Fundamentals of Intelligent Driving Training Course
Intelligent driving is a method that leverages artificial intelligence (AI) and multi-sensor information fusion to provide guidance and feedback to drivers, enabling them to navigate safely and efficiently in complex and dynamic environments.
This instructor-led, live training (online or onsite) is designed for government personnel, including beginner-level to intermediate-level developers and architects who wish to understand the fundamentals of intelligent driving and apply these concepts to real-world scenarios.
By the end of this training, participants will be able to:
- Explain the basic principles of AI and its application in driving.
- Understand the architecture and components of intelligent driving systems for government use.
- Create and visualize a composite driving model from various design disciplines.
- Communicate and annotate issues and feedback within the model.
- Perform clash detection and resolution between different driving scenarios.
- Simulate and control driving schedules and costs.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for government, please contact us to arrange.
Course Outline
Introduction
- What is intelligent driving, and why is it used?
- Intelligent driving versus traditional driving methods
- Overview of intelligent driving features and architecture
- Navigating the intelligent driving interface and workspace for government
Understanding AI and Multi-Sensor Information Fusion
- The lifecycle of an intelligent driving session
- AI and multi-sensor information fusion in intelligent driving
- Creating and importing 3D files for use in intelligent driving
Driving Skills and Techniques
- Practicing essential driving skills and techniques
- Adjusting the settings of the driving environment
- Measuring, tagging, commenting, and marking up driving data
Driving Scenarios and Situations
- Practicing various driving scenarios and situations
- Identifying and responding to potential hazards and risks
- Following and applying road rules and regulations
- Navigating complex and dynamic driving environments
Driving Performance and Evaluation
- Analyzing and evaluating driving performance, behavior, and feedback
- Creating and demonstrating animations of driving sessions
- Generating and viewing images and videos from driving sessions
- Conducting clash detection tests and verifying the integrity of driving sessions
Driving Integration and Application
- Integrating learned knowledge and skills with real-world driving situations and challenges
- Collaborating with other drivers and instructors
- Obtaining and creating material estimates for driving sessions
- Developing and animating driving timelines, and validating driving schedules
Troubleshooting
Summary and Next Steps
Requirements
- An understanding of artificial intelligence (AI) concepts and principles for government applications
- Experience with 3D design software such as AutoCAD, Revit, or 3ds Max
- Basic programming experience (optional)
Audience
- Developers
- Architects
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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