This repositories contains the code developed for the CarND.

1. Miniconda
2. Conda environment

Clone/fork this repository and navigate to the desired project folder. Activate the environment

$ source activate udacity

and follow the instruction in each README.

• First term: computer vision and deep learning
  1. Lane lines finding (computer vision)
  2. Traffic signs classifier (deep learning)
  3. Behavioral cloning (deep learning)
  4. Advanced lane lines finding (computer vision)
  5. Vehicle detection and tracking (computer vision and machine learning)
• Second term: sensor fusion, localisation, and control
  1. Extended Kalman filter (sensor fusion)
  2. Unscented Kalman filter (sensor fusion)
  3. Kidnapped vehicle (localisation)
  4. PID controller (control)
  5. Model Predictive Control (control)
• Third term: path planning, concentration, and systems
  1. Path planning (localisation and control)
  2. Semantic segmentation (deep learning)
  3. System integration (all together)