Abstract
In order to improve the atmospheric environment monitoring mechanism and realize the construction of environmental maps, this paper proposes a proximity factor concentration fusion method for the problem of sub-map fusion to the construction of multiple rotorcrafts maps. The method refines the neighboring sub-maps to coincide with the boundary concentration factor and calculates the concentration factor of the overlapping area based on the factor mean algorithm to obtain a complete gas concentration map. The fusion of two sub-concentration maps is taken as an example in this paper. The two sub-concentration maps with short time difference before and after are fused into a map, and then the feasibility of the fusion method is verified by Fluent and Matlab simulation experiments, which provides the research foundation for the fusion of multiple gas concentration maps.
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Acknowledgements
This work is supported by four Projects from National Natural Science Foundation of China (60705035, 61075087, 61573263, 61273188), Scientific Research Plan Key Project of Hubei Provincial Department of Education (D20131105), and Project supported by the Zhejiang Open Foundation of the Most Important Subjects, also supported by Zhejiang Provincial Natural Science Foundation under Grant LY16F030007 and Hubei Province Science and Technology Support Project under Grant 2015BAA018.
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Bao, P., Cheng, L., Wang, X., Liu, Q., Yu, Q. (2019). Multiple Rotorcrafts Environment Map Fusion for Atmosphere Monitoring. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_10
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DOI: https://doi.org/10.1007/978-981-13-6733-5_10
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