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2016 | OriginalPaper | Buchkapitel

Vision-Based Person Detection for Safe Navigation of Commercial Vehicle

verfasst von : Songlin Piao, Karsten Berns

Erschienen in: Intelligent Autonomous Systems 13

Verlag: 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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Fußnoten
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Metadaten
Titel
Vision-Based Person Detection for Safe Navigation of Commercial Vehicle
verfasst von
Songlin Piao
Karsten Berns
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-08338-4_38