CIV5100 · Autonomous vehicle system

Overview

In this unit, you will be introduced to autonomous systems broadly and autonomous vehicle (AV) systems, in particular, along with how these technologies are developed. You will gain foundational systems engineering knowledge of AVs, including their core building blocks, how they are designed, integrated and coordinated to achieve fully autonomous driving in complex and unpredictable environments. It will also support your learning by providing opportunities to engage with autonomous vehicle technologies and explore the processes involved in testing, validating, and refining these systems for real-world use.

Areas of study: E6013 Master of Applied Engineering - Specialisation: Smart and sustainable mobility

Offerings

Assessment

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

Continuous assessment: 100% The assessments in this unit are designed to demonstrate the achievement of the advanced learning outcomes and standards expected of Master’s level coursework.

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

Requisites

Learning outcomes

1. Appraise the overall architecture of an autonomous vehicle (AV) system, including its key components and functionalities.
2. Apply learned concepts to design algorithms for key AV functionalities, including localisation, perception, planning, and control.
3. Critically analyse the integration of the AV system, focusing on testing and validation of algorithms and system decision-making.
4. Evaluate the performance and interactions of the AV system within urban networks, considering various factors like safety, efficiency, and adaptability.
5. Synthesise findings, insights, or professional recommendations related to AV systems to both specialist and 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.

Student experience, not official rules. Nothing here changes what the Handbook says.