WSNs and on-Board Visual Fuzzy Servoing on Blimp Robot for Tracking Purposes

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2016-01-01 DOI:10.17706/ijcce.2016.5.3.215-221

R. Al-Jarrah, M. Al-Jarrah, H. Roth

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引用次数: 2

Abstract

The aerial robots represent an interested and rich area of research because they are very useful to perform complex tasks such as localization and tracking targets. To develop blimp system that is appropriate in diversity scenarios, an intelligent control with high autonomy degree is required. Therefore, we design blimp robot based on embedded system; then, we present several fuzzy sets models that should deal with autonomous, navigation and visual tracking problems. These models are empirically designed by combining the possibilities distributions theory with fuzzy logic. Thus, this paper addresses the problem of tracking robots in parallel with achieving the cooperative behavior based on computer vision system and artificial intelligent control to improve the efficiency of such system. In addition, considering use of wireless sensor networks for estimation multi-targets locations and the distances between them is presented.

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用于跟踪目的的飞艇机器人的无线传感器网络和机载视觉模糊伺服

空中机器人代表了一个有趣而丰富的研究领域，因为它们在执行复杂任务(如定位和跟踪目标)方面非常有用。为了开发适用于多种场景的飞艇系统，需要具有高度自治程度的智能控制。因此，我们设计了基于嵌入式系统的飞艇机器人;然后，我们提出了几个模糊集模型，应该处理自主，导航和视觉跟踪问题。这些模型是将可能性分布理论与模糊逻辑相结合进行经验设计的。因此，本文解决了基于计算机视觉系统和人工智能控制的机器人跟踪与实现协同行为并行的问题，以提高系统的效率。此外，提出了利用无线传感器网络估计多目标位置和目标间距离的方法。

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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World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering

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