Xia, L. and Chung, T.D. and Kassim, K.A.A. (2014) An automobile detection algorithm development for automated emergency braking system. In: UNSPECIFIED.
Full text not available from this repository.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 stereovision 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 1080x1920 pixel input image; 88.25 and 73.5 of detection rate and accuracy for a 480x640 pixel input image. Processing time achieved are 0.156s and 0.0297s accordingly. Copyright 2014 ACM.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 9; Conference of 51st Annual Design Automation Conference, DAC 2014 ; Conference Date: 2 June 2014 Through 5 June 2014; Conference Code:105714 |
Uncontrolled Keywords: | Automobiles; Cameras; Computer aided design; Image segmentation; MATLAB; Pixels; Signal detection, AEB system; Background subtraction; Inverted u shapes; Region of interest; Thresholding, Algorithms |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:17 |
Last Modified: | 09 Nov 2023 16:17 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/5292 |