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.

中文翻译：

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加拿大不利驾驶条件数据集

加拿大不利驾驶条件 (CADC) 数据集是使用 Autonomoose 自动驾驶汽车平台收集的，该平台基于改进的林肯 MKZ。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利驾驶条件的自动驾驶汽车数据集。它包含通过来自 8 个摄像头 (Ximea MQ013CG-E2)、激光雷达 (VLP-32C) 和一个 GNSS + INS 系统 (Novatel OEM638) 的注释数据的各种冬季天气条件收集的 7,000 帧。传感器与数据集中包含的内在和外在校准进行时间同步和校准。Scale AI 提供了代表 3D 对象检测和跟踪的真实情况的激光雷达帧注释。