基于可拓理论的无人驾驶汽车内饰设计  

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

作　　者：王体春[1] 许枫魁 Wang Ti-chun;Xu Feng-kui(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学机电学院,江苏南京210016

出　　处：《广东工业大学学报》2022年第2期1-11,共11页Journal of Guangdong University of Technology

基　　金：国家自然科学基金资助项目(51775272,51005114)。

摘　　要：为了对无人驾驶汽车内饰设计复杂问题进行明确量化、评价和提高设计效率,将可拓学应用于无人驾驶汽车内饰设计。提出面向无人驾驶汽车内饰设计问题的界定方法、共轭分析、方案生成算法以及构建了无人驾驶汽车内饰设计评价指标体系。以基于2030年90后父母、孩子和宠物狗一起去近郊旅游的无人驾驶汽车内饰设计为例,通过基于可拓理论的无人驾驶汽车内饰设计方案生成算法,获得3个有效的设计创意。并进行设计表达,使其具体化为设计方案,最后进行优度评价获得最优方案。设计结果验证了该方法的可行性和有效性。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 203090s 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.

关 键 词：无人驾驶汽车内饰设计 可拓设计 优度评价 方案优化 

分 类 号：TN122[电子电信—物理电子学]