000 02251nmm a2200313 a 4500
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003 KUKTEM
005 20251117113325.0
008 161209s2016 my fq d 001 0 eng d
020 _aTHE0005065(Local)
039 9 _a201905101515
_bhanafiah
_c201712261214
_dnazri
_y201612091146
_zsaini
040 _aUMP
090 _aFKP .L53 2016 r Bc.
090 _aCD 10392
100 1 _aLiaw, Edwind Yee Kang
245 1 0 _aImage based autonomous indoor parallel parking assist on omni-directional vehicle (ODV)
_h[electronic resource] /
_cEdwind Liaw Yee Kang
260 _aKuantan, Pahang :
_bUMP,
_c2016
300 _a1 computer disc :
_bdigital data ;
_c12 cm.
500 _aFaculty of Manufacturing Engineering
500 _aTheses Gred A
502 _aProject Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520 3 _aNowadays, Omni-Directional Vehicle (ODV) has been widely used in many fields to perform autonomous missions. Equipped with sensors and pre-programmed navigation systems, ODV can be designed to replace humans in performing dangerous tasks in various fields such as planet exploration and industrial applications. In this research, the implementation of image processing techniques on vehicle’s control has been proposed to develop autonomous indoor parallel parking assist on ODV. The image processing algorithm is first developed using Visual Studio C++ and OpenCV. The electrical circuit of the ODV has been designed and installed. Then, the developed image processing algorithm is integrated with the microcontroller of the ODV, Arduino Mega 2560. After that, an experimental environment has been constructed and set-up to test and analyze the performance of the developed system. As a result, the proposed and developed system is able to work in indoor lighting range.
538 _aItem in pdf format
610 2 0 _aFaculty of Manufacturing Engineering
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
856 4 0 _uhttp://ecollib.ump.edu.my/id/eprint/3993
_zAccess in library only
999 _aVIRTUA40
_c6737
_d6743
999 _aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992