Comments (2)
Hi @MalignusCN, thanks for your interest in our work and good question!
nuScenes does not provide annotations about the physical direction of lane dividers, so the proposed permutation-based modeling will not incur trouble for learning, and we can not count the ratio of lane dividers between opposing lanes to the ratio of lane dividers between lanes in the same direction.
If you want to apply MapTR on your custom dataset, which provides the physical direction for some polyline-based map elements, you can use MapTR with vanilla modeling (Fig. 3 vanilla) for directed polyline-based map elements and proposed permutation-based modeling for polygon- and polyline- based map elements without physical direction during training.
Since nuScenes does not provide the direction information for polyline-based map elements, we apply unified modeling to all map elements.
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Hi @MalignusCN, thanks for your interest in our work and good question!
nuScenes does not provide annotations about the physical direction of lane dividers, so the proposed permutation-based modeling will not incur trouble for learning, and we can not count the ratio of lane dividers between opposing lanes to the ratio of lane dividers between lanes in the same direction.
If you want to apply MapTR on your custom dataset, which provides the physical direction for some polyline-based map elements, you can use MapTR with vanilla modeling (Fig. 3 vanilla) for directed polyline-based map elements and proposed permutation-based modeling for polygon- and polyline- based map elements without physical direction during training.
Since nuScenes does not provide the direction information for polyline-based map elements, we apply unified modeling to all map elements.
Thanks for your reply~
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Related Issues (20)
- something about MapTRPerceptionTransformer HOT 3
- ValueError: matrix contains invalid numeric entries
- BEV free version HOT 1
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- export onnx
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