Deep Learning-based Target Following and Obstacle Avoidance Methods in Mobile Robots
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, M.C. | - |
dc.contributor.author | Lee, M. | - |
dc.date.accessioned | 2024-01-09T04:33:59Z | - |
dc.date.available | 2024-01-09T04:33:59Z | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69898 | - |
dc.description.abstract | In this study, we develop a companion robot function that can recognize people and obstacles, and track the human target while avoiding the obstacles. In implementing the JetBot tracking function, a deep learning-based object detection model is modified and utilized. A transfer learning algorithm with a pretrained mobile model is introduced for a feasible operation in the proposed framework with mobile robots. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Deep Learning-based Target Following and Obstacle Avoidance Methods in Mobile Robots | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICCE-Asia57006.2022.9954653 | - |
dc.identifier.bibliographicCitation | 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85143847529 | - |
dc.citation.title | 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | companion robot | - |
dc.subject.keywordAuthor | mobile robot | - |
dc.subject.keywordAuthor | object avoidance | - |
dc.subject.keywordAuthor | object detection and classification | - |
dc.subject.keywordAuthor | object tracking | - |
dc.description.journalRegisteredClass | scopus | - |
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