Fundamentals of Intelligent Driving Training Course
Intelligent driving employs AI and multi-sensor data fusion to offer guidance and feedback to drivers seeking to navigate safely and efficiently within complex, dynamic environments.
This instructor-led, live training (available online or on-site) is designed for beginner to intermediate developers and architects eager to grasp the core principles of intelligent driving and apply them to practical scenarios.
Upon completing this training, participants will be able to:
- Articulate the foundational concepts and principles of AI and their application to driving.
- Comprehend the architecture and components of intelligent driving systems.
- Construct and visualise a composite driving model integrating various design disciplines.
- Communicate and annotate issues and feedback within the model.
- Conduct clash detection and resolution across driving scenarios.
- Simulate and manage driving schedules and associated costs.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live laboratory environment.
Course Customization Options
- To request tailored training for this course, please contact us to arrange details.
Course Outline
Introduction
- What is intelligent driving and why is it used?
- Intelligent driving versus 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 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 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
- A solid 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?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Fundamentals of Intelligent Driving Training Course - Enquiry
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