RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset
收藏4TU.ResearchData2024-10-16 更新2026-04-23 收录
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https://data.4tu.nl/datasets/4e277430-e562-4a7a-adfe-30b58d9a5f0a
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资源简介：
The RaDelft dataset is a novel, large-scale, real-life, and multi-sensor dataset that has been recorded using a demonstrator vehicle in different locations in the city of Delft. It contains data from a lidar, an imaging radar board, a camera, and the ego vehicle’s odometry. Check the reference paper for more details about the data collection and the sensors' setup.<br><strong>To request access, use the following link:</strong>https://docs.google.com/forms/d/1whyNTiAsZ4l0ENwFiut4yb3FzF3yPjKCdH42OMTlaEk/<br><br>
RaDelft数据集（RaDelft Dataset）是一款新颖、大规模且基于真实场景的多传感器数据集，由测试车辆在代尔夫特市的不同点位采集录制。该数据集包含激光雷达（LiDAR）、成像雷达板、相机以及自车（ego vehicle）的里程计数据。如需了解数据采集流程与传感器部署方案的更多细节，请查阅相关参考论文。<br><strong>如需申请该数据集的访问权限，请使用以下链接：</strong>https://docs.google.com/forms/d/1whyNTiAsZ4l0ENwFiut4yb3FzF3yPjKCdH42OMTlaEk/
提供机构：
Yarovoy, Alexander; Sun, Botao
创建时间：
2024-10-16
