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Crash Test Intelligence: How Agentic AI Is Reinventing Autonomous Vehicle Safety

Test lab. That phrase still sounds reassuring: white floors, controlled equipment, engineers with clipboards, a vehicle behaving badly in exactly the way the test protocol expected. Very scientific. Very orderly. Very unlike the road. Autonomous vehicles do not fail only inside tidy scenarios. They fail in combinations: glare plus wet pavement, partial occlusion plus a distracted pedestrian, sensor ambiguity plus a planner that is technically following its objective but not the spirit of survival. The industry’s safety problem is therefore not merely “we need more tests.” It is more awkward than that. We need better ways to search for the tests humans did not think to write. ...

March 7, 2026 · 16 min · Zelina
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Label Now, Drive Later: Why Autonomous Driving Needs Fewer Clicks, Not Smarter Annotators

Clicks are a cost centre. In a 3D annotation tool, deleting an unnecessary bounding box may take one or two seconds. Creating a missed vehicle annotation from scratch takes about 23 seconds. Correcting a poorly positioned box falls somewhere in between. These actions may all count as model errors. They do not cost the same amount of human time. ...

January 1, 2026 · 14 min · Zelina