论文标题
OPENDD：一个大规模的回旋处无人机数据集
openDD: A Large-Scale Roundabout Drone Dataset
论文作者
论文摘要
分析和预测周围自动车辆周围的交通现场一直是自动驾驶的主要挑战之一。数据集在包括场景中存在的所有道路用户的轨迹以及基本道路拓扑的轨迹非常宝贵，可以分析不同交通参与者的行为。各个交通参与者之间的相互作用在不受交通信号灯调节的交叉点类型中特别高，最常见的是回旋处。 我们介绍了OPENDD数据集，包括84,774个准确跟踪的轨迹和七个不同回旋处的高清图数据。使用无人机在501个单独的飞行中拍摄的图像对OPENDD数据集进行注释，总计在超过62个小时的轨迹数据中。到目前为止，Opendd是迄今为止从无人机角度录制的最大公开轨迹数据集，而可比的数据集则最多只有17小时。 该数据可用于商业和非商业用途，网址为：http：//www.l3pilot.eu/opendd。
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.
