Fundamentals of Intelligent Driving Training Course

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 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