64743

Автор(ы): 

Автор(ов): 

6

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Intelligent System for Planning Group Actions of Unmanned Aircraft in Observing Mobile Objects on the Ground in the Specified Area

ISBN/ISSN: 

1064-2307

DOI: 

10.1134/S1064230721030047

Наименование источника: 

  • Journal of Computer and Systems Sciences International

Обозначение и номер тома: 

Vol. 60, No. 3

Город: 

  • NY

Издательство: 

  • Pleiades Publishing, Ltd

Год издания: 

2021

Страницы: 

379–395
Аннотация
The multicriteria task of preflight and operational planning of group actions of unmanned aerial vehicles (UAVs), taking into account the required service schedule, is considered. A minimax criterion for the operational planning of group actions when the dynamic situation changes is proposed. The shape of the expert system for controlling the duration of observation during the search and detection of ground objects is formed. The obtained results of assessing the quality of the solution to the subproblem of neural network recognition of mobile objects based on deep learning confirm the effectiveness of the proposed approach in monitoring the controlled area.

Библиографическая ссылка: 

Гончаренко В.И., Желтов С.Ю., Князь В.А., Лебедев Г.Н., Михайлин Д.А., Царева О.Ю. Intelligent System for Planning Group Actions of Unmanned Aircraft in Observing Mobile Objects on the Ground in the Specified Area // Journal of Computer and Systems Sciences International. 2021. Vol. 60, No. 3. С. 379–395.