NOTE of “Self-Driving Car Engineer” ----- 课程结构

优达学城-自动驾驶工程师学习笔记 -1

------课程结构

Part 1 ： Computer Vision, Deep Learning, and Sensor Fusion

（第一部分： 计算机视觉， 深度学习 和传感器融合）

共包含5个项目，25 节小课程

project1 ： Finding Lane Lines

Project2： Advanced Lane Finding

Project3： Traffic Sign Classifier

Project4： Behavioral Cloning

Project5： Extended Kalman Filters

In this term, you'll first become an expert in applying Computer Vision and Deep Learning on automotive problems. You will teach the car to detect lane lines, predict steering angle, and more all based on just camera data!

Next, you'll learn Sensor Fusion, or how to use an array of sensor data to perceive the environment around the vehicle.

Part 2 ：  Localization, Path Planning, Control, and System Integration

（第二部分： 定位，路径规划控制，系统集成）

共包含6个项目：

Project 1： Kidnapped Vehicle

Project 2： Highway Driving

Project 3： PID Controller

Project 4：Improve Your LinkedIn Profile

Project 5：Optimize Your GitHub Profile

Project 6：Programming a Real Self-Driving Car

In this term, you'll expand on your sensor knowledge to localize and control the vehicle. You'll evaluate sensor data from camera, radar, lidar, and GPS, and use these in closed-loop controllers that actuate the vehicle.

After that, you'll learn how to plan where the vehicle should go, and how the vehicle systems work together to get it there