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School of Engineering and Informatics (for staff and students)

Autonomous Vehicles (H7122)

Autonomous Vehicles

Module H7122

Module details for 2021/22.

15 credits

FHEQ Level 6

Module Outline

This module introduces the concepts of autonomous vehicles focusing on control systems engineering issues related to decision making in autonomous operation. The module covers several topics including navigation, communication, path planning, obstacle avoidance, simultaneous localisation and mapping (SLAM), modelling and simulation of autonomous systems. Case studies demonstrating real world applications of the techniques used in the development and deployment of autonomous systems are also included in this module.

AHEP3 Learning Outcomes
SM1p, SM2p, SM3p, SM1m, SM2m, SM3m, SM4m, SM5m, SM6m, EA1p, EA2p, EA3p, EA4p, EA1m, EA2m, EA3m, EA4m, EA5m, EA6m, D3p, D6p, D3m, D6m, EP1p, EP2p, EP3p, E4p, EP8p, EP9p, EP1m, EP2m, EP3m, EP4m, EP8m, EP9m, EP11m.

Module learning outcomes

Demonstrate knowledge and understanding of concepts, architectures and techniques used in autonomous vehicles

Demonstrate ability to apply and analyse fundamental methods in autonomous vehicles such as navigation, communication, motion planning, obstacle avoidance, simultaneous localisation and mapping

Demonstrate ability to identify and analyse the autonomous systems through the use of modelling and simulation techniques

Demonstrate understanding of contexts in which the control techniques used in the autonomous systems can be applied in real world scenarios

TypeTimingWeighting
Computer Based ExamSemester 2 Assessment50.00%
Coursework50.00%
Coursework components. Weighted as shown below.
Group written submissionT2 Week 10 90.00%
Group PresentationT2 Week 11 10.00%
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 hours11010101010
Spring SemesterWorkshop1 hour11010101010
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 Bao Kha Nguyen

Assess convenor
/profiles/420275

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)

School Office:
School of Engineering and Informatics, ÅÝܽ¶ÌÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
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