Applying Artificial Intelligence, Machine Learning, and Software Production Factory to Accelerate Rapid Prototyping for Ground Vehicles

2025-01-0430

09/16/2025

Authors Abstract
Content
In the ever-evolving landscape of ground vehicle development, the integration of Artificial Intelligence (AI), Machine Learning (ML), and Software Production Factory (SPF) technologies offers unprecedented opportunities to accelerate rapid prototyping processes. This whitepaper explores the synergistic potential of these cutting-edge technologies, detailing their transformative impact on the design, development, and deployment of advanced ground vehicle systems. By leveraging AI and ML algorithms, engineers can automate complex design tasks, predict performance outcomes, and optimize configurations with unparalleled precision. Enhanced modeling and simulation capabilities driven by AI and ML, combined with Digital Engineering threads and twin, allow for more accurate virtual testing environments, reducing the need for physical prototypes and accelerating the iterative design process. This whitepaper serves as a crucial guide for stakeholders seeking to harness the full potential of these technologies in ground vehicle prototyping, ultimately driving forward the future of mobility solutions.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-0430
Pages
8
Citation
Griffin, K., Kanon, R., Rinaldo, A., and Kouba, R., "Applying Artificial Intelligence, Machine Learning, and Software Production Factory to Accelerate Rapid Prototyping for Ground Vehicles," SAE Technical Paper 2025-01-0430, 2025, https://doi.org/10.4271/2025-01-0430.
Additional Details
Publisher
Published
Sep 16
Product Code
2025-01-0430
Content Type
Technical Paper
Language
English