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- 저자 : Longtan Wang (검색결과 2 건)
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Vision Based Robot for Recognizing and Grasping Fast Moving Conveyor Products
Longtan Wang,Zhitao Wang,Ho-Yun Yu,Hwi-Myung Ha,Yun-Ki Kim,Jang-Myung Lee 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper presents a vision guided robot for recognizing and grasping moving objects on the conveyor belt. An industrial camera is utilized to capture the image of moving objects. A robust vision system is applied for recognizing and estimating the moving object in real time. Objects are recognized by using SURF(Speeded-Up Robust Features) key point detector and FLANN(Fast Library for Approximate Nearest Neighbor) based matcher. Then Rotating calipers algorithm is adopted to estimate the centroid position and orientation of the objects. A simple path planning scheme will thus be assigned based on the information obtained from vision system. Experimental result demonstrates that the approach is efficient and reliable.
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Triaxial Shear Behavior of Basalt Fiber-Reinforced Loess Based on Digital Image Technology
Jian Xu,Zhipeng Wu,Hui Chen,Longtan Shao,Xiangang Zhou,Songhe Wang 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.10
Engineering construction in loess areas often requires improvement of loess. Basalt fiber-reinforced soil due to complexity of material composition often exhibits poorly predictable mechanical behavior. In this study, digital image technology-based unconsolidated-undrained (UU) triaxial shear tests were carried out on loess samples at three fiber lengths (L) and four fiber contents (η). Results prove the improvement of the shear strength of loess by basalt fiber inclusion, which varies in inverted u-shaped pattern with fiber length or fiber content, with the maximum at η = 0.6%, L = 12 mm. Digital Image Technology was employed to analyze the damage characteristics and strain field of the surface of the sample at different loading time. The volumetric strain of the reinforced sample decreases at higher fiber content or fiber length, from shear contraction to dilatancy. The unreinforced sample exhibits a typical brittle failure mode with visible shear band, while plastic failure for reinforced samples with an overall bulging failure mode. A statistical damage constitutive model of fiber-reinforced loess was established with limited parameters calibrated. The rationality of the model was verified by comparisons of measured and calculated stress-strain data.
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