02546nmm a2200301 a 4500 vtls000100079 KUKTEM 20251117113329.0 170505t2016 my mr1 fq d 0 0eng d THE0005132(Local) 201905131534 hanafiah 201712141253 nazri 201705051623 zul UMP FKEE .H37 2016 r Bc CD 10711 Nurul Hasna Hassan Intermittent measurement analysis for mobile robot application / Nurul Hasna bt Hassan Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Electrical and Electronics Engineering Project Paper (Bachelors of Electrical Engineering (Electronics)) -- University Malaysia Pahang – 2016 This research is about the investigating of the condition during intermittent measurement when Extended Kalman Filter (EKF) is applied for Simultaneous Localization and Mapping (SLAM) problem of mobile robot during measuring and estimating its environment while updating its location consistently. This problem is being analyzed because to reduce the mobile robot uncertainties or covariance state during it is working also to prevent data loosing that to be updated to the monitor. There are two purposes of this research. Firstly is to determine the performance of Extended Kalman Filter based Simultaneous Localization and Mapping (SLAM) and secondly is to determine the condition during intermittent measurement when Extended Kalman Filter (EKF) is applied for Simultaneous Localization and Mapping (SLAM) problem. Simultaneous Localization and Mapping (SLAM) method is used in achieving the objective; to determine the condition of statistical bound during intermittent measurement. A few technical approaches such as Extended Kalman Filter (EKF), H infinity Filter, Unscented Kalman Filter (UKF) and Particle Filter are used for estimation purposes. EKF is the most recommended method for SLAM solution. This is because the filter offers simple algorithm to follow and has lower computational cost compared to others. Item in pdf format Faculty of Electrical and Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25632 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKEE .H37 2016 r Bc | CD 10711 0000117727 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6842 6848 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5200*5380*6100*6500*6501*8560*9992