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Udacity

Self-Driving Fundamentals: Featuring Apollo

Baidu and Apollo via Udacity

Overview

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.

Syllabus

  • 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.

Taught by

Sebastian Thrun

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