Self-Driving Fundamentals: Featuring Apollo
About this Course
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.
Identify key parts of self-driving cars, 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.
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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.
