A new automotive radar data set with measurements and point-wise annotations from more than four hours of driving is presented. Data provided by four series radar sensors mounted on one test vehicle were recorded and the individual detections of dynamic objects were manually grouped to clusters and labeled afterwards. The purpose of this data set is to enable the development of novel (machine learning-based) radar perception algorithms with the focus on moving road users. Images of the recorded sequences were captured using a documentary camera. For the evaluation of future object detection and classification algorithms, proposals for score calculation are made so that researchers can evaluate their algorithms on a common basis. Additional information as well as download instructions can be found on the website of the data set: www.radar-scenes.com.
翻译:提供了一套新的汽车雷达数据集,其中含有4小时以上驾驶时间的测量和点向说明;记录了安装在一辆测试车辆上的四套系列雷达传感器提供的数据,将动态物体的个别探测结果手工分组到集群中,然后贴上标签;该数据集的目的是为了能够开发新的(基于学习的)雷达感知算法,重点是移动道路使用者;用一台文件相机拍摄了所记录序列的图像;为评价未来物体探测和分类算法,提出了得分计算建议,以便研究人员能够在共同的基础上评价其算法;可在数据集网站(www.radar-scenes.com)上找到更多资料和下载指示。