How Self-driving Cars Actually Work

~60 min · 15 stations

How Self-driving Cars Actually Work is a self-paced learning path in Computer Science & AI, free to read, written at General Public / 9th Grade reading level. Across 15 structured stations, you will work through the core ideas step by step, each with a short quiz to check your understanding. By the end you will be able to define the primary levels of vehicle autonomy; explain how vehicles combine data from multiple sources; describe how machines identify objects using digital images.

Conductor

The Conductor

All aboard for a journey through the digital brain of the modern vehicle. We shall navigate the sensors and logic gates that keep these machines moving safely through our bustling city streets.

What you will learn

Complete each station to unlock the next.

FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

• Define the primary levels of vehicle autonomy

Station 01: Introduction to Autonomous Systems▶

• Explain how vehicles combine data from multiple sources

Station 02: The Role of Sensor Fusion▶

• Describe how machines identify objects using digital images

Station 03: Computer Vision Basics▶

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

• Analyze how lidar creates 3D point cloud environments

Station 04: Lidar Mapping Principles▶

• Compare radio wave detection with sound wave distance sensing

Station 05: Radar and Ultrasonic Systems▶

• Define the role of deep learning in vehicle decision-making

Station 06: Neural Networks for Driving▶

• Outline the process of calculating safe vehicle trajectories

Station 07: Path Planning Algorithms▶

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

• Examine how vehicles determine their exact global position

Station 08: Localization and Mapping▶

• Identify the link between software decisions and physical steering

Station 09: Control Systems Engineering▶

• Analyze how vehicle components share data in real-time

Station 10: Communication Protocols▶

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

• Evaluate the challenges of unpredictable real-world scenarios

Station 11: Edge Cases and Safety▶

• Explain how vehicles talk to surrounding infrastructure and cars

Station 12: V2X Communication▶

• Assess the risks of hacking in connected transport systems

Station 13: Cybersecurity for Vehicles▶

SYNTHESIS

Connects everything together and explores broader implications and open questions.

• Discuss the moral programming behind autonomous vehicle choices

Station 14: Ethical Decision Frameworks▶

• Synthesize the evolution of autonomous transport technologies

Station 15: The Future of Mobility▶

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General Public / 9th GradeAI Generated · gemini-3.1-flash-lite