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

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

Robust-Lane-Detection-using-Encoder-Decoder-CNN-LSTM

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

About

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

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

Languages

Language:Jupyter Notebook 86.4%Language:Python 13.6%