| 000 | 01941nam a2200241 a 4500 | ||
|---|---|---|---|
| 001 | vtls000065161 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204520.0 | ||
| 008 | 121018t2012 my da f m 000 0 eng d | ||
| 020 | _aTHE0006108(Local) | ||
| 039 | 9 |
_a201905151516 _baida _c201211071140 _dhuda _c201211071005 _dida _y201210181529 _zhuda |
|
| 040 | _aUMP | ||
| 090 | _aTJ211.495 .A85 2012 rs Bc. | ||
| 100 | 0 | _aNurul Atiqah Syazwani Kamarudin | |
| 245 | 1 | 0 |
_aLandmark detection for vision based of autonomous guided vehicle / _cNurul Atiqah Syazwani Kamarudin |
| 260 |
_aKuantan, Pahang : _bUMP, _c2012 |
||
| 300 |
_axiii, 76 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM |
||
| 502 | _aProject paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012 | ||
| 504 | _aBibliography : p. 69-71 | ||
| 520 | 3 | _aThe creation of Autonomous Guided Vehicle (AGV) gives many advantages in our lives. This thesis is focused on navigation control system for an Autonomous Guided Vehicle (AGV) by detecting and recognizing artificial landmark with using USB webcam. USB webcam act as sensor that provides the appropriate information for the AGV navigation and landmark detection. This project involved single vision system. The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. Non-landmark might possibly have the same features or characteristic with landmarks. The landmarks must be detected and recognized by vision sensor accurately in a real-time. The landmarks are in the form of shape that consists of command for the movement, direction and position of AGV. The key study in this project is the algorithm design. | |
| 650 | 0 | _aAutonomous robots | |
| 999 |
_aVIRTUA40 _c3356 _d3362 |
||
| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992 | ||