Fundamentals of Intelligent Driving Training Course

Introduction

• Definition and purpose of intelligent driving
• 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

• Intelligent driving session lifecycle
• Application of AI and multi-sensor information fusion in intelligent driving
• Creating and importing 3D files for intelligent driving workflows

Driving Skills and Techniques

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

Driving Scenarios and Situations

• Practicing various driving scenarios and situations
• Identifying and responding to potential hazards and risks
• Adhering to 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
• Generating and viewing images and videos of driving sessions
• Performing clash detection tests and verifying the integrity of driving sessions

Driving Integration and Application

• Integrating learned knowledge and skills with real-world driving challenges
• Collaborating and connecting with other drivers and instructors
• Estimating and creating material costs for driving sessions
• Creating and animating driving timelines while verifying schedule validity

Troubleshooting

Summary and Next Steps