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Plan Szkolenia
Introduction
- What is intelligent driving and why use it?
- Intelligent driving vs traditional driving
- Overview of intelligent driving features and architecture
- Navigating the intelligent driving interface and workspace
Understanding AI and Multi-Sensor Information Fusion
- Intelligent driving session lifecycle
- AI and multi-sensor information fusion for intelligent driving
- Creating and importing 3D files for intelligent driving
Driving Skills and Techniques
- Practicing driving skills and techniques
- Adjusting the driving settings
- Measuring, tagging, commenting, and markup
Driving Scenarios and Situations
- Practicing driving scenarios and situations
- Identifying and responding to potential hazards and risks
- Following and applying the road rules and regulations
- Dealing with complex and dynamic driving environments
Driving Performance and Evaluation
- Analyzing and evaluating driving performance, behavior, and feedback
- Creating and demonstrating animations of driving sessions
- Creating and viewing images and videos of driving sessions
- Performing clash detection tests and checking the integrity of driving sessions
Driving Integration and Application
- Integrating the knowledge and skills learned with real-world driving situations and challenges
- Connecting and collaborating with other drivers and instructors
- Obtaining and creating material estimates for driving sessions
- Creating and animating driving timelines and checking the validity of driving schedules
Troubleshooting
Summary and Next Steps
Wymagania
- An understanding of artificial intelligence (AI) concepts and principles
- Experience with 3D design software such as AutoCAD, Revit, or 3ds Max
- Basic programming experience (optional)
Audience
- Developers
- Architects
21 godzin
