An fpga-based neuro-fuzzy sensor for personalized driving assistance

HIGHLIGHTS

• who: Óscar Mata-Carballeira and collaborators from the Department of Electricity and Electronics, Faculty of Science and Technology, University of the Basque Country have published the research work: An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance, in the Journal: (JOURNAL)
• what: This work proposes an intelligent neuro-fuzzy sensor for style (DS) recognition suitable for ADAS enhancement. A different approach was chosen in the work by the authors of_[25], where a learning, hidden Markov model-based driver model, combined with a model predictive control (MPC) algorithm, was used to create personalized driver . . .
  

   

  

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