MEKAWIRE
专业arXiv

DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving

Shuzheng Wang, Haoxuan Li, Shengzhen Li, Chenxi Wu, Yajing Sun, Lu Hou, Wenyu Liu, Xinggang Wang
论文原文 阅读论文全文（PDF）
暂无中文版，显示英文原文。
摘自论文摘要

Vision-Language Models (VLMs) and world models have demonstrated strong capabilities in semantic understanding and future scene evolution for autonomous driving. However, effectively integrating both capabilities for trajectory generation remains challenging.

摘自论文摘要，摘要生成中。

受许可协议限制，本站不转载该论文全文，仅提供摘要和原文链接。