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Duration 21 hours
Course Outline
Introduction
- Defining intelligent driving and its value proposition
- Comparing intelligent driving with traditional methods
- Overview of key intelligent driving features and system architecture
- Navigating the intelligent driving interface and workspace
Understanding AI and Multi-Sensor Information Fusion
- The lifecycle of an intelligent driving session
- Utilizing AI and multi-sensor information fusion for intelligent driving
- Creating and importing 3D files for intelligent driving workflows
Driving Skills and Techniques
- Practicing essential driving skills and techniques
- Optimizing driving settings
- Measuring, tagging, commenting, and markup processes
Driving Scenarios and Situations
- Practicing various driving scenarios and situations
- Identifying and mitigating potential hazards and risks
- Complying with and applying road rules and regulations
- Managing complex and dynamic driving environments
Driving Performance and Evaluation
- Analyzing driving performance, behavior, and feedback
- Creating and demonstrating animations of driving sessions
- Generating and reviewing images and videos of driving sessions
- Conducting clash detection tests and verifying session integrity
Driving Integration and Application
- Integrating learned knowledge and skills with real-world driving challenges
- Collaborating and connecting with other drivers and instructors
- Estimating and generating material requirements for driving sessions
- Creating driving timelines and validating schedule validity
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with artificial intelligence (AI) concepts and principles
- Proficiency in 3D design software such as AutoCAD, Revit, or 3ds Max
- Basic programming experience (optional)
Target Audience
- Developers
- Architects
