Learning collision risk proactively from naturalistic driving data at scale
从大规模自然驾驶数据中主动学习碰撞风险
机构 * Department of Transport & Planning(交通与规划系) ; Department of Engineering Systems and Services(工程系统与服务系) ; CityAI lab, Delft University of Technology(代尔夫特理工大学CityAI实验室)
专题命中 其他自动驾驶 :autonomous driving(abstract);分类 cs.RO
AI总结 本文提出GSSM方法,通过自然驾驶数据主动学习碰撞风险,无需碰撞或风险标签,实现高精度和及时性预警,提升自动驾驶安全。
Comments Officially published in Nature Machine Intelligence. Equation (15) in the previous versions was wrong, which has been corrected since v4