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Image based autonomous indoor parallel parking assist on omni-directional vehicle (ODV) [electronic resource] / Edwind Liaw Yee Kang

By:

Liaw, Edwind Yee Kang

Material type:

Computer filePublication details: Kuantan, Pahang : UMP, 2016Description: 1 computer disc : digital data ; 12 cmISBN:

THE0005065(Local)

Subject(s):

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Dissertation note: Project Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 Abstract: 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.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	FKP .L53 2016 r Bc. \| CD 10392 (Browse shelf(Opens below))	1	Not for loan		0000115907

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.

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