Methods of Visual Navigation in the Task of Moon Landing

Bobkov, A.; Yang, Xu

doi:10.1016/j.procs.2019.02.039

Cited by 6 publications

(1 citation statement)

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“…Hybrid intelligent systems (HIS) allow the most efficient processing of formalized and non-formalized knowledge through the integration of both traditional data processing methods and artificial intelligence -expert and fuzzy methods, artificial neural networks, genetic algorithms, etc. (Dilip Kumar Choubey and Sanchita Paul, 2016; Adane Nega and Alemu Kumlachew, 2017;Bobkov, A.V. and Yang, Xu., 2019).…”

Section: Introductionmentioning

confidence: 99%

Application of the Methods of Hybrid Artificial Intelligence to Determine the Location of Objects by Their Photography

Berezkin¹,

Proletarsky²,

Sidorov³

et al. 2019

Proceedings of the 16th International Conference on Applied Computing 2019

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Successful assessment of the geolocation of photography can be used in many interesting projects, although this is an extremely difficult task. The article is devoted to the development of an approach to the creation of a hybrid intellectual system for determining the location of objects from their photographs. The analysis of existing approaches to the assessment of geolocation of photographs was carried out; a generalized structure of the hybrid intelligent system for determining the location of objects from their photographs was proposed. To assess the location, it is proposed to analyze both the data on the GPS coordinates of the original photo and those similar to it, and the classification of objects in the photo: city, nature. Geolocation is considered as a classification problem when the earth's surface is divided into disjoint adjacent cells.

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Section: Introductionmentioning

confidence: 99%