Landmark Navigation in Low Illumination Using Omnidirectional Camera
Landmark based vision navigation for mobile robot is critically dependent on successful recognition of landmarks. Landmarks, artificial or natural, are subjected to sufficient illumination in order for a successful recognition. Sufficient illumination is even more critical when the mobile robot is u...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3416/1/PID2546469.pdf |
| _version_ | 1796989689080578048 |
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| author | Zahari, Taha Jessnor Arif, Mat Jizat |
| author_facet | Zahari, Taha Jessnor Arif, Mat Jizat |
| author_sort | Zahari, Taha |
| collection | UMP |
| description | Landmark based vision navigation for mobile robot is critically dependent on successful recognition of landmarks. Landmarks, artificial or natural, are subjected to sufficient illumination in order for a successful recognition. Sufficient illumination is even more critical when the mobile robot is used for indoor. In this paper, experiments were conducted to recognize artificial landmarks using omnidirectional vision under low illumination. The objective of this paper is to demonstrate that landmark navigation in low illumination can be conducted without illumination invariance step and without images distortion correction. This landmark recognition performance thus demonstrates the robustness of landmarks especially under low light condition. The landmarks used were standard (ISO15417) Code-128 barcodes. The barcodes are placed besides turning machine and the illuminance is measured by a luxmeter on each barcode. |
| first_indexed | 2024-03-06T11:40:48Z |
| format | Conference or Workshop Item |
| id | UMPir3416 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:40:48Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | UMPir34162018-01-22T02:46:14Z http://umpir.ump.edu.my/id/eprint/3416/ Landmark Navigation in Low Illumination Using Omnidirectional Camera Zahari, Taha Jessnor Arif, Mat Jizat TJ Mechanical engineering and machinery Landmark based vision navigation for mobile robot is critically dependent on successful recognition of landmarks. Landmarks, artificial or natural, are subjected to sufficient illumination in order for a successful recognition. Sufficient illumination is even more critical when the mobile robot is used for indoor. In this paper, experiments were conducted to recognize artificial landmarks using omnidirectional vision under low illumination. The objective of this paper is to demonstrate that landmark navigation in low illumination can be conducted without illumination invariance step and without images distortion correction. This landmark recognition performance thus demonstrates the robustness of landmarks especially under low light condition. The landmarks used were standard (ISO15417) Code-128 barcodes. The barcodes are placed besides turning machine and the illuminance is measured by a luxmeter on each barcode. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3416/1/PID2546469.pdf Zahari, Taha and Jessnor Arif, Mat Jizat (2012) Landmark Navigation in Low Illumination Using Omnidirectional Camera. In: The 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2012) , 26-28 November 2012 , Daejeon Convention Center (DCC), Daejeon, Korea. . (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery Zahari, Taha Jessnor Arif, Mat Jizat Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title | Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title_full | Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title_fullStr | Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title_full_unstemmed | Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title_short | Landmark Navigation in Low Illumination Using Omnidirectional Camera |
| title_sort | landmark navigation in low illumination using omnidirectional camera |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/3416/1/PID2546469.pdf |
| work_keys_str_mv | AT zaharitaha landmarknavigationinlowilluminationusingomnidirectionalcamera AT jessnorarifmatjizat landmarknavigationinlowilluminationusingomnidirectionalcamera |