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Realtime Robust Shape Estimation of Deformable Linear Object
March 26, 2024, 4:48 a.m. | Jiaming Zhang, Zhaomeng Zhang, Yihao Liu, Yaqian Chen, Amir Kheradmand, Mehran Armand
cs.CV updates on arXiv.org arxiv.org
Abstract: Realtime shape estimation of continuum objects and manipulators is essential for developing accurate planning and control paradigms. The existing methods that create dense point clouds from camera images, and/or use distinguishable markers on a deformable body have limitations in realtime tracking of large continuum objects/manipulators. The physical occlusion of markers can often compromise accurate shape estimation. We propose a robust method to estimate the shape of linear deformable objects in realtime using scattered and unordered …
abstract arxiv control cs.cv cs.ro images limitations linear object objects planning realtime robust tracking type
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