Navigating Multimodality in Autonomous Driving Through Denoising Techniques

This chapter explores a denoising approach for managing multimodal scenarios in autonomous driving, highlighting the shortcomings of simple regression methods. The discussion includes the benefits of using diffusion models to learn distributions and how a pre-trained backbone can improve predictive capabilities in navigating complex environments.