Autonomous driving

DiffusionDrive is a truncated diffusion model for real-time end-to-end autonomous driving that speeds up computation by reducing diffusion denoising steps while maintaining high accuracy and diversity. The model learns directly from human demonstrations, enabling real-time autonomous driving decisions without complex pre- or post-processing steps. DiffusionDrive achieved a breakthrough score of 88.1 PDMS on the NAVSIM benchmark and was able to run at 45 FPS.