Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/17410
Title: | Object detection in mobile robotics |
Authors: | Yakovyn, Valentyna Kriukov, Taras |
Keywords: | computer vision object detection image classification machine learning mobile robotics software tools |
Issue Date: | 29-Nov-2022 |
Publisher: | Vasyl Stefanyk Precarpathian National University |
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 |
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. |
URI: | https://zenodo.org/record/8418713 http://hdl.handle.net/123456789/17410 |
ISBN: | 978-966-640-534-3 |
Appears in Collections: | Наукові роботи студентів, магістрантів, аспірантів (ФМІ) |
Files in This Item:
File | Description | Size | Format | |
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2022_ICISSE_Yakovyn_Kriukov.pdf | 364.22 kB | Adobe PDF | View/Open |
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