Self Driving Car

In this repository you may find the source code of all the projects of Udacity Self-Driving Car Engineer Nanodegree.

Overview

Projects

P1: Finding Lane Lines (code)	P2: Advanced Lane Finding (code)	P3: Traffic Sign Classifier Project (code)	P4: Adv. Lane Finding (code)

Table of Contents

P1 - Detecting Lane Lines (basic)

• Summary: Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
• Keywords: Computer Vision

P2 - Advanced Lane Finding

• Summary: Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
• Keywords: Computer Vision, OpenCV

P3 - Traffic Sign Classifier

• Summary: Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
• Keywords: Deep Learning, TensorFlow, Computer Vision

P4 - Behavioral Cloning

• Summary: Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
• Keywords: Deep Learning, Keras, Convolutional Neural Networks