Using deep neural networks to classify symbolic road markings for autonomous vehicles

HIGHLIGHTS

  • who: Daniel Suarez-Mash from the School of Computing, Electronics and Maths, Coventry University, FB, UK have published the article: Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles, in the Journal: (JOURNAL)
  • what: The authors proposed a two-stage deep learning model aimed at detecting SRMs. The aims of this paper are categorised into three parts. The dataset was obtained from the research presented and downloaded from http://www.ananth.in/RoadMarkingDetection.html. With regards to the models presented based on SqueezeNet and GoogleNet, the results are promising.

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