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Udacity

Self-Driving Car Fundamentals: Featuring Apollo

Baidu and Apollo via Udacity

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Overview

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.

Syllabus

  • Welcome to SDC Fundamentals: Featuring Apollo
    • Identify the key parts of self-driving cars, and get to know the Apollo team and architecture.
  • HD Maps
    • High-definition maps underpin almost every other part of the software stack. Learn how these maps work!
  • Localization
    • Learn how the vehicle localizes itself with single-digit-centimeter-level accuracy.
  • Perception
    • Identify different perception tasks such as classification, detection, and segmentation. Also, learn about convolutional neural networks, which are critical to perception.
  • Prediction
    • Study different ways to predict how other vehicles or pedestrians might interact with 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
    • Congratulations on completing the course! Here, you'll receive some suggestions for future learning to pursue a self-driving car engineering career.

Taught by

Sebastian Thrun

Reviews

5 rating at Udacity based on 3 ratings

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