Abstract
In order to improve the function of driver-assistance system, this paper proposes a real-time detection method of zebra crossing based on the on-board monocular camera, it doesn’t only detect the zebra crossings we can see from the road, but also detect some zebra crossings obscured by other objects. Firstly, integral method based on horizontal projection is used to separate possible zebra crossings from lane. However, the integral of other road traffic signs may be similar to a zebra crossing, in order to overcome this problem, the number of identifier are calculated respectively for each effective projection region, it is obvious that the number of zebra crossing are more than others, experimental results show that our method proposed in this paper is effective.
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Acknowledgements
This work was supported by Science Technique Department of Guizhou Province of China ([2014]2096).
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Chen, Z.S., Zhang, D.F. (2018). An Effective Detection Algorithm of Zebra-Crossing. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_81
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DOI: https://doi.org/10.1007/978-981-10-7986-3_81
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