Fundamentals of Intelligent Driving Training Course

Introduction

• Defining intelligent driving and its value proposition.
• Comparing intelligent driving with traditional methods.
• An overview of intelligent driving features and system architecture.
• Navigating the intelligent driving interface and workspace.

Exploring AI and Multi-Sensor Information Fusion

• The lifecycle of an intelligent driving session.
• The role of AI and multi-sensor fusion in driving intelligence.
• Creating and importing 3D files for intelligent driving applications.

Driving Skills and Techniques

• Practicing essential driving skills and techniques.
• Optimizing driving settings.
• Executing measurements, tagging, comments, and markup.

Driving Scenarios and Situations

• Practicing various driving scenarios and situations.
• Identifying and reacting to potential hazards and risks.
• Adhering to and applying road rules and regulations.
• Managing complex and dynamic driving environments.

Driving Performance and Evaluation

• Analyzing and assessing driving performance, behavior, and feedback.
• Creating and presenting animations of driving sessions.
• Generating and reviewing images and videos from driving sessions.
• Conducting clash detection tests and verifying the integrity of driving sessions.

Driving Integration and Application

• Integrating acquired knowledge and skills with real-world driving challenges.
• Collaborating and connecting with other drivers and instructors.
• Estimating and generating material requirements for driving sessions.
• Developing and animating driving timelines while validating schedule feasibility.

Troubleshooting

Summary and Next Steps