Autonomous Indoor Passageway Finding Using 3D Scene Reconstruction with Stereo Vision

淡江大學機構典藏 > 工學院 > 航空太空工程學系暨研究所 > 期刊論文 > Item 987654321/119731

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题名:	Autonomous Indoor Passageway Finding Using 3D Scene Reconstruction with Stereo Vision
作者:	HSIAO, FU-YUEN;LEE, PO-YI
关键词:	Stereo vision;Indoor navigation;Sum of squared differences (SSD);3D scene reconstruction
日期:	2020-11-13
上传时间:	2020-12-16 12:10:13 (UTC+8)
出版者:	AASRC
摘要:	This paper studies an algorithm that navigates a robot in an unknown environment with a stereo vision system. Different from a commonly used SLAM method that computes the distance between the robot and a landmark, our study intends to autonomously find an opening, such as a hallway or a window, for the robot to pass. After transforming the regular RGB images, we perform the 3D scene reconstruction in the gray-scale space. The sum of squared differences (SSD) algorithm is applied to match pixels and estimate the shifting distances. An algorithm is proposed to determine the passageway of the environment for guidance purpose. Experiments are presented to demonstrate the validity of our study, and compared with the commercial Kinect kit. The result of the research is especially applicable to surveil in an unknown building or an indoor disaster site.
關聯:	Journal of Aeronautics Astronautics and Aviation 52(4), p.361-370
DOI:	10.6125/JoAAA.202012_52(4).02
显示于类别:	[航空太空工程學系暨研究所] 期刊論文

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