Table of Contents

Getting Started

• Introduction to the Autonomous Formula Student Project
• Setting Up the Development Environment

Git & GitHub Basics

• Introduction to Version Control
• Working with GitHub

ROS2 Basics

• Introduction to ROS2
• Creating a Simple ROS2 Project
• ROS2 with Docker

Algorithmic Modules

Perception

• Introduction to Perception
• Camera Calibration
• Object Tracking
• Sensor Fusion

State-Estimation and Mapping

• Introduction to State-Estimation and Mapping
• Understanding Kalmann Filter
• Implementing SLAM

Control

• Introduction to Control Systems
• Vehicle Dynamics and Control

Software Engineering

Software Engineering Practices

• Code Organization and Structure
• Modular Programming in C++ and Python
• Error Handling and Logging
• Design Patterns in Software Development

DevOps and Continuous Integration and Deployment

• Introduction to CI/CD
• Setting Up GitHub Actions for CI
• Automated Testing in CI
• Deployment Strategies

Simulators

• Introduction to Simulation Environments
• Working with Gazebo
• Simulating Sensors and Canbus Actuators
• Simulating the Vehicle

ROS2 Drivers

• Writing ROS2 Drivers
• Driver Testing and Validation
• Interfacing with Real Hardware

Tools and Best Practices

• Using Conda for Dependency Management
• Docker for Development and Deployment
• Code Quality and Testing

Wrap Up

• Where to Go From Here

Additional Resources

• A resource list made by the 2020 team
• Additional resources per topic

Contributing to Autonomous Formula Student Project

please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.