Parametric Vehicle Modeling

Parametric Vehicle Modeling is a computational framework within vehicle modeling that uses explicit design parameters and mathematical relationships to generate and modify vehicle systems or components, distinguishing itself from non-parametric approaches by enabling systematic, repeatable, and scalable analysis through adjustable input variables.

31

Publications

1.2K

Citations

89

Authors

44

Institutions

Publications per year

2017–2026

8

Authors

89

  1. JW
    J.Y. Wong

    Carleton University, Canada

    2 publications · 64 citations

    2

    h-index

  2. ML
    Markus Lienkamp

    Technical University of Munich, Germany

    2 publications · 38 citations

    2

    h-index

  3. AK
    Atul Kelkar

    Iowa State University, United States

    1 publications · 16 citations

    1

    h-index

  4. GT
    Ghassan T. Kridli

    University of Michigan–Dearborn, United States

    1 publications · 14 citations

    1

    h-index

  5. JS
    Julien Scharl

    Boeing (United States), United States

    1 publications · 15 citations

    1

    h-index

1–5 of 89

Venues

  1. 6

    h-index

  2. Vehicle System Dynamics

    2 publications · 71 citations

    2

    h-index

  3. 1

    h-index

  4. AIAA Guidance, Navigation, and Control Conference

    Conference · 1 publications · 16 citations

    1

    h-index

  5. The International Journal of Robotics Research

    IJRR · 1 publications · 16 citations

    1

    h-index

1–5