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