---

Self-Driving-Cars-Engine, Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.

What-Done

1. Signal processing (1D smoothing, 2D smoothing, convolution 2 signals, pass-filters)
2. Simple straight lane detection
3. Steering suggestion
4. Multi-lane detection
5. Multi-lane angle
6. Curve-lane detection
7. Car detection using sliding + HOG + eXtreme Boosting
8. Object detection using Tensorflow
9. Distance + Angle for object detection
10. Distance + Speed for object detection
11. Traffic light detection
12. Gradient Smoothing
13. Lane Smoothing
14. Dynamic count lane detection
15. Road Segmentation
16. Plate detection
17. Image Augmentation
18. Lane Augmentation offroad
19. Sensor fusion
20. Kitti-PCL

Results

1. Signal processing

2. simple straight lane detection

3. Steering suggestion

4. Multi-lane detection

5. Multi-lane angle

6. Curve-lane detection

7. Car detection using sliding + HOG + eXtreme Boosting

8. Object detection using Tensorflow

9. Distance + Angle for object detection

10. Distance + Speed for object detection

11. Traffic light detection

12. Gradient Smoothing

13. Lane Smoothing

14. Dynamic count lane detection

15. Road Segmentation

VGG16 Road Segmentation

Mobilenet City Segmentation

16. Plate detection

17. Image augmentation

Originally from https://github.com/UjjwalSaxena/Automold--Road-Augmentation-Library

18. Lane Augmentation offroad

19. Sensor fusion

20. Pykitti PCL