Surface Reconstruction Based on Geometric Primitive Feature Detection

Vehicle packaging design is a critical early stage in the vehicle concept development, focusing on the spatial arrangement of the driver's cockpit and passenger seating.Designing packaging that accommodates diverse driver anthropometries while satisfying ergonomic requirements and interiors accessibility remains challenging.Current approaches rely on a standard and single SAE Template as a reference driver.This template is manually positioned and iteratively revised in the vehicle packaging and supplemented by RAMSIS manikins in a later phase, but they cannot capture driver variability.The whole process is also time-consuming.This paper presents an automated method using seven digital driver models spanning a range of body sizes, generated via Algorithmic Design.Their individualized postures are obtained by solving an optimization problem subject to packaging geometry and joint angle constraints.The approach enables intuitive and dynamic assessment of vehicle packaging eectively, integrating realistic ergonomic and reachability considerations and supporting early-stage design optimization.