Abstract
This paper presents a solution based on Tensorflow platform and R - FCN deep learning model about self-driving cars image processing. Through the Supervised learning of data sets, make them exercise the image segmentation and recognition of information, thus to self-driving cars driving decision-making support.
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Acknowledgement
Thanks to Beimen Shenzhou Special Vehicle Laboratory, School of Computer Science, Beijing Information Science and Technology University, School of Vehicle Engineering, Tsinghua University.
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Zhang, Y., Ma, Y., Zhang, F. (2019). Application of R-FCN Algorithm in Machine Visual Solutions on Tensorflow Based. In: Krömer, P., Zhang, H., Liang, Y., Pan, JS. (eds) Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2018. Advances in Intelligent Systems and Computing, vol 891. Springer, Cham. https://doi.org/10.1007/978-3-030-03766-6_41
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DOI: https://doi.org/10.1007/978-3-030-03766-6_41
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