Fundamentals of Intelligent Driving Training Course

Introduction

• Defining intelligent driving and its benefits.
• Comparison between intelligent driving and traditional methods.
• Overview of intelligent driving features and architecture.
• Navigating the intelligent driving interface and workspace.

Understanding AI and Multi-Sensor Information Fusion

• The intelligent driving session lifecycle.
• Role of AI and multi-sensor information fusion in intelligent driving.
• Creating and importing 3D files for intelligent driving.

Driving Skills and Techniques

• Practicing essential driving skills and techniques.
• Adjusting driving settings.
• Measuring, tagging, commenting, and applying markup.

Driving Scenarios and Situations

• Practicing various driving scenarios and situations.
• Identifying and responding to potential hazards and risks.
• Adhering to road rules and regulations.
• Navigating 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 images and videos of driving sessions.
• Performing clash detection tests and verifying session integrity.

Driving Integration and Application

• Integrating learned knowledge and skills into real-world driving challenges.
• Collaborating with other drivers and instructors.
• Estimating and creating material requirements for driving sessions.
• Creating and animating driving timelines while validating schedule feasibility.

Troubleshooting

Summary and Next Steps