Guidance and Navigation for Autonomous Systems

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.