Udacity_SelfDrivingCar

Introduction

This repository is for projects of Udacity's self driving car nanodegree class. :blue_car:

Projects

This course has 3 terms.

• Term 1: Computer Vision and Deep Learning
• Term 2: Sensor Fusion, Localization, and Control
• Term 3: Path Planning, Concentrations, and Systems

Term 1

Main topic of Term 1 is Computer Vision and Deep learning

The contents of the course are as follows. 📔

• Introduction to Neural Network

• Miniflow

• Introduction to Tensorflow

• Deep Neural Network

• Convolutional Neural Network

• Keras

• Transfer Learning

• Machine Learning and Stanley

• Support Vector Machines

• Decision Trees

  ​

The projects of the course are as follows. 📋

• Finding Lane lines
• Traffic Sign Classifier
• Behavioral Cloning
• Advanced Lane Finding
• Vehicle Detection and Tracking

I finished all the projects of Term 1!! Yeah~~~ 🎉🎉

Term 2

Main topic of Term 2 is Sensor fusion, Localization and Control

The contents of the course are as follows. 📔

• Introduction and Sensors

• Kalman Filters

• Lidar and Radar Fusion with Kalman Filters in C++

• Unscented Kalman Filter

• Localization Overview

• Markov Localization

• Motion Models

• Particle Filters

• Implementation of a Particle Filter

• PID Control

• Model Predictive Control

  ​

The projects of the course are as follows. 📋

• Extended Kalman Filter
• Unscented Kalman Filter
• Kidnapped Vehicle (Localization)
• PID Control
• Model Predictive Control

I finished all the projects of Term 2!! Yeah~~~ 🎉🎉

Term 3

Main topic of Term 3 is Path Planning, Concentrations and pLANNING

The contents of the course are as follows. 📔

• Search

• Prediction

• Behavior Planning

• Trajectory Generation

• Advanced Deep Learning

• Fully Convolutional Networks

• Scene Understanding

• Inference Performance

• Functional Safety

• Introduction to Functional Safety

• Safety Plan

• Hazard Analysis and Risk Assessment

• Functional Safety Concept

• Technical Safety Concept

• Functional Safety at the Softward and Hardware Levels

• Autonomous Vehicle Architecture

• Introduction to ROS

• Packages and Catkin Workspaces

• Writing ROS Nodes

• Completing the Program

  ​

The projects of the course are as follows. 📋

• Path Planning Project
• Semantic Segmentation Project
• Functional Safety
• System Integration Project