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

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...

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Bibliographic Details
Main Authors: Siti Khairatul Atika, Ahmad Kamal, Ahmad Shahrizan, Abdul Ghani
Format: Conference or Workshop Item
Language:English
English
Published: 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22426/1/45.%20Implementation%20of%20aggregate%20channel%20feature%20%28ACF%29%20function%20detector.pdf
http://umpir.ump.edu.my/id/eprint/22426/2/45.1%20Implementation%20of%20aggregate%20channel%20feature%20%28ACF%29%20function%20detector.pdf
http://umpir.ump.edu.my/id/eprint/22426/
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Summary: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.