| 000 | 02546nmm a2200301 a 4500 | ||
|---|---|---|---|
| 001 | vtls000100079 | ||
| 003 | KUKTEM | ||
| 005 | 20251117113329.0 | ||
| 008 | 170505t2016 my mr1 fq d 0 0eng d | ||
| 020 | _aTHE0005132(Local) | ||
| 039 | 9 |
_a201905131534 _bhanafiah _c201712141253 _dnazri _y201705051623 _zzul |
|
| 040 | _aUMP | ||
| 090 | _aFKEE .H37 2016 r Bc | ||
| 090 | _aCD 10711 | ||
| 100 | 0 | _aNurul Hasna Hassan | |
| 245 | 1 | 0 |
_aIntermittent measurement analysis for mobile robot application / _cNurul Hasna bt Hassan |
| 260 |
_aKuantan, Pahang : _bUMP, _c2016 |
||
| 300 |
_a1 computer disc : _bdigital data ; _c12 cm. |
||
| 500 | _aFaculty of Electrical and Electronics Engineering | ||
| 502 | _aProject Paper (Bachelors of Electrical Engineering (Electronics)) -- University Malaysia Pahang – 2016 | ||
| 520 | 3 | _aThis 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. | |
| 538 | _aItem in pdf format | ||
| 610 | 2 | 0 |
_aFaculty of Electrical and Electronics Engineering _xDissertations |
| 650 | 0 |
_aUniversities and Colleges _xDissertations |
|
| 650 | 0 | _aTheses | |
| 856 | 4 | 0 |
_uhttp://ecollib.ump.edu.my/id/eprint/25632 _zAccess in library only |
| 999 |
_aVIRTUA40 _c6842 _d6848 |
||
| 999 | _aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5200*5380*6100*6500*6501*8560*9992 | ||