Fundamentals of Intelligent Driving Training Course
Intelligent driving leverages artificial intelligence and multi-sensor data fusion to offer guidance and feedback, helping drivers navigate complex and dynamic environments safely and efficiently.
This instructor-led, live training (available online or onsite) targets beginner to intermediate developers and architects seeking to grasp the basics of intelligent driving and apply them to practical situations.
Upon completing this training, participants will be capable of:
- Articulating core AI concepts and their application to driving.
- Grasping the architecture and components of intelligent driving systems.
- Constructing and visualizing composite models by integrating various design disciplines.
- Communicating and annotating issues and feedback within the model.
- Conducting clash detection and resolving conflicts between driving scenarios.
- Simulating and managing driving schedules and costs.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction
- What is intelligent driving and why is it used?
- Intelligent driving compared to 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
- Familiarity with 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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