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2016 | OriginalPaper | Chapter

Vision-Based Person Detection for Safe Navigation of Commercial Vehicle

Authors : Songlin Piao, Karsten Berns

Published in: Intelligent Autonomous Systems 13

Publisher: Springer International Publishing

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Abstract

Vision-Based solution of safe navigation for commercial vehicles with fish-eye camera is presented in this paper. This work aims to develop a system which is able to detect persons or objects around commercial vehicles for preventing any accidents. This is achieved by integrating classifier-based window searching algorithm and ego-motion-based algorithm into the system. The classifier is trained using cascaded support vector machine and ego-motion is estimated only based on captured images from camera. Test results show that designed system provides high detection rate when it is applied in commercial vehicle.

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Footnotes
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Metadata
Title
Vision-Based Person Detection for Safe Navigation of Commercial Vehicle
Authors
Songlin Piao
Karsten Berns
Copyright Year
2016
Book
Intelligent Autonomous Systems 13

Print ISBN: 978-3-319-08337-7

Electronic ISBN: 978-3-319-08338-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-08338-4_38

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