV based on polychromatic sets.
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Xianjun Yin, Chao Cai, Houjun Wang, and Dongwu Li "Route constraints model based on polychromatic sets", Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061008 (6 March 2018); https://doi.org/10.1117/12.2288325
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KEYWORDS
Statistical modeling
Unmanned aerial vehicles
Matrices
Computer programming
Inertial navigation systems
Mathematical modeling
Navigation systems
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