Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data

Julian Ripper, Ousama Esbel, Rafael Fietzek +2

Training deep learning methods on small time series datasets that also include corrupted samples is challenging. Diffusion models have shown to be effective to generate realistic a…