This repository is a summary of my independent projects on topics in selfdriving. Through following projects I have touched on topics in computer vision, deep learning, LIDAR/RADAR sensors, Motion Planning, PID Control, Kalman Filterings, and more.

• Trained CNN model in tensorflow to successfully classify traffic signs
  https://github.com/MoonKang/Traffic_Sign_Classifier

• Developed CNN deep learning archictecture in keras to train for steer angles of car in simulation https://github.com/MoonKang/selfdriving_simulation

• Applied computer vision methods, such as distortion correction, filtering, image rectification, color transform in OpenCV to identify lanes robustly https://github.com/MoonKang/Robust_LaneDetection

• Extracted key features using HOG gradient, color space in OpenCV
• Trained SVM model to detect and track vehicles in image and video https://github.com/MoonKang/Vehicle_Detection

• With use of Lidar and Radar sensor data estimate position of nearby objects by applyig Kalman Filtering

• Localize the position of car based on map and sensor data