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sallyrobotics · Jul 4, 2019 · 9f90a1c · 9f90a1c
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-.DS_Store
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+**/__pycache__
diff --git a/README.md b/README.md
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-## Lane Line Detection
+# Lane Line Detection
 
-<br/>
-This project tries to detect Lane lines on Road Images using Python and OpenCV. The algorithm works reasonably well for images with low brightness as well. 
+This project tries to detect Lane lines on Road Images using Python and OpenCV. It works reasonably well for images with low brightness as well (after testing transformations to different color spaces). 
 
+## Dataset
+The processing has been carried out on the Caltech Pedestrian and Nexet datasets. 
 
-The processing has been carried out using the Caltech Pedestrian and Nexet datasets. 
+The Caltech Pedestrian Dataset can be downloaded [here.](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
 
+The Nexet Dataset can be downloaded [here.](https://www.getnexar.com/challenge-2/)
 
+## Usage
 The code can be run using the following command:
-`python3 main.py`
-
-
-\
-The Caltech Pedestrian Dataset can be downloaded [here](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
 
+`python3 main.py`
 
-\
-The Nexet Dataset can be downloaded [here](https://www.getnexar.com/challenge-2/)
+## Future Scope
+1. Bird eye transformation for curved lane detection. (Reference: [link](https://medium.com/@tina_chien_tw/advanced-lane-finding-faa3084492eb))
+2. Deep Learning based model.
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