End-to-end autonomous driving systems promise a streamlined alternative to traditional modular pipelines—where perception, prediction, and planning are handled by separate…
End-to-End Autonomous Driving
OpenEMMA: Open-Source End-to-End Autonomous Driving with Multimodal Reasoning and Transparent Planning 873
Autonomous driving research has long been bottlenecked by the need for massive datasets, expensive compute infrastructure, and proprietary end-to-end frameworks.…
VAD: Vectorized End-to-End Autonomous Driving for Faster, Safer Planning 1159
Autonomous driving systems must balance accuracy, safety, and real-time performance. Traditional approaches often rely on dense rasterized representations of the…