Abstract
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.
Department
Robotics, Control & Smart Systems Program
Degree Name
MS in Robotics, Control and Smart Systems
Graduation Date
2-1-2016
Submission Date
July 2016
First Advisor
Habib, Maki
Committee Member 1
Gaafar, Lotfi
Committee Member 2
Abdennadher, Slim
Extent
285 p.
Document Type
Master's Thesis
Rights
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.
Institutional Review Board (IRB) Approval
Not necessary for this item
Recommended Citation
APA Citation
Morssy, A.
(2016).A hybrid approach to simultaneous localization and mapping in indoors environment [Master's Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/etds/351
MLA Citation
Morssy, Amr. A hybrid approach to simultaneous localization and mapping in indoors environment. 2016. American University in Cairo, Master's Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/etds/351
Comments
This work has been supervised by Prof. Dr. Maki Habib