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Table of Contents
Table of Contents
Autonomous vehicles are redefining transportation, promising safer roads, reduced congestion, and new mobility paradigms. Understanding the core technologies behind self-driving cars is essential for engineers and technologists entering this fast-evolving field.
What You Will Learn
- 1 Understand the history, levels of automation, and key components of autonomous vehicles.
- 2 Explore sensor technologies including cameras, LiDAR, radar, and sensor fusion techniques.
- 3 Learn localization and mapping methods such as GPS, IMU, SLAM, and HD maps.
- 4 Apply path planning algorithms including global, local, and behavior planning.
- 5 Implement vehicle control systems for longitudinal and lateral dynamics.
- 6 Analyze V2X communication protocols and their role in cooperative driving.
- 7 Identify safety and cybersecurity threats and mitigation strategies for AVs.
- 8 Develop testing and validation frameworks for autonomous systems.
- 9 Examine regulatory, legal, and ethical issues surrounding autonomous vehicles.
- 10 Assess future trends such as shared mobility, electrification, and AI advances.
What's Included
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Autonomous Vehicle Technology