Citation

Md Sani, Zamani and Ab. Ghani, Hadhrami and Besar, Rosli and Azizan, Azizul and Abas, Hafiza (2018) Real-Time Video Processing using Contour Numbers and Angles for Non-urban Road Marker Classification. International Journal of Electrical and Computer Engineering (IJECE), 8 (4). p. 2540. ISSN 2088-8708

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Abstract

Road users make vital decisions to safely maneuver their vehicles based on the road markers, which need to be correctly classified. The road markers classification is significantly important especially for the autonomous car technology. The current problems of extensive processing time and relatively lower average accuracy when classifying up to five types of road markers are addressed in this paper. Two novel real time video processing methods are proposed by extracting two formulated features namely the contour number, , and angle,

Item Type:	Article
Uncontrolled Keywords:	Auto assist driving system, Road marker classifications, Video image processing
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	16 Mar 2021 02:10
Last Modified:	16 Mar 2021 02:10
URII:	http://shdl.mmu.edu.my/id/eprint/7468

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