Self-Driving Fundamentals: Featuring Apollo

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.

• Self-Driving Overview
• Identify key parts of self-driving cars, and get to know Apollo team and architecture.
• HD Map
• Get to know how high-definition maps work, which underpin almost every other part of the software stack.
• Localization
• Practice Mock Interviews with Pramp!
• Perception
• Identify different perception tasks such as classification, detection, and segmentation and learning convolutional neural networks which are critical to perception.
• Prediction
• Study different ways to predict how other vehicles or pedestrians might move in Apollo self-driving cars.
• Planning
• Identify several different approaches Apollo uses to develop trajectories for autonomous vehicles.
• Control
• Understand how to use steering, throttle, and brake to execute our planned trajectory and master different types of controllers in Apollo.
• Congratulations
• Once completed, you’ll be provided with suggestions for future learning to pursue a self-driving car engineering career.