The Unseen Layers: Joyepic’s Guide to Autonomous Driving Architecture
Autonomous driving architectures are often discussed in terms of sensors and compute, but the real challenges lie in the layers that connect perceptio...
8 articles in this category
Autonomous driving architectures are often discussed in terms of sensors and compute, but the real challenges lie in the layers that connect perceptio...
Automated driving has left the lab and entered the product cycle. Yet the gap between a working prototype and a production-grade system that brings jo...
Introduction: Rethinking the Architectural FoundationAutomated driving architectures have evolved significantly beyond the traditional perception-plan...
Understanding the Latency Challenge in Automated DrivingIn my practice working with automotive clients since 2012, I've observed that most organizatio...
Automated driving systems (ADS) are routinely tested against known scenarios — lane changes, pedestrian crossings, traffic light variations. But the r...
When a production automated driving system loses steering assist at highway speed, the fallback plan can't be 'pull over when safe.' The system must c...
In centralized compute platforms for automated driving, cache hierarchy design is the invisible battleground that determines latency, determinism, and...
Introduction: Finding Beauty in the Inevitable HauntingIn my practice, I've come to view legacy automotive bus architectures not as mere technical deb...