In modern autonomous systems, it is essential to design an appropriate guidance and navigation system. Read more Read less

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.

At a glance

Course structure

A five-day course consisting 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.

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.

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.

Who should attend

This course is ideal for engineers with interest in guidance and navigation systems.

Concessions

10% discount applies if booked 8 weeks in advance.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information about our on campus accommodation can be found here.  Alternatively you may wish to make your own arrangements at a nearby hotel. 

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

Cranfield University
College Road
Cranfield
Bedford 
MK43 0AL

Read our Professional development (CPD) booking conditions.