SYSTEM FOR OBJECT LOCALIZATION IN ROBOTICS
DOI:
https://doi.org/10.24867/06BE42ArbanasKeywords:
senzors, machine vision, robotics, object detectionAbstract
This paper analyzes the development of a system that is able to detect objects of interest, and also find their position. A few approaches and solutions were analyzed, from using simple color detection sensor, to somewhat complicated systems that include image manipulation and machine learning. The system was implemented and the results are shown for different methods, from which the conclusions were drawn. At the very end, some potential improvements are explained that could increase the performance of the system.
References
[1] Richard Szeliski, „Computer Vision: Algorithms and Applications“, September 2010.
[2] Joseph Redmon , Santosh Divvala, Ross Girshick, Ali Farhadi, „You Only Look Once: Unified, Real-Time Object Detection“ University of Washington, 2016.
[3] https://medium.com/@jonathan_hui/map-mean-average-precision-for-object-detection-45c121a31173 (pristupljeno u septembru 2019.)
[2] Joseph Redmon , Santosh Divvala, Ross Girshick, Ali Farhadi, „You Only Look Once: Unified, Real-Time Object Detection“ University of Washington, 2016.
[3] https://medium.com/@jonathan_hui/map-mean-average-precision-for-object-detection-45c121a31173 (pristupljeno u septembru 2019.)
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Published
2019-12-30
Issue
Section
Electrotechnical and Computer Engineering