School of Engineering and Informatics (for staff and students)

Autonomous Vehicles (L7) (833H1)

Autonomous Vehicles (L7)

Module 833H1

Module details for 2026/27.

15 credits

FHEQ Level 7 (Masters)

Module learning outcomes

A systematic understanding, and a critical awareness of operating principles of autonomous vehicles including interpreting main concepts, challenges and state-of-the-art technology

A comprehensive understanding of modern algorithms for perception, mapping, path planning and control of autonomous vehicles using visual and depth cameras and other sensors

Originality in application of the mathematical theories to design and real-time implementation of complex algorithms for autonomous vehicles

Analysis of performance of autonomous vehicle algorithms by practical experiments using robots and MATLAB/SIMULINK tools in laboratory

TypeTimingWeighting
Coursework50.00%
Coursework components. Equal weighting for all components.
Group written submissionT2 Week 10  
Unseen ExaminationSemester 2 Assessment50.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterLecture2 hours110101010110
Spring SemesterWorkshop1 hour110101010110
Spring SemesterLaboratory3 hours001010101100

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

Education and Students Office:
Faculty of Science, Engineering and Medicine, Chichester 1 Room 002
Email: fosem-info@sussex.ac.uk
Telephone: 01273 (67) 8195