Fundamentals of Intelligent Driving Training Course
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.
Course Outline
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
Requirements
- 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
Need help picking the right course?
macao@nobleprog.com or +852 81990613
Fundamentals of Intelligent Driving Training Course - Enquiry
Fundamentals of Intelligent Driving - Consultancy Enquiry
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