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.
