Comments (9)
Currently, this repo supports lane detection by deep learning, including both straight or curve lanes.
What's the curvature detection?
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I wanted to know about the computation of curvature of the lane in real-time.
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curvature? Is this https://en.wikipedia.org/wiki/Curvature?
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Yes. The plane curve. Kappa = 1/R
Kappa is curvature and R is the radius
I want to know if we can do curve fitting and get the curvature in using the robust lane detection of the model.
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Maybe you can try the curve-based method, like PolyLaneNet or LSTR. These methods predict the curve of lanes as a polynomial regression task.
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I am trying to implement ultra fast lane detection model. And use curve base method to detect curvature. I will try lstr ans poly lanenet, if it doesn't work. Thanks for the suggestion.
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If you are using UFLD, the curvature of lanes is calculated from post-processing?
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Not really, I plan on using the traditional method of the perspective transform to BEV and calculating curvature using the detected lanes from the network.
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If so, I think you can also try other models like LaneATT (anchor-based method), RESA (segmentation-based method).
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Related Issues (20)
- Is CLRNet detector available?
- CondLane如何修改检测的车道线数量?
- Is ONNX conversion available?
- 도로 선
- setup.py CUDA
- Problems when training with multiple GPUs
- How to load a new dataset like OpenLane?
- Is it possible to conduct video test?
- How to get the coordinates of the lanes detected.
- RandomHorizontalFlip - masks classes should also be flipped
- 如何建立一个自己的tusimple数据集训练?
- Error on generated Docker container
- Error in the execution of setup build install
- error when building the docker environment
- issues after installed the docker container
- Getting an issue in installing the lanedet
- import pytorch_warmup as warmup HOT 2
- when to support CLRNet? HOT 1
- Inference結果有方法能直接加入datasets訓練嗎?
- 如何建立自己的車道線分割圖laneseg_label_w16
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