Journal of Guangdong University of Technology ›› 2022, Vol. 39 ›› Issue (02): 1-11.doi: 10.12052/gdutxb.210167

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A Research on Interior Design of Self-driving Car Based on Extenics

Wang Ti-chun, Xu Feng-kui   

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2021-11-02 Online:2022-03-10 Published:2022-04-02

Abstract: In order to clearly quantify and evaluate the complex issues in the interior design of self-driving car, and improve design efficiency, extension is applied to the interior design of self-driving car, and the definition of interior design problems proposed for self-driving car methods, conjugate analysis, generating algorithm and constructing an evaluation index system for the interior design of unmanned vehicles. Taking the self-driving car interior design based on the 2030 90s parents, children and pet dogs traveling together in the suburbs as an example, through the self-driving car interior design scheme generation algorithm based on the extension theory, three effective designs of creativity are first obtained, and the designs expressed to make them concrete into a design plan, and a goodness evaluation finally performed to obtain the optimal plan. The design results verify the feasibility and effectiveness of the method.

Key words: self-driving car interior design, extension design, goodness evaluation, scheme optimization

CLC Number: 

  • TN122
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