AUT Summer Camp 2022
Autonomous Cars – Presented by Amirmohammad Zarif
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Resources
Python Notebooks
- Introduction to Image Processing
- https://drive.google.com/file/d/1XTeTxLX0G9xHQ4WW-OQD_rjC_yl4b2Xb/view?usp=sharing
- https://colab.research.google.com/github/xn2333/OpenCV/blob/master/Image_Processing_in_Python_Final.ipynb#scrollTo=s9q4iqiRgHXD
- Lane Detection: https://colab.research.google.com/drive/1ho8GBWH9OGEjt38rx_Mov_1j0HAN48sK?usp=sharing#scrollTo=jTWafCP9Swwm
Resources
Online
- MIT Deep Learning, deeplearning.mit.edu
- Introduction to Autonomous Vehicles, University of Toronto
- Stanford CARLO, https://github.com/Stanford-ILIAD/CARLO
- Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving, Proceedings of Robotics: Science and Systems (RSS),
Further reading and Supplementary material
Online
- https://colab.research.google.com/github/jckantor/ND-Pyomo-Cookbook/blob/master/docs/02.06-Model-Predictive-Control-of-a-Double-Integrator.ipynb#scrollTo=ZNsF925iKdjJ
- https://colab.research.google.com/drive/1ho8GBWH9OGEjt38rx_Mov_1j0HAN48sK?usp=sharing
- https://colab.research.google.com/github/lexfridman/mit-deep-learning/blob/master/tutorial_driving_scene_segmentation/tutorial_driving_scene_segmentation.ipynb#scrollTo=OQ4WfdFGKLSc
- SAE, Taxonomy of driving: https://www.sae.org/standards/content/j3016_201806/
- http://www.cvlibs.net/datasets/kitti/
Links
