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Applying Artificial Intelligence, Machine Learning, and Software Production Factory to Accelerate Rapid Prototyping for Ground Vehicles SAIC
- Format:
- Book
- Conference/Event
- Author/Creator:
- Griffin, Kevin, author.
- Conference Name:
- 2025 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium (2025-08-12 : Novi, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-0430
- Access Restriction:
- Restricted for use by site license
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