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Beginnt 5 June 2026 11:56
Endet 5 June 2026
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37 minutes
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Übersicht
Artificial Intelligence Courses Computer Science Courses
Lehrplan
- Introduction to Self-Driving Cars
- How Tesla's Full Self-Driving Works
- Test Drive Preparation
- Hands-On Test Drive
- Analyzing Real-World Performance
- Debunking Common Misconceptions
- Ethical, Legal, and Social Implications
- Conclusion and Future Outlook
Overview of Autonomous Vehicle Technology
Levels of Driving Automation Explained
Introduction to Tesla's Full Self-Driving (FSD) Technology
Core Technologies: Sensors, Cameras, and Software
Neural Networks and Machine Learning in FSD
Data Collection and Processing Systems
Safety Measures and Legal Considerations
Setting Up the Tesla FSD System
Route Planning: Dallas Test Drive
Initiating the Self-Driving Mode
Monitoring and Interacting with FSD
Handling Unexpected Situations and Manual Takeover
Performance Metrics and Data Collection
Identifying Strengths and Weaknesses
Environmental and Traffic Challenges
Understanding Media Portrayals vs. Reality
Common Public Fears and Concerns
Addressing AI's Limitations and Capabilities
Liability and Ethical Considerations in Autonomous Driving
The Future of Transportation and Autonomous Vehicles
Impact on Society and Employment
Summary of Key Learnings
The Road Ahead for Self-Driving Technology
Q&A and Open Discussion
Fachgebiete
Computer Science