Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11957
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dc.contributor.authorKriukov, Taras-
dc.contributor.authorYakovyn, Valentyna-
dc.date.accessioned2022-02-07T07:46:17Z-
dc.date.available2022-02-07T07:46:17Z-
dc.date.issued2021-12-16-
dc.identifier.citationT. 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.5987331uk_UA
dc.identifier.other10.5281/zenodo.5987331-
dc.identifier.urihttp://diit.edu.ua/upload/files/shares/9_Documents/news/Sbornik_XV_Modern_IT_conf.pdf-
dc.identifier.urihttp://hdl.handle.net/123456789/11957-
dc.description.abstractThis 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.uk_UA
dc.language.isoen_USuk_UA
dc.publisherUkrainian State University of Science and Technologiesuk_UA
dc.subjectobject detectionuk_UA
dc.subjectclassificationuk_UA
dc.subjectmachine learninguk_UA
dc.subjectcomputer visionuk_UA
dc.subjectmobile robotuk_UA
dc.titleEnhanced object detection for mobile robotuk_UA
dc.typeArticleuk_UA
Appears in Collections:Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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