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GitHub / arindam-modak / Robust-Lane-Detection-in-hazy-environment-using-Encoder-Decoder-CNN-LSTM-DCP

Robust Lane Detection in hazy/foggy environment using Encoder Decoder CNN & LSTM and Dark Channel Prior to tackle with hazy environemnt

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PURL: pkg:github/arindam-modak/Robust-Lane-Detection-in-hazy-environment-using-Encoder-Decoder-CNN-LSTM-DCP

Stars: 4
Forks: 0
Open issues: 1

License: None
Language: Jupyter Notebook
Size: 16.7 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: almost 3 years ago
Pushed at: over 5 years ago
Last synced at: 3 months ago

Topics: convlstm, dark-channel-prior, dcnn, encoder-decoder, google-colab, image-segmentation, image-transformations, neural-networks, segnet, tusimple-dataset

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