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IEEE White Paper : AI Meets VModel:2025
AI Meets the V-Model: Why It Is Not A Luxury, But A Necessity
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Artificial intelligence (AI) is rapidly changing the automotive industry. Advanced driver-assistance systems (ADAS) features, such as hands-free driving, intelligent braking, and real-time traffic sign recognition, driven by machine learning, are no longer science fiction. However, despite the excitement surrounding AI, a significant challenge has emerged: how can the automotive industry ensure that AI-driven functionality is implemented safely? This paper explores how traditional engineering processes, especially the V-model used in automotive development, can evolve to include AI safely and effectively. AI is not just a nice-to-have feature; it is becoming essential. The only way to build trust in autonomous and connected vehicles is to make AI safety a top priority from the very beginning of the development process.
Artificial intelligence (AI) is rapidly changing the automotive industry. Advanced driver-assistance systems (ADAS) features, such as hands-free driving, intelligent braking, and real-time traffic sign recognition, driven by machine learning, are no longer science fiction. However, despite the excitement surrounding AI, a significant challenge has emerged: how can the automotive industry ensure that AI-driven functionality is implemented safely? This paper explores how traditional engineering processes, especially the V-model used in automotive development, can evolve to include AI safely and effectively. AI is not just a nice-to-have feature; it is becoming essential. The only way to build trust in autonomous and connected vehicles is to make AI safety a top priority from the very beginning of the development process.
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Technical characteristics
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Publication Date | 09/24/2025 |
| Page Count | 12 |
| EAN | --- |
| ISBN | --- |
| Weight (in grams) | --- |
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