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Duration 21 hours
Course Outline
Introduction
- Defining smart transportation and its benefits
- Smart transportation compared to traditional methods
- Overview of smart transportation features and architecture
- Navigating the smart transportation interface and workspace
Understanding AI and Multi-Sensor Information Fusion
- Smart transportation session lifecycle
- AI and multi-sensor fusion for smart transportation
- Creating and importing 3D files for smart transportation
Transportation Skills and Techniques
- Practicing essential transportation skills and techniques
- Adjusting transportation settings
- Measuring, tagging, commenting, and markup
Transportation Scenarios and Situations
- Practicing various transportation scenarios and situations
- Identifying and responding to potential hazards and risks
- Adhering to and applying road rules and regulations
- Navigating complex and dynamic transportation environments
Transportation Performance and Evaluation
- Analyzing and evaluating transportation performance, behavior, and feedback
- Creating and demonstrating animations of transportation sessions
- Generating images and videos of transportation sessions
- Performing clash detection tests and verifying session integrity
Transportation Integration and Application
- Integrating learned knowledge and skills with real-world transportation challenges
- Connecting and collaborating with other professionals and instructors
- Estimating and creating material requirements for sessions
- Creating and animating transportation timelines while validating schedules
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with artificial intelligence (AI) concepts and principles
- Experience with 3D design tools such as AutoCAD, Revit, or 3ds Max
- Basic programming experience (optional)
Audience
- Developers
- Architects
