Fundamentals of Intelligent Driving

• An understanding of artificial intelligence (AI) concepts and principles
• Experience with 3D design software such as AutoCAD, Revit, or 3ds Max
• Basic programming experience (optional)

Audience

• Developers
• Architects

Intelligent driving is a type of driving that uses AI and multi-sensor information fusion to provide guidance and feedback to drivers who want to drive safely and efficiently in complex and dynamic environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

By the end of this training, participants will be able to:

• Explain the basic concepts and principles of AI and how it can be applied to driving.
• Understand the architecture and components of intelligent driving systems.
• Create and visualize a composite driving model from different design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and control driving schedules and costs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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 the 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