One post tagged with "closed-loop-testing"

Simulators are great for autonomous driving testing because they're safe, reproducible, and fully controllable — but their rendered worlds usually look nothing like the real world. A perception or end-to-end driving model that performs well in simulation can behave very differently once it sees real camera data. This is the classic sim-to-real gap, and it's the problem a recent paper called Cam2Sim: Neural Scenario Reconstruction for Closed-Loop Autonomous Driving Simulation sets out to close.