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Implementation of aggregate channel feature (ACF) function detector feature-based vehicle detection for an autonomous vehicle detection

Siti Khairatul Atika, Ahmad Kamal and Ahmad Shahrizan, Abdul Ghani (2018) Implementation of aggregate channel feature (ACF) function detector feature-based vehicle detection for an autonomous vehicle detection. In: 10th National Technical Seminar on Underwater System Technology 2018 (NUSYS'18), 26 - 27 September 2018 , Universiti Malaysia Pahang. pp. 1-15.. (Unpublished)

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Abstract

Current research shows that an autonomous vehicle is being widely re-searched to increase safety on the road. In this research, computer vision system for an autonomous vehicle is important system that is needed as it mimics the human eyes and brain on road. By implementing some of image processing technique, a data of camera vision obtained. This research is focusing on implementation of Aggregate Channel Fea-ture (ACF) function detector feature-based vehicle detection for an autonomous vehicle detection. ACF is used for vehicle recognition and detection. This technique analyzing the feature of the vehicles based on the series of image data. Besides that, we are apply-ing Contrast-limited adaptive histogram equalization (CLAHE) image enhancement technique for more accurate vehicle recognition and detection.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Autonomous Vehicle; Computer Vision; Image Processing; Vehicle Detection; Image Enhancement
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 13 Dec 2018 01:06
Last Modified: 13 Dec 2018 01:06
URI: http://umpir.ump.edu.my/id/eprint/22426
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