Course description
The course introduces the AI algorithms suitable for real life challenges in AS: target detection, identification, recognition and tracking, including efficiency assessment and uncertainty reduction.
Artificial Intelligence enables transformation from the remotely controlled autonomous system into the Intelligent Autonomous System. Knowledge of the AI algorithms and ability to implement them effectively in the modern context of autonomous system is a crucial milestone on the way of this transformation.
Upcoming start dates
Suitability - Who should attend?
This course is the best choice for those who are involved in the design and validation of the autonomous systems, such as unmanned aerial vehicles (UAV) or unmanned ground vehicles. It is also suitable for those that work in areas related to implementation of the Artificial Intelligence for various aspects of their operation.
Outcome / Qualification etc.
What you will learn
The course gives a theoretical and methodological background for implementation of Artificial Intelligence into autonomous systems, with the possibility to apply the gained knowledge to real world tasks.
On successful completion you should be able to:
- Categorize AI methods for real-life scenarios of AS applications.
- Assess applicability of Artificial Intelligence (AI) algorithms for AS.
- Set up the commonly used AI algorithms for application in the AS context.
- Evaluate performance of AI algorithms for a typical AS application in a simulation environment.
Training Course Content
Core content
Topics covered by the course include:
- Introduction to AI for AS with overview of AS sensors and imaging
- AI Algorithms: Supervised Learning – support vector machine, neural networks and deep neural networks
- AI Algorithms: Unsupervised Learning
- Automated Reasoning: Bayesian Networks
- Lab sessions on Unsupervised and Supervised Learning, including deep learning
- Case study
Course delivery details
Course structure
The course duration is 5 days; it has 28 hours of teaching time, from which 13 hours are related to practical work; the rest are lectures. Lectures are 9.00 – 16.00 each day apart from the last day finishes at lunchtime.
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Cranfield University
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management. We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education...