NDLI: An automobile detection algorithm development for automated emergency braking system

Content Provider	IEEE Xplore Digital Library
Author	Likun Xia Tran Duc Chung Abu Kassim, K.A.
Copyright Year	2014
Description	Author affiliation: Malaysian Inst. of Road Safety Res., Kajang, Malaysia (Abu Kassim, K.A.) \|\| Univ. Teknol. Petronas, Tronoh, Malaysia (Likun Xia; Tran Duc Chung)
Abstract	Automated emergency braking (AEB) systems become more and more important than ever in modern vehicles for assisting drivers in emergency driving situations. They mostly require fusion techniques for vehicle detection (camera and radar or stereo-vision system) that require complicated algorithms and additional costs. These have caused AEB systems less attractive to the market. This paper presents an automobile detection algorithm using single camera for the AEB system. The algorithm contains three main steps: background subtraction, thresholding, and inverted U-shape back wheel detection. The simulation under MATLAB environment provides 87.25% and 78% of detection rate and accuracy, respectively for a 1080×1920 pixel input image; 88.25% and 73.5% of detection rate and accuracy for a 480×640 pixel input image. Processing time achieved are 0.156s and 0.0297s accordingly.
Starting Page	1
Ending Page	6
File Size	802964
Page Count	6
File Format	PDF
ISBN	9781479930173
DOI	10.1145/2593069.2593083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Roads Cameras Accuracy Image sequences Image edge detection Wheels inverted U-shape AEB system region of interest (ROI) background subtraction thresholding
Content Type	Text
Resource Type	Article

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