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

Full metadata record

DC Field	Value	Language
dc.contributor.author	Kriukov, Taras	-
dc.contributor.author	Yakovyn, Valentyna	-
dc.date.accessioned	2022-02-07T07:45:43Z	-
dc.date.available	2022-02-07T07:45:43Z	-
dc.date.issued	2019-12-10	-
dc.identifier.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	uk_UA
dc.identifier.other	10.5281/zenodo.5989163	-
dc.identifier.uri	http://hdl.handle.net/123456789/11956	-
dc.description.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.	uk_UA
dc.language.iso	en_US	uk_UA
dc.publisher	Vasyl Stefanyk Precarpathian National University	uk_UA
dc.subject	computer vision	uk_UA
dc.subject	object detection	uk_UA
dc.subject	image classification	uk_UA
dc.subject	machine learning	uk_UA
dc.subject	mobile robotics	uk_UA
dc.subject	software tools	uk_UA
dc.title	Object detection and image classification for mobile robotics applications	uk_UA
dc.type	Article	uk_UA
Appears in Collections:	Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

Files in This Item:

File	Description	Size	Format
9_kriukov_yakovyn.pdf		200.87 kB	Adobe PDF	View/Open

DSpace JSPUI