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

<div class="section abstract"><div class="htmlview paragraph">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.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-09-16
DOI
https://doi.org/10.4271/2025-01-0430
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Kevin Griffin, Andrea Rinaldo, Russ Kouba, Robert J. Kanon
SAE technical papers on CD-ROM/SAE technical paper series
Manufacturing Process and Optimization
article

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

Kevin Griffin, Andrea Rinaldo, Russ Kouba, Robert J. Kanon
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">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.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
United States Department of the Army (US), United States Army Combat Capabilities Development Command (US)
Openalex Percentile: Top 65%
Manufacturing Process and Optimization
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Applying Artificial Intelligence, Machine Learning, and Software Production Factory to Accelerate Rapid Prototyping for Ground Vehicles — Kevin Griffin, Andrea Rinaldo, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS