Fundamentals of Intelligent Driving Training Course

Introduction

• What is intelligent driving and why is it important?
• Intelligent driving compared to traditional methods
• Overview of intelligent driving features and architecture
• Navigating the intelligent driving interface and workspace

Understanding AI and Multi-Sensor Information Fusion

• The lifecycle of an intelligent driving session
• Leveraging AI and multi-sensor information fusion for intelligent driving
• Creating and importing 3D files for intelligent driving applications

Driving Skills and Techniques

• Practicing essential driving skills and techniques
• Adjusting driving settings to suit specific needs
• Measuring, tagging, commenting, and marking up data

Driving Scenarios and Situations

• Simulating 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 from driving sessions
• Conducting clash detection tests and verifying the integrity of driving sessions

Driving Integration and Application

• Integrating learned knowledge and skills into real-world driving challenges
• Connecting and collaborating with other drivers and instructors
• Evaluating and creating material estimates for driving sessions
• Creating and animating driving timelines while validating scheduling accuracy

Troubleshooting

Summary and Next Steps