Coding Cool Projects from Udacity Self-Driving Car Engineer Nanodegree
Summary: Detected highway lane lines on a video stream. Used Hough Transforms and Canny edge detection to detect lane lines.
Keywords: Computer Vision
Summary: Learnt about the process of Advanced Lane Finding through the course and through the aid of other individuals. Learnt how to build an advanced lane-finding algorithm using distortion correction, color transforms, and gradient thresholding.
Keywords: Computer Vision, OpenCV
Summary: Built and trained a deep NN to classify traffic signs, using TensorFlow. Image pre-processing and validation to guard against overfitting.
Keywords: Deep Learning, TensorFlow, Computer Vision
Summary: Learnt how to use Keras to build a DNN to take user given training data and transform it into a self-driving car. Ran the model and simulation environement to obtain these results.
Keywords: Deep Learning, Keras, Convolutional Neural Networks
