02251nmm a2200313 a 4500 vtls000098372 KUKTEM 20251117113325.0 161209s2016 my fq d 001 0 eng d THE0005065(Local) 201905101515 hanafiah 201712261214 nazri 201612091146 saini UMP FKP .L53 2016 r Bc. CD 10392 Liaw, Edwind Yee Kang Image based autonomous indoor parallel parking assist on omni-directional vehicle (ODV) [electronic resource] / Edwind Liaw Yee Kang Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Manufacturing Engineering Theses Gred A Project Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 Nowadays, 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. Item in pdf format Faculty of Manufacturing Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/3993 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKP .L53 2016 r Bc. | CD 10392 0000115907 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6737 6743 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992