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School of Engineering and Informatics (for staff and students)

Autonomous Vehicles (H7122)

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Autonomous Vehicles

Module H7122

Module details for 2024/25.

15 credits

FHEQ Level 6

Module Outline

This module introduces the concepts and operating principles along with challenges and technology of autonomous vehicles with the focus on the planar vehicles. Topics to be covered will include:
• A systematic understanding and practical experiments of vehicle dynamics focusing on kinematics and dynamics of unicycle robots for modelling, simulation and control of the longitudinal and lateral motions.
• A systematic understanding and practical experiments of vision-based perception including sensors, image processing techniques to percept the surrounding environment, and different techniques to represent the precepted maps.
• A systematic understanding and practical experiments of the mapping and Localisation algorithms including odometric and simultaneous mapping and localisation (SLAM).
• A systematic understanding and practical experiments of the potential field and search-based motion planning algorithms to achieve a destination while avoiding obstacles.
• A systematic understanding of advanced estimation and control techniques for autonomous vehicles.

The syllabus covers the following AHEP4 learning outcomes: C1, C2, C3, C6, C12, C13, C16, C17, M1, M2, M3, M6, M12, M13, M16, M17

Module learning outcomes

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

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

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. Weighted as shown below.
Group written submissionT2 Week 10 100.00%
Computer Based ExamSemester 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 hours11010101011
Spring SemesterWorkshop1 hour11010101011
Spring SemesterLaboratory3 hours00101010100

How to read the week pattern

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

Dr Arash Moradinegade Dizqah

Assess convenor
/profiles/449994

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

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)

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