Blind user indoor environment mapping system for self-localization
This paper described blind user indoor environment mapping system for self-localization via webcam camera. The method used is based on robot navigation systems which capture and build panorama map of the floor. The map is then incrementally update its position as it moves throughout an environment....
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
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2011
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| author | Samsudin, S.S. Mokhtar, Norrima Arof, Hamzah Ibrahim, F. Iwahashi, M. |
| author_facet | Samsudin, S.S. Mokhtar, Norrima Arof, Hamzah Ibrahim, F. Iwahashi, M. |
| author_sort | Samsudin, S.S. |
| collection | UM |
| description | This paper described blind user indoor environment mapping system for self-localization via webcam camera. The method used is based on robot navigation systems which capture and build panorama map of the floor. The map is then incrementally update its position as it moves throughout an environment. Image registration techniques are applied to measure translation distance and rotation angle between consecutive frames. We used Phase only correlation (POC) method to matched image differs only by a translation. For rotated image, RI-POC and Radon Transform is used to recovered rotation. The accuracy of these two methods for rotated image is compared for best result. |
| first_indexed | 2024-03-06T05:16:03Z |
| format | Conference or Workshop Item |
| id | um.eprints-6130 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:16:03Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | um.eprints-61302018-10-11T03:34:35Z http://eprints.um.edu.my/6130/ Blind user indoor environment mapping system for self-localization Samsudin, S.S. Mokhtar, Norrima Arof, Hamzah Ibrahim, F. Iwahashi, M. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper described blind user indoor environment mapping system for self-localization via webcam camera. The method used is based on robot navigation systems which capture and build panorama map of the floor. The map is then incrementally update its position as it moves throughout an environment. Image registration techniques are applied to measure translation distance and rotation angle between consecutive frames. We used Phase only correlation (POC) method to matched image differs only by a translation. For rotated image, RI-POC and Radon Transform is used to recovered rotation. The accuracy of these two methods for rotated image is compared for best result. 2011 Conference or Workshop Item PeerReviewed Samsudin, S.S. and Mokhtar, Norrima and Arof, Hamzah and Ibrahim, F. and Iwahashi, M. (2011) Blind user indoor environment mapping system for self-localization. In: 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, 2011, Xi'an. http://www.scopus.com/inward/record.url?eid=2-s2.0-80053160507&partnerID=40&md5=36da41a52746eec04630a07f0159d494 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Samsudin, S.S. Mokhtar, Norrima Arof, Hamzah Ibrahim, F. Iwahashi, M. Blind user indoor environment mapping system for self-localization |
| title | Blind user indoor environment mapping system for self-localization |
| title_full | Blind user indoor environment mapping system for self-localization |
| title_fullStr | Blind user indoor environment mapping system for self-localization |
| title_full_unstemmed | Blind user indoor environment mapping system for self-localization |
| title_short | Blind user indoor environment mapping system for self-localization |
| title_sort | blind user indoor environment mapping system for self localization |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
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