自动驾驶车辆在无信号交叉口与行人互动的评估
Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings
AI总结：
本文提出了一种评估自动驾驶车辆在无信号交叉口与行人互动安全性和可行性的新方法，通过分析数据和模拟行人反应，验证了自动驾驶策略的有效性。
摘要：
车辆与行人之间的互动一直是交通安全的主要问题。经验丰富的驾驶员能够分析环境并选择有助于避免碰撞的驾驶策略。然而，尚不清楚自动驾驶车辆如何与行人互动。本文提出了一种新的方法，用于评估自动驾驶车辆在无信号交叉口的驾驶策略的安全性和可行性。在密歇根州安阿伯市的公交车上安装了MobilEye传感器，收集了2973个有效的交叉事件数据。然后使用多元高斯混合模型创建了一个随机交互模型。该模型允许我们模拟行人对迎面而来的车辆做出反应时的移动，并评估自动驾驶车辆的通过策略。然后进行了模拟以演示评估过程。
英文摘要：
Interactions between vehicles and pedestrians have always been a major problem in traffic safety. Experienced human drivers are able to analyze the environment and choose driving strategies that will help them avoid crashes. What is not yet clear, however, is how automated vehicles will interact with pedestrians. This paper proposes a new method for evaluating the safety and feasibility of the driving strategy of automated vehicles when encountering unsignalized crossings. MobilEye sensors installed on buses in Ann Arbor, Michigan, collected data on 2,973 valid crossing events. A stochastic interaction model was then created using a multivariate Gaussian mixture model. This model allowed us to simulate the movements of pedestrians reacting to an oncoming vehicle when approaching unsignalized crossings, and to evaluate the passing strategies of automated vehicles. A simulation was then conducted to demonstrate the evaluation procedure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
