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.
CITATION STYLE
Piao, S., & Berns, K. (2016). Vision-based person detection for safe navigation of commercial vehicle. In Advances in Intelligent Systems and Computing (Vol. 302, pp. 513–524). Springer Verlag. https://doi.org/10.1007/978-3-319-08338-4_38
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