Fundamentals of Intelligent Driving Training Course

Introduction

• Defining intelligent driving and its benefits.
• Intelligent driving compared to traditional driving.
• 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.
• Applying 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 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 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.
• Creating and viewing images and videos of driving sessions.
• Conducting clash detection tests and verifying the integrity of driving sessions.

Driving Integration and Application

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

Troubleshooting

Summary and Next Steps