AI Driven Road Management
Learn how AI and computer vision are transforming road inspection and asset management.
About this course
Learn how AI and computer vision are transforming road inspection and asset management. You will explore the core technologies and real case studies, define functional, data and performance requirements, and build a specification framework for procuring fair, reliable systems.
What you'll learn
- Understand core AI and CV concepts for road inspection and asset management.
- Identify the roles of data, human oversight, and technology in AI-driven systems.
- Define essential functional and non-functional requirements for AI road management solutions.
- Establish meaningful performance metrics and data requirements to ensure system reliability.
- Develop a specification framework to describe and procure an AI-driven road management plan.
- Evaluate AI solutions for fairness, robustness, and integration with existing DoT systems.
Curriculum
- Introduction and Core Concepts
- Essential Technologies for AI Road Management
- Case Studies and Technology Applications
- Backend Systems and Data Processing
- Performance Requirements and Validation
- Advanced Data Requirements and Governance
- Non-Functional Requirements (NFRs)
- Ensuring Fair and Reliable AI
- Crafting Specifications and Workshop
- Course Summary
Who it's for
Transport and infrastructure engineers, public works managers and technology teams in road authorities.
Before you start
No formal prerequisites. Bring curiosity and a willingness to practise.
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