Course description
In modern autonomous systems, it is essential to design an appropriate guidance and navigation system.
Therefore, this course delivers not only fundamental and critical understanding of classical and advanced guidance and navigation theories, but also evaluation of their nature, purposes, pros and cons, and characteristics. This should enable you to critically select and design appropriate guidance and navigation for your specific autonomous systems.
Upcoming start dates
Suitability - Who should attend?
This course is ideal for engineers with interest in guidance and navigation systems.
Outcome / Qualification etc.
What you will learn
The aim of this course is to provide you with a fundamental understanding and knowledge of conventional and modern guidance and navigation for autonomous systems.
On successful completion of the module you will be able to:
- Critically understand the fundamentals of the various guidance techniques and their properties
- Describe the algorithms that are required to produce an estimate of position and attitude
- Demonstrate the characteristics, purposes, and design procedures of guidance and navigation systems
- Evaluate challenging problems in the guidance and navigation approaches for autonomous systems
- Demonstrate challenging issues of the cooperative guidance design and critically evaluate the cooperative guidance systems to be able to enhance the overall performance.
Training Course Content
Core content
Topics covered by the course include:
- Introduction on navigation and guidance systems
- Path planning for UGV (Unmanned Ground Vehicle)
- UAV (Unmanned Aerial Vehicle) guidance systems
- Guidance approaches: conventional guidance such as PN (Proportional Navigation), geometric guidance, path planning and following, and optimal guidance
- Navigation approaches: navigation systems, GNSS (Global Navigation Satellite System), terrain based navigation, SLAM (Simultaneous Localisation and Mapping)
- Cooperative guidance and collision avoidance.
Course delivery details
Course structure
This course consists of lectures, case studies, and lab sessions on guidance and navigation for autonomous systems. Matlab will be used during lab sessions. All delegates will receive a Certificate of Attendance at the end of the course.
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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...