openDD：一个大型无人机数据集
openDD: A Large-Scale Roundabout Drone Dataset
摘要：
分析和预测自主车辆周围的交通场景一直是自动驾驶的关键挑战之一。包括场景中所有道路使用者的轨迹以及底层道路拓扑的数据集对于分析不同交通参与者的行为非常宝贵。各种交通参与者之间的相互作用在不受交通信号灯管制的交叉口类型中特别高，最常见的是环形交叉口。我们介绍了openDD数据集，包括84，774个精确跟踪的轨迹和七个不同圆形的高清地图数据。openDD数据集使用无人机在501次单独飞行中拍摄的图像进行注释，总计超过62小时的轨迹数据。到目前为止，openDD是迄今为止从无人机角度记录的最大的公开可用轨迹数据集，而可比数据集最多持续17小时。这些数据可供商业和非商业使用，网址为：http://www.l3pilot.eu/openDD。
英文摘要：
Analyzing and predicting the traffic scene around the ego vehicle has been one of the key challenges in autonomous driving. Datasets including the trajectories of all road users present in a scene, as well as the underlying road topology are invaluable to analyze the behavior of the different traffic participants. The interaction between the various traffic participants is especially high in intersection types that are not regulated by traffic lights, the most common one being the roundabout. We introduce the openDD dataset, including 84,774 accurately tracked trajectories and HD map data of seven different roundabouts. The openDD dataset is annotated using images taken by a drone in 501 separate flights, totalling in over 62 hours of trajectory data. As of today, openDD is by far the largest publicly available trajectory dataset recorded from a drone perspective, while comparable datasets span 17 hours at most. The data is available, for both commercial and noncommercial use, at: http://www.l3pilot.eu/openDD.
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。
