Simultaneous localization and mapping: issues and approaches
Nowadays, with technological advances in the science of robotics, We've seen building the robots to work autonomously in other planets, under seas and oceans and each unknown environments. Considering that the robots do not have any information about the environment, should have the ability to...
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| Format: | Article |
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2013
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| _version_ | 1796857940965064704 |
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| author | Mahrami, Mohsen Islam, Md. Nazrul Karimi, Ramin |
| author_facet | Mahrami, Mohsen Islam, Md. Nazrul Karimi, Ramin |
| author_sort | Mahrami, Mohsen |
| collection | ePrints |
| description | Nowadays, with technological advances in the science of robotics, We've seen building the robots to work autonomously in other planets, under seas and oceans and each unknown environments. Considering that the robots do not have any information about the environment, should have the ability to build environment map on the move and also estimate its location on that map correctly. This action is called Simultaneous Localization and Mapping (SLAM). Mapping is to obtain a model of the robot environment, and localization is to estimate the position of robot in obtained map. For building map, we need to acknowledge about location of robot and for localization we need to map (chicken and egg problem), so the SLAM is a hard and famous problem in robotic word. In this study, we will explain related issues and parameters that are necessary for investigate and work on the SLAM problem. |
| first_indexed | 2024-03-05T19:05:18Z |
| format | Article |
| id | utm.eprints-40797 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:05:18Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | utm.eprints-407972017-08-13T01:20:51Z http://eprints.utm.my/40797/ Simultaneous localization and mapping: issues and approaches Mahrami, Mohsen Islam, Md. Nazrul Karimi, Ramin QA75 Electronic computers. Computer science Nowadays, with technological advances in the science of robotics, We've seen building the robots to work autonomously in other planets, under seas and oceans and each unknown environments. Considering that the robots do not have any information about the environment, should have the ability to build environment map on the move and also estimate its location on that map correctly. This action is called Simultaneous Localization and Mapping (SLAM). Mapping is to obtain a model of the robot environment, and localization is to estimate the position of robot in obtained map. For building map, we need to acknowledge about location of robot and for localization we need to map (chicken and egg problem), so the SLAM is a hard and famous problem in robotic word. In this study, we will explain related issues and parameters that are necessary for investigate and work on the SLAM problem. 2013 Article PeerReviewed Mahrami, Mohsen and Islam, Md. Nazrul and Karimi, Ramin (2013) Simultaneous localization and mapping: issues and approaches. International Journal of Computer Science and Telecommunications, 4 (7). pp. 1-7. ISSN 2047-3338 |
| spellingShingle | QA75 Electronic computers. Computer science Mahrami, Mohsen Islam, Md. Nazrul Karimi, Ramin Simultaneous localization and mapping: issues and approaches |
| title | Simultaneous localization and mapping: issues and approaches |
| title_full | Simultaneous localization and mapping: issues and approaches |
| title_fullStr | Simultaneous localization and mapping: issues and approaches |
| title_full_unstemmed | Simultaneous localization and mapping: issues and approaches |
| title_short | Simultaneous localization and mapping: issues and approaches |
| title_sort | simultaneous localization and mapping issues and approaches |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT mahramimohsen simultaneouslocalizationandmappingissuesandapproaches AT islammdnazrul simultaneouslocalizationandmappingissuesandapproaches AT karimiramin simultaneouslocalizationandmappingissuesandapproaches |