Citation Export
DC Field | Value | Language |
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dc.contributor.author | Chen, Haichuan | - |
dc.contributor.author | Shan, Gaoyang | - |
dc.contributor.author | Roh, Byeong Hee | - |
dc.contributor.author | Kim, Sj | - |
dc.contributor.author | Lim, Junghyun | - |
dc.contributor.author | Choi, Geunkyung | - |
dc.date.issued | 2024-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/37126 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85187007901&origin=inward | - |
dc.description.abstract | In this paper, we propose a computer vision-based indoor spatial recognition method. The proposed method recognizes objects in a 360-degree space and eliminates errors in the process in which the space's visual landmark map (VLM) is constructed by considering the 360-degree spatial arrangement and relative coordinates between the recognized objects. The method divides the target space into subspaces, and individual VLMs are applied to each subspace. The VLMs for these subspaces are activated based on their arrangement. When matching images from a camera with VLMs, the system identifies the user's location within the space. An experiment demonstrated the effectiveness of the proposed method in accurately recognizing the user's indoor position, and the data size for maintaining the VLM is highly efficient. | - |
dc.description.sponsorship | This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2023-2018-0-01431) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation) | - |
dc.description.sponsorship | This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2023-2018-0-01431) supervised by the IITP (Institute for Information and Communications Technology Planning and Evaluation) | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Indoor localization | - |
dc.subject.mesh | Monocular cameras | - |
dc.subject.mesh | Recognition methods | - |
dc.subject.mesh | Relative coordinates | - |
dc.subject.mesh | Spatial arrangements | - |
dc.subject.mesh | Spatial recognition | - |
dc.subject.mesh | Target space | - |
dc.subject.mesh | Vision based | - |
dc.subject.mesh | Visual landmark map | - |
dc.subject.mesh | Visual landmarks | - |
dc.title | Visual Landmark Map-Based Spatial Recognition Using a Monocular Camera | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2024.1.6. ~ 2024.1.8. | - |
dc.citation.conferenceName | 2024 IEEE International Conference on Consumer Electronics, ICCE 2024 | - |
dc.citation.edition | 2024 IEEE International Conference on Consumer Electronics, ICCE 2024 | - |
dc.citation.title | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.identifier.bibliographicCitation | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.identifier.doi | 10.1109/icce59016.2024.10444228 | - |
dc.identifier.scopusid | 2-s2.0-85187007901 | - |
dc.subject.keyword | Computer Vision | - |
dc.subject.keyword | Indoor Localization | - |
dc.subject.keyword | Monocular Camera | - |
dc.subject.keyword | Spatial Recognition | - |
dc.subject.keyword | Visual Landmark Map (VLM) | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Industrial and Manufacturing Engineering | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
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