Title
The Visual Positioning Method of Substation Robot Busbars fittings
Abstract
This paper analyzes the disassembly and installation of busbar fittings bolts for substation robots in 110 kv environment, and proposes image self-correction, template segmentation fitting arc and panel pose correction for visual positioning of busbar fittings. The image self-correction solves the quality problem of the fitting image acquisition of the complex illumination condition by rectifying the overall of dark images and the local of bright images. The template segmentation fitting arc method performs multiple segmentation and arc fitting techniques on the fitting template image to accurately calculate the centroid of the fitting, thereby completing the visual positioning of installing bolt. The panel pose is solved by disparity map. Through the panel pose correction, the binocular camera can take photo vertically and use template segmentation to locate the bolt, thereby completing the visual positioning of removing bolt. The appeal method is based on the specific conditions of the disassembly and assembly of the busbar fittings, which solves the problem of large changes in ambient illumination during the visual positioning of the busbar fittings and the uncertainty of the shooting pose.
Year
DOI
Venue
2018
10.1109/SPAC46244.2018.8965606
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
Keywords
DocType
ISBN
live working robot,visual positioning,image self-correction,template segmentation,panel pose correction
Conference
978-1-7281-0552-9
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Chang Tan1486.22
Weihua Cao27616.43
Xin Chen32211.93
Min Wu43582272.55
Zhentao Liu512118.68
Jinbin Li600.34