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, and get to know Apollo team and architecture.
Get to know how high-definition maps work, which underpin almost every other part of the software stack.
Learn how the vehicle localizes itself with single-digit-centimeter-level accuracy.
Identify different perception tasks such as classification, detection, and segmentation and learning convolutional neural networks which are critical to perception.
Study different ways to predict how other vehicles or pedestrians might move in Apollo self-driving cars.
Identify several different approaches Apollo uses to develop trajectories for autonomous vehicles.
Understand how to use steering, throttle, and brake to execute our planned trajectory and master different types of controllers in Apollo.
Once completed, you’ll be provided with suggestions for future learning to pursue a self-driving car engineering career.
The course instructors comprise the founder and Self-Driving-Car Lead of Udacity and experts of the Baidu Apollo project.
The team of top industry experts will guide you through your learning journey!