Application of Computer Vision Technologies for Autonomous Pile Manipulation

Environment. Technology. Resources: Proceedings of the 12th International Scientific and Practical Conference. Vol.2 2019
Artjoms Supoņenkovs, Mihails Kovaļovs, Zigurds Markovičs

Modern robots can perform uncreative monotonous tasks. One of such tasks is pile manipulation. Computer vision technologies can help robots acquire additional information by analyzing a pile of complex objects. One of such complex objects is a fish. The presented work investigates the problems of complex object analysis using computer vision. This paper addresses the challenges of image pre-processing, image segmentation, fish detection and occlusion detection. This work results can be useful for developing a computer vision system for pile manipulation.

Keywords
computer vision; image pre - processing; fish analysis; pile manipulation; occlusion boundaries; image segmentation
DOI
10.17770/etr2019vol2.4033
Hyperlink
http://journals.ru.lv/index.php/ETR/article/view/4033

Supoņenkovs, A., Kovaļovs, M., Markovičs, Z. Application of Computer Vision Technologies for Autonomous Pile Manipulation. In: Environment. Technology. Resources: Proceedings of the 12th International Scientific and Practical Conference. Vol.2, Latvia, Rezekne, 20-22 June, 2019. Rezekne: Rezekne Academy of Technologies, 2019, pp.159-164. ISSN 1691-5402. e-ISSN 2256-070X. Available from: doi:10.17770/etr2019vol2.4033

Publication language
English (en)