DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving 事件

DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving arXiv:2605.28544v1 Announce Type: new Abstract: Pretrained foundation models have become an important basis for end-to-end autonomous driving. In contrast to vision-language models pretrained primarily on static image-text pairs, video generative models capture temporal dynamics and motion priors that are naturally suited for driving. We present DriveWAM, a driving world-action model that adapts a pre