Self-Driving Fundamentals: Featuring Apollo (Udacity)

Self-Driving Fundamentals: Featuring Apollo (Udacity)
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Self-Driving Fundamentals: Featuring Apollo (Udacity)
Through this course, you will be able to identify key parts of self-driving cars and get to know Apollo architecture. You will be able to utilize Apollo HD Map, localization, perception, prediction, planning and control, and start the learning path of building a self-driving car.

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Apollo provides an open software platform for anyone to build their own autonomous driving systems. Throughout this course, you will master the basics of self-driving cars without any programming background, and get to access and use Apollo platform easily.




What You Will Learn


LESSON 1

Self-Driving Overview

- Identify key parts of self-driving cars and get to know Apollo team and architecture.


LESSON 2

HD Map

- Get to know how high-definition maps work which underpin almost every other part of the software stack.


LESSON 3

Localization

- Practice Mock Interviews with Pramp!


LESSON 4

Perception

- Identify different perception tasks such as classification detection and segmentation and learning convolutional neural networks which are critical to perception.


LESSON 5

Prediction

- Study different ways to predict how other vehicles or pedestrians might move in Apollo self-driving cars.


LESSON 6

Planning

- Identify several different approaches Apollo uses to develop trajectories for autonomous vehicles.


LESSON 7

Control

- Understand how to use steering throttle and brake to execute our planned trajectory and master different types of controllers in Apollo.


LESSON 8

Congratulations

- Once completed you’ll be provided with suggestions for future learning to pursue a self-driving car engineering career.


Prerequisites and Requirements

No prerequisite. Anyone who is interested in the basics of self-driving cars without any programming or mathematical background is free to be enrolled.



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