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Waymo-TU Delft Study Establishes Human Collision-Avoidance Benchmark in Nature CommunicationsWaymo与代尔夫特理工大学联合发布人类碰撞规避参考模型
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- Waymo and TU Delft published research in Nature Communications introducing ReD (Reference Driver), an active inference model that simulates how a careful, competent human driver avoids collisions.
- ReD models the complete cognitive process including how drivers update beliefs about road situations, manage uncertainty about other vehicles' intentions, and select evasive maneuvers such as braking or swerving.
- The model extends Waymo's established NIEON framework and represents the latest of a dozen published papers on behavioral reference models, serving as a human-performance benchmark for autonomous vehicle safety assessment.
- Waymo与荷兰代尔夫特理工大学在《自然通讯》杂志发表研究，推出ReD（参考驾驶员）模型，采用主动推理框架模拟谨慎且胜任的人类驾驶员碰撞避险行为。
- ReD可以模拟驾驶员如何更新对路况的信念、管理对其他车辆意图的不确定性，以及选择制动、转向或两者结合的规避动作。
- 该模型扩展了Waymo既有的NIEON框架，代表该公司十二篇行为参考模型研究论文中的最新进展，可作为评估自动驾驶安全性能的人类基准。