Object detection in mobile robotics

Yakovyn, Valentyna; Kriukov, Taras

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/17410

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DC Field	Value	Language
dc.contributor.author	Yakovyn, Valentyna	-
dc.contributor.author	Kriukov, Taras	-
dc.date.accessioned	2023-10-09T06:29:15Z	-
dc.date.available	2023-10-09T06:29:15Z	-
dc.date.issued	2022-11-29	-
dc.identifier.citation	V. Yakovyn and T. Kriukov, "Software architecture design of software developed in student engineering teams," 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, Nov. 29-30, 2022, pp. 310-312, doi: 10.5281/zenodo.8418713	uk_UA
dc.identifier.isbn	978-966-640-534-3	-
dc.identifier.other	10.5281/zenodo.8418713	-
dc.identifier.uri	https://zenodo.org/record/8418713	-
dc.identifier.uri	http://hdl.handle.net/123456789/17410	-
dc.description.abstract	This paper presents an improved object detection method based on a combination of one-stage object detector followed by an additional classification stage. The article reports an increase in the IoU metric by 8%, classification accuracy by 7%, and f1-score by 5%.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 in mobile robotics	uk_UA
dc.type	Article	uk_UA
Appears in Collections:	Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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