论文标题
加拿大不良驾驶条件数据集
Canadian Adverse Driving Conditions Dataset
论文作者
论文摘要
加拿大不利驾驶条件（CADC）数据集是根据修改后的林肯MKZ的自动驾驶自动驾驶汽车平台收集的。该数据集是在加拿大滑铁卢地区冬季收集的，是第一个专门针对不良驾驶条件的自动驾驶汽车数据集。它包含7,000个通过来自8个相机（XIMEA MQ013CG-E2），LIDAR（VLP-32C）和GNSS+INS系统（Novatel OEM638）的各种冬季天气条件收集的7,000帧。传感器是时间同步的，并用数据集中包含的固有和外在校准进行校准。 LIDAR框架注释代表3D对象检测和跟踪的地面真相的注释已由Scale AI提供。
The Canadian Adverse Driving Conditions (CADC) dataset was collected with the Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset, collected during winter within the Region of Waterloo, Canada, is the first autonomous vehicle dataset that focuses on adverse driving conditions specifically. It contains 7,000 frames collected through a variety of winter weather conditions of annotated data from 8 cameras (Ximea MQ013CG-E2), Lidar (VLP-32C) and a GNSS+INS system (Novatel OEM638). The sensors are time synchronized and calibrated with the intrinsic and extrinsic calibrations included in the dataset. Lidar frame annotations that represent ground truth for 3D object detection and tracking have been provided by Scale AI.
