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A Study on Deep Learning-based Pedestrian Detection and Alarm System
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딥러닝 기반의 보행자 탐지 및 경보 시스템 연구

논문 기본 정보

Type
Academic journal
Author
Journal
한국ITS학회 한국ITS학회 논문지 한국ITS학회 논문지 제18권 제4호 KCI Accredited Journals
Published
2019.1
Pages
58 - 70 (13page)

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A Study on Deep Learning-based Pedestrian Detection and Alarm System
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Abstract· Keywords

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In the case of a pedestrian traffic accident, it has a large-scale danger directly connected by a fatal accident at the time of the accident. The domestic ITS is not used for intelligent risk classification because it is used only for collecting traffic information despite of the construction of good quality traffic infrastructure. The CNN based pedestrian detection classification model, which is a major component of the proposed system, is implemented on an embedded system assuming that it is installed and operated in a restricted environment. A new model was created by improving YOLO's artificial neural network, and the real-time detection speed result of average accuracy 86.29% and 21.1 fps was shown with 20,000 iterative learning. And we constructed a protocol interworking scenario and implementation of a system that can connect with the ITS. If a pedestrian accident prevention system connected with ITS will be implemented through this study, it will help to reduce the cost of constructing a new infrastructure and reduce the incidence of traffic accidents for pedestrians, and we can also reduce the cost for system monitoring.
#Pedestrian traffic accident prevention #CNN #YOLO #ITS #UTIS

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References (13)

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Dalal N / 2005 / Histograms of Oriented Gradients for Human Detection / IEEE Computer Society :886~893 google schola Darknet J. Redmon / Open source neural networks in c google schola Everingham M / 2010 / The PASCAL Visual Object Classes (VOC) Challenge / International Journal of Computer Vision manuscript :11 google schola https://github.com/AlexeyAB/Yolo_mark google schola Kim J / 2016 / Lane Detection System using CNN / Institute Embedded Engineering of Korea :163~169 google schola

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