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Duration 21 hours
Course Outline
Introduction
- Defining intelligent driving and its benefits.
- A comparative analysis of intelligent versus traditional driving.
- An overview of 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.
- Leveraging AI and multi-sensor information fusion in intelligent driving.
- Creating and importing 3D files for intelligent driving applications.
Driving Skills and Techniques
- Refining driving skills and techniques through practice.
- Optimizing and adjusting driving settings.
- Techniques for measuring, tagging, commenting, and markup.
Driving Scenarios and Situations
- Practicing diverse driving scenarios and situational awareness.
- Identifying and responding to potential hazards and risks.
- Adhering to and applying road rules and regulations.
- Managing complex and dynamic driving environments.
Driving Performance and Evaluation
- Analyzing and evaluating 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 the integrity of driving sessions.
Driving Integration and Application
- Integrating acquired knowledge and skills into real-world driving challenges.
- Collaborating with other drivers and instructors.
- Generating and obtaining material estimates for driving sessions.
- Creating and animating driving timelines while validating schedule integrity.
Troubleshooting
Summary and Next Steps
Requirements
- A solid grasp of artificial intelligence (AI) concepts and principles.
- Proficiency with 3D design software such as AutoCAD, Revit, or 3ds Max.
- Basic programming experience (optional).
Target Audience
- Developers
- Architects
