Object detection algorithm in a navigation system for a rescue drone

Object detection algorithm in a navigation system for a rescue drone

This article focuses on improving object recognition algorithms for rescue drones, in particular, enhancing the methodology for classifying human poses by expanding the set of key body points and using more effective mathematical models. A methodology is proposed that analyzes 11 key body points, e...

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Bibliographic Details
Main Authors: Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov
Format: Article
Language:English
Published: Lublin University of Technology 2025-06-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
UAV
neural network
behavior algorithms
artificial intelligence
automation
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/7090
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