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Conference Paper A Study on Recognition of Flexible Cable on Cable Rack using Point Cloud Data
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Authors
Ji Sung Lee, Donghyung Kim, Hyeon Sung Cho, Myoungchan Roh, Joong Bae Kim
Issue Date
2021-10
Citation
International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-2
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
We present a methodology for recognizing flexible cables on cable racks using point cloud data. To distinguish each cable hanging on a cable rack, we applied the DBSCAN method, a density-based method of clustering. Depending on the case of cable hanging and the field of view of the camera, there is a problem of recognizing one cable as a different cluster. We solved this problem by applying a methodology to obtain and compare color distributions for each cluster via the K-means clustering method. Finally, we distinguish cables and recognize each cable number by comparing the predefined color distribution database with the color distribution of each cluster.
KSP Keywords
Density-based method, Distribution database, Field of View(FoV), Flexible cable, K-means clustering method, Method of clustering, Point Cloud Data, color distribution