Creating cross-over vehicles: Defining and combining vehicle classes using shape grammars

Authors:
Seth Orsborn;Jonathan Cagan;Richard Pawlicki;Randall C. Smith
Affiliations:
Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Research & Development Division, General Motors, Detroit, Michigan, USA;Research & Development Division, General Motors, Detroit, Michigan, USA
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
2006

Citing 0
Cited 3

Evolving product form designs using parametric shape grammars integrated with genetic programming

Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Using evolutionary design to interactively sketch car silhouettes and stimulate designer's creativity

Engineering Applications of Artificial Intelligence
Product Design Generation and Decision Making Through Strategic Integration of Evolutionary Grammars and Kano Model

International Journal of Intelligent Information Technologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the push for new vehicle designs, the distinctions between vehicle classes are quickly becoming blurred. We use shape grammars to quantify the differences between vehicle classes through the application of class-specific rules and the constraint of rule applications to within parametric ranges determined for each class. This allows for the development of new vehicle forms that clearly fall within a class or purposefully cross over the boundaries of classes and mix rules and ranges to create unique and interesting cross-over vehicles.