Self-Driving-Cars-Engine, Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.
- Signal processing (1D smoothing, 2D smoothing, convolution 2 signals, pass-filters)
- Simple straight lane detection
- Steering suggestion
- Multi-lane detection
- Multi-lane angle
- Curve-lane detection
- Car detection using sliding + HOG + eXtreme Boosting
- Object detection using Tensorflow
- Distance + Angle for object detection
- Distance + Speed for object detection
- Traffic light detection
- Gradient Smoothing
- Lane Smoothing
- Dynamic count lane detection
- Road Segmentation
- Plate detection
- Image Augmentation
- Lane Augmentation offroad
- Sensor fusion
- Kitti-PCL
13. Lane Smoothing
VGG16 Road Segmentation
Mobilenet City Segmentation
16. Plate detection
Originally from https://github.com/UjjwalSaxena/Automold--Road-Augmentation-Library
19. Sensor fusion
20. Pykitti PCL
