Comments (1)
我注意到一个问题,在您的官方网站中所提供的数据集里,激光雷达的标注是缺失的,我猜想您是按照相机视角的遮挡来进行标注从而导致标注缺失,您可以查看下_000917.json_并将其bondingbox投影到激光雷达坐标系,就会发现在近处的一些明显的车辆没有标注,这对于纯激光雷达检测是不允许的,我也很感谢您的开源工作,但这真的很困扰,最后再提一句投影不准确问题。
Thanks for you feedback.
For the annotation issue, we use 2-3D joint labelling approach to annotate the 3D bounding box for our dataset, so we only provide annotations for those objects appearing both in images and point clouds. This is similar to the annotation in KITTI dataset.
For the projection issue, the dataset does have the problem of projection mismatch caused by calibration error. We hope we can solve these problem in our newer dataset.
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Related Issues (20)
- 请问dev-v2x-seq现在可以用了吗? HOT 1
- is this dataset allowed for commercial use? HOT 1
- Request access for DAIR-V2X HOT 1
- DAIR-V2X dataset HOT 1
- dataset_converter: cooperative-vehicle-infrastructure to kitti
- Reproduce the results on SV3D DAIR-V2X-I HOT 1
- dataset download problem HOT 3
- multimodal fusion problem HOT 3
- Question about the timestamp of Lidar pointcloud
- Dataset request -- V2X-Seq -- Outside Mainland China HOT 2
- Training HOT 3
- training HOT 2
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- DAIR-V2X-V 标签偏差大
- Different results on MMdetection3D and OpenPCDet for DAIR-V2X-I training
- Questions about the SPD installation process HOT 2
- ImportError: cannot import name 'DAIRV2XDataset' from partially initialized module 'base_dataset' (most likely due to a circular import) HOT 1
- 车路协同3D检测数据集 infrastructure-side 中image 的6143--6687缺失 HOT 5
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