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Application of R-FCN Algorithm in Machine Visual Solutions on Tensorflow Based

  • Yumeng Zhang
  • Yanchao Ma
  • Fuquan ZhangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 891)

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.

Keywords

Deep learning Image processing Machine vision Autonomous driving 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Beijing Information Science Technology UniversityBeijingChina
  2. 2.School of Computer Science and TechnologyBeijing Institute of TechnologyBeijingChina
  3. 3.Fujian Provincial Key Laboratory of Information Processing and Intelligent ControlMinjiang UniversityFuzhouChina

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