Reconstructed Roundabout Driving Dataset

This dataset is based on the ACFR Five Roundabouts Dataset. The original tracking data of over 23,000 traffic vehicles have been processed with an optimization-based filtering method to combat measurement noise and errors. Smooth velocity and acceleration signals are reconstructed. The processed recordings have then undergone a selection process using DBSCAN to remove the erroneous samples. The remaining samples contained in this dataset are considered representative of how average human drivers approach a roundabout scenario in daily driving.

本数据集基于ACFR五环岛数据集。通过对超过23,000辆交通车辆的原始追踪数据进行基于优化的滤波处理，以抵抗测量噪声和误差。重建了平滑的速度和加速度信号。随后，使用DBSCAN算法对处理后的记录进行筛选，以剔除错误样本。本数据集中剩余的样本被视为反映普通驾驶员在日常驾驶中如何应对环岛场景的典型样本。