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本站 2 月 22 日消息，在今日的全球开发者先锋大会上，商汤绝影发布「与世界模型协同交互的端到端自动驾驶技术路线 R-UniAD」。
据介绍，商汤绝影的 R-UniAD 是「多阶段强化学习」端到端自动驾驶技术路线，具体分为三个阶段：
首先是依靠冷启动数据通过模仿学习进行云端的端到端自动驾驶大模型训练；
然后基于强化学习，让云端的端到端大模型与世界模型协同交互，持续提升端到端模型的性能；
最后云端大模型通过高效蒸馏的方式，实现高性能端到端自动驾驶小模型的车端部署。
商汤绝影「开悟」世界模型与主车闭环交互的方式，是通过场景库文件导入一个 BEV 视角下的初始主车和他车位置，世界模型自动生成主车视角下 11V（11 个摄像头）的传感器仿真数据，端到端模型接收到这一数据后，生成自车下一时刻位置并进行反馈，世界模型根据刷新的主车位置和预测的他车位置渲染新的 11V 传感器仿真数据。
本站获悉，商汤绝影的量产端到端智驾方案预计将在年底交付，「开悟」世界模型也正式用于数据生产。在 4 月的上海车展，商汤绝影将会展示「与世界模型协同交互的端到端自动驾驶方案」的实车部署。
