Optimization of processing time for vision based one-channel around view monitoring system on embedded platform /

Around View Monitoring (AVM) system is widely used as a part of driver assistance system. AVM helps driver to see blind-spot region and drive through narrow space by providing a 360-degree sight of the car’s surrounding from the top view. The project will implement a vision based one-channel AVM sys...

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Bibliographic Details
Main Author: Nurul Hidayah Mahamud (auhtor)
Format: Thesis Book
Language:English
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/11233
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100 0 |a Nurul Hidayah Mahamud  |9 23832  |e auhtor 
245 |a Optimization of processing time for vision based one-channel around view monitoring system on embedded platform /  |c by Nurul Hidayah Binti Mahamud 
264 1 |a Kuala Lumpur :  |b Kulliyyah of Engineering, International Islamic University Malaysia,  |c 2021 
300 |a xiii, 78 leaves :  |b color illustrations ;  |c 30cm. 
336 |2 rdacontent  |a text 
337 |2 rdamedia  |a unmediated 
337 |2 rdamedia  |a computer 
338 |2 rdacarrier  |a volume 
338 |2 rdacarrier  |a online resource 
347 |a text file  |b PDF  |2 rdaft 
500 |a Abstracts in English and Arabic.  
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Master of Science in (Mechatronics Engineering)." --On title page.  
502 |a Thesis (MSMCT)--International Islamic University Malaysia, 2021.  
504 |a Includes bibliographical references (leaves 72-75).  
520 |a Around View Monitoring (AVM) system is widely used as a part of driver assistance system. AVM helps driver to see blind-spot region and drive through narrow space by providing a 360-degree sight of the car’s surrounding from the top view. The project will implement a vision based one-channel AVM system on embedded board and focused on the algorithm optimization to improve the system’s processing speed. Two embedded boards, Telechip TCC 8971 SoC (Cortex-A7 quad-core) and Renesas R-Car H2 (Cortex-A15 quad-core) are used for this project and a PC platform of Intel i7 core is used to benchmark the processing speed of running the same algorithm on PC. Embedded board has a limited processing power and memory compared to standard PC platform. The common challenges of running an image processing on embedded board is that image processing requires high processing power and large memory to support pixel by pixel computation. The research objective focused on identifying the issues of running the AVM system on embedded board and implements several optimization methods to improve the initial processing time of the system. The thesis explains the use of Yocto Project to setup the embedded development board and algorithm porting. Several techniques of optimizations are presented in this thesis including multi-threading and the use of Qt OpenGL for GPU-accelerated output image rendering. The final optimization improved the total processing time of AVM system by 54.29 % on Telechip board, 52.04 % on Renesas board and 61.64% in PC platform. 
650 0 |9 12912  |a Automobiles  |x Design and construction  |x Optical methods 
650 0 |9 19464  |a Driver assistance systems 
655 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Mechatronics Engineering  |z IIUM  |9 1666 
700 0 |a Zulkifli Zainal Abidin  |e degree supervisor  |9 34031 
700 0 |a Yasir Mohd. Mustafah  |e degree supervisor  |9 34032 
710 2 |a International Islamic University Malaysia.  |b Department of Mechatronics Engineering 
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