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A hybrid approach to simultaneous localization and mapping in indoors environment
This thesis will present SLAM in the current literature to benefit from then it will present the investigation results for a hybrid approach used where different algorithms using laser, sonar, and camera sensors were tested and compared. The contribution of this thesis is the development of a hybrid...
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| Format: | Thesis |
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AUC Knowledge Fountain
2016
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| _version_ | 1867613409487355904 |
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| access_status_str | Open Access |
| author | Morssy, Amr |
| author_browse | Morssy, Amr |
| author_facet | Morssy, Amr |
| author_sort | Morssy, Amr |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | This thesis will present SLAM in the current literature to benefit from then it will present the investigation results for a hybrid approach used where different algorithms using laser, sonar, and camera sensors were tested and compared. The contribution of this thesis is the development of a hybrid approach for SLAM that uses different sensors and where different factors are taken into consideration such as dynamic objects, and the development of a scalable grid map model with new sensors models for real time update of the map.The thesis will show the success found, difficulties faced and limitations of the algorithms developed which were simulated and experimentally tested in an indoors environment. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-1350 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:41.195Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-1350 A hybrid approach to simultaneous localization and mapping in indoors environment Morssy, Amr This thesis will present SLAM in the current literature to benefit from then it will present the investigation results for a hybrid approach used where different algorithms using laser, sonar, and camera sensors were tested and compared. The contribution of this thesis is the development of a hybrid approach for SLAM that uses different sensors and where different factors are taken into consideration such as dynamic objects, and the development of a scalable grid map model with new sensors models for real time update of the map.The thesis will show the success found, difficulties faced and limitations of the algorithms developed which were simulated and experimentally tested in an indoors environment. 2016-02-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/351 https://fount.aucegypt.edu/context/etds/article/1350/viewcontent/Thesisupload.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain slam NA NA |
| spellingShingle | slam NA NA Morssy, Amr A hybrid approach to simultaneous localization and mapping in indoors environment |
| title | A hybrid approach to simultaneous localization and mapping in indoors environment |
| title_full | A hybrid approach to simultaneous localization and mapping in indoors environment |
| title_fullStr | A hybrid approach to simultaneous localization and mapping in indoors environment |
| title_full_unstemmed | A hybrid approach to simultaneous localization and mapping in indoors environment |
| title_short | A hybrid approach to simultaneous localization and mapping in indoors environment |
| title_sort | hybrid approach to simultaneous localization and mapping in indoors environment |
| topic | slam NA NA |
| url | https://fount.aucegypt.edu/etds/351 https://fount.aucegypt.edu/context/etds/article/1350/viewcontent/Thesisupload.pdf |
| work_keys_str_mv | AT morssyamr ahybridapproachtosimultaneouslocalizationandmappinginindoorsenvironment AT morssyamr hybridapproachtosimultaneouslocalizationandmappinginindoorsenvironment |