Engineers, buckle up: My latest podcast episode dives deep into Automotive AI, straight from the pages of my 2024 book. Where do neural networks crash into ISO 26262? Spoiler: It’s messier than a foggy autobahn with faulty LiDAR
Podcast Highlights
This audio journey unpacks safety-critical AI in cars—no hype, just hardcore tech from my paper on Functional Safety, Machine Learning, and EGAS concepts. Key takeaways:
- Supervised vs. unsupervised learning: Why onboard prediction beats offboard dreams for real-time ADAS.
- CNNs and RNNs wrestling Big Data: Pattern recognition that doesn’t hallucinate (much).
- ISO 26262 pitfalls: From hazard analysis to tool qualification, AI exposes the standard’s soft spots.
- Sarcasm bonus: Because „self-driving utopia“ deserves a reality check
