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CIV4100 · Autonomous vehicle systems

Official Handbook

2026 Handbook6 credit pointsLevel 4Department of Civil and Environmental Engineering

Last checked: 23 Aug 2026 UTC

Overview

This unit will introduce students to autonomous systems in general, autonomous vehicle (AV) system in particular, and its development. The unit will provide the fundamental system engineering knowledge of autonomous vehicle systems including the main building blocks, their design, integration and coordination to achieve the ultimate outcome of self-driving in a complex and uncertain environment. It will also cover and facilitate the learning in the further development of such systems through working and interacting with the actual autonomous vehicle and its testing and validation processes.

Areas of study: Minor: Artificial intelligence in engineering Minor: Electric vehicle technology Minor: Transport

Offerings

CampusTeaching periodMode
ClaytonFirst semesterTeaching activities are on-campus (ON-CAMPUS)
MalaysiaFirst semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Weekly practical class exercisesQuiz / Test15%
2Formative assignmentProject45%
3Summative assignmentProject40%

Continuous assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prohibitions

  • CIV5100 — Autonomous vehicle system

prerequisite

  • ENG2005 — Advanced engineering mathematics
  • ENG1014 — Engineering numerical analysis
  • ENG1060 — Computing for engineers

Joined by OR.

Learning outcomes

  1. Describe the overall architecture of an autonomous vehicle (AV) system.
  2. Apply learned concepts to design algorithms for different functionalities of the AV system, such as localisation, perception, planning and control.
  3. Integrate and evaluate the AV system including testing and validation of algorithms and decision-making of the system.
  4. Critically appraise the different aspects of the AV system and its interactions in the urban networks.
  5. Effectively communicate findings, insights or professional recommendations to specialist and/or non-specialist audiences.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

ActivityDuration
Practical activities24 hours
Practical activities24 hours
Workshops24 hours
Workshops24 hours

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