The Duckietown Instructor Manual

Welcome to the Duckietown instructor manual!

In this book we share the resources and experiences that may be useful for constructing and delivering classes using the Duckietown platform.

Introduction

• Who Should Read This Book?
• How to Get Started
• How to Use This Book
• Quickstart Guide
• The Professor’s journey

Available Resources

• Overview
• Lecture Slides and Recordings
  • Introductions to Duckietown
  • Tools
  • Modeling
  • Control Systems
  • Computer Vision
  • Visual Perception
  • State Estimation
  • Planning
  • End-to-End Learning Approaches
  • Advanced Topics
• Activities and Exercises: Learning Experiences (LXs)
• Evaluation
• Duckietown Simulator
• The Code Structure
• Duckietown Hardware
• Projects
• Support

Design Considerations

• Prerequisites
  • Instructor background
  • Student background
  • Space, infrastructure and equipment
• Class Composition
• Intended Learning Outcomes
• Course Structure
• Common Pitfalls
• Getting Student Feedback
• Duckietown Spirit

Sample Curricula

• Graduate level
  • Autonomous Vehicles (IFT 6757) at the University of Montreal / Mila
  • ETH Zurich
• Undergraduate level
  • EECE 5560 at the University of Massachusetts Lowell
• High School level
• Self-Driving Cars with Duckietown (MOOC)