Object detection and image classification for mobile robotics applications

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11956

Title:	Object detection and image classification for mobile robotics applications
Authors:	Kriukov, Taras Yakovyn, Valentyna
Keywords:	computer vision object detection image classification machine learning mobile robotics software tools
Issue Date:	10-Dec-2019
Publisher:	Vasyl Stefanyk Precarpathian National University
Citation:	T. Kriukov and V. Yakovyn, "Object detection and image classification for mobile robotics applications," in Proceedings of the 2019 Scientific Seminar on Innovative Solutions in Software Engineering, Ivano-Frankivsk, Ukraine, Dec. 10, 2019, pp. 24-25, doi: 10.5281/zenodo.5989163
Abstract:	This paper presents an improved object detection method based on a combination of one-stage detector followed by an additional classification stage. The research was conducted using computational experiments and modeling techniques. The results were discussed and interpreted.
URI:	http://hdl.handle.net/123456789/11956
Appears in Collections:	Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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