This repository consists of two projects:

1. Improving the quality of a low brightness video.
2. Lane detection and turn prediction This projects aims to do a simple lane detection to mimic lane departure warning systems used in self-driving cars.

• The various concepts that were tried are:
  • Histogram Equalization
  • CLAHE (Contrast Limited Adaptive Histogram Equalization)
  • Gamma Correction

• This involved the concepts of hough transform and hough lines.

Implementation approach and explanation of the concepts involved and the solution can be found in the report.

Dataset

• Go to directory: 'Code/improve_video_quality/'
• $ python impove_image_quality.py
• Please copy-paste the video 'Night Drive-2689.mp4' to the following location relative to this README file: './Code/media/improve_video_quality_data/'

Dataset

For dataset_1:

• Go to directory: 'Code/lane_detection/'
• Run the file: $ python lane_detection_images.py
• Please copy-paste the images to the following location relative to this README file: './Code/media/lane_detection_data/images/'

For dataset_2:

• Go to directory: 'Code/lane_detection/'
• Run the file: $ python lane_detection_video.py
• Please copy-paste the images to the following location relative to this README file: './Code/media/lane_detection_data/video/'

Improving video quality:

Lane detection:

Output videos can be found here.