The Berkeley NetSys Lab
turbo Public
Autonomous driving advances rely on ML models whose compute needs exceed edge devices. While the cloud offers scale, networks are treated as bottlenecks, not part of control. We present TURBO, a cloud-augmented framework that jointly optimizes control and bandwidth across car and cloud, guaranteeing safety and improving accuracy by up to 15.6 %pt.