Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/11957
Title: | Enhanced object detection for mobile robot |
Authors: | Kriukov, Taras Yakovyn, Valentyna |
Keywords: | object detection classification machine learning computer vision mobile robot |
Issue Date: | 16-Dec-2021 |
Publisher: | Ukrainian State University of Science and Technologies |
Citation: | T. Kriukov, V. Yakovyn, "Enhanced object detection for mobile robot," in Proc. XV International Conference on Modern Information and Communication Technologies in Transport Industry and Education, Dnipro, Ukraine, Dec. 16-17, 2021, p. 141, doi: 10.5281/zenodo.5987331 |
Abstract: | This paper presents an enhanced object detection method based on a combination of YOLO detector followed by a classification engine. Our research was conducted using computational experiments and modeling techniques. Combination of classical one stage object detection and classification results in an increase of overall intersection over union (IoU) metric more than 8%. The results were discussed and interpreted. |
URI: | http://diit.edu.ua/upload/files/shares/9_Documents/news/Sbornik_XV_Modern_IT_conf.pdf http://hdl.handle.net/123456789/11957 |
Appears in Collections: | Наукові роботи студентів, магістрантів, аспірантів (ФМІ) |
Files in This Item:
File | Description | Size | Format | |
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kriukov_yakovyn_1.pdf | 15.9 kB | Adobe PDF | View/Open |
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