LOCOMOTION
Metis：面向自动驾驶与城市导航的通用高效世界-动作模型
Jingyu Li, Zhe Liu, Dongnan Hu, Junjie Wu, Zipei Ma, Wenxiao Wu, Chao Han, Zhihui Hao, Zhikang Liu, Kun Zhan, Jiankang Deng, Xiatian Zhu, Li Zhang
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
Metis提出了一种解耦视频生成与动作预测的端到端世界-动作模型框架，采用混合专家Transformer架构和不对称注意力掩码，在保持训练-推理一致性的同时显著降低推理延迟。实验表明该方法在NAVSIM和CityWalker导航基准上取得了最先进性能。
关键词
autonomous drivingworld action modelvideo generationaction predictionurban navigation
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