SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation 事件

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation arXiv:2605.24354v1 Announce Type: new Abstract: Recently, world models have made significant progress in enhancing end-to-end driving systems through both future situation forecasting and improved scene understanding. However, existing driving world models are typically built upon dense scene representations, causing high computational costs and redundant information. In this paper, we present