Fundamentals of Intelligent Driving Training Course

Introduction

• What is intelligent driving and why is it used?
• Intelligent driving versus 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 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.
• 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