无人驾驶是汽车行业未来重要发展趋势之一，而无人驾驶汽车及相关技术的发展对汽车造型设计提出了新的挑战与变革的契机：无人驾驶技术既为汽车造型形态研究提供了更大空间，也对造型设计与空气动力学的融合提出了更高要求。本课题拟针对无人汽车造型的独特性，引入形态参量模型建构与迭代算法思想，探索建立融合气动力学修正算法的无人驾驶汽车造型形态推衍迭代设计方法。研究工作包括：提取形态原始特征参量；进行形态视知觉特征参量研究并建立形态视知觉推衍算法；进行形态气动力学特征参量研究并建立形态气动力学修正算法；进行无人驾驶汽车造型约束条件数据模型研究；基于上述研究，建立融合气动力学修正算法的无人驾驶汽车造型形态推衍迭代设计方法。以上研究将填补国际上无人驾驶汽车造型设计领域的理论空白，并为我国无人驾驶汽车领域的发展提供支撑。

Autonomous vehicle is one of the important future trends in car industry, the development of autonomous vehicle and related technology would present new challenges and revolutionary opportunities for automotive styling: autonomous driving technology provides space for form research of automotive styling as well as requests better fusion of styling and aerodynamics. This research focuses on the specificity of autonomous vehicles, considering the construction of form parameter model and iterative algorithm theory, explores to build a form deduction iterative design method for autonomous vehicle styling fusing aerodynamics modification algorithm. The research work includes: defining original feature parameters of forms; researching visual perceptual feature parameters and related deduction algorithm of forms; researching aerodynamic feature parameters and related modification algorithm of forms; building data model of the styling constraint conditions of autonomous vehicles; on the basis of former research, building a form deduction iterative design method for autonomous vehicle styling fusing aerodynamics modification algorithm. This research will fill the international theory gap in autonomous vehicle field, and provide strong support for the development of autonomous vehicle field in China.