2019 VOL.2 Feb No.1

• Title: Research on unmanned vehicles depth learning path based on Intelligent Control
• Name: Shoichi Sakamoto
• Company: Korea National University of Arts,Korea
• Abstract:

  In recent years, traffic accidents in China have occurred frequently, posing a great threat to people’s lives. Therefore, the proposed research unmanned intelligent vehicle control system based on the depth of learning. On the basis of GPS positioning system, combined with the path tracking controller, plus the rolling optimization modules and intelligent control algorithm to achieve a model of intelligent route control tracking operation. Through experiments and argumentation, the effectiveness of the unmanned path intelligent control system based on deep learning is determined. When the control path is complete, save labor and reduce traffic accidents.

  
  

• Keyword: deep learning; unmanned vehicle; driving path; intelligent control;
• DOI: 10.12250/jpciams2019010123
• Citation form: Shoichi Sakamoto.Research on unmanned vehicles depth learning path based on Intelligent Control[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 30-35.

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