Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment

A. Abdulov, A. Abramenkov, A. Shevlyakov
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引用次数: 4

Abstract

Using simulators and virtual environments can simplify the development and testing of various control, behavior and navigation scenarios significantly. In this article we describe our experience using the ROS environment and the Gazebo simulator to develop an autonomous multicopter UAV that can navigate an unknown building and locate an exit using computer vision techniques.
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虚拟室内环境下多旋翼机模型自主导航的视觉里程计方法
使用模拟器和虚拟环境可以大大简化各种控制、行为和导航场景的开发和测试。在本文中,我们描述了我们使用ROS环境和Gazebo模拟器开发自主多旋翼无人机的经验,该无人机可以导航未知建筑物并使用计算机视觉技术定位出口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
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0.00%
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0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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