Engineering in Autonomous Vehicles (Postgraduate Diploma, L9, 60 ECTS)

This module will provide a comprehensive overview of embedded systems within autonomous vehicles. Building from an overview of vehicle electrical and mechanical systems through to the architecture of systems and emerging trends. Vehicle based communication networks will be assessed and the emerging solutions and challenges associated with AV.

The aim of this module is to provide the learner with an up-to-date, comprehensive knowledge of the main wired and wireless communications technologies that are used in current and future production of Autonomous Vehicle systems.

In this module, students will delve into ADAS system vehicle layout, components and system architectures. Here the learner will evaluate the role cognitive control units play in perceiving and interacting with the environment, enabling the recognition of fellow vehicles and traffic participants. This advanced level of intelligence facilitates the autonomous operation of vehicles, enhancing safety, security, comfort, energy efficiency, and time management. Students will gain comprehensive insights into the intricate information transfer between vehicle components and also the user, road, infrastructure, and traffic data systems. Through vehicle operation management and embedded software system, they will learn what orchestrates and drives the system for efficiency while being environmentally conscious throughout the driving cycle. The module will also focus on the crucial role of sensors and electromagnetic wave emitters, such as radar and light, in providing detailed information about a vehicle’s status and its surroundings. The learner will explore how mobile perception systems derive information about both static and dynamic objects. Additionally, the module will cover the significance of environmental recognition, drawing on a spectrum of data sources including sensor inputs, car-to-car, car-to-infrastructure, and back-to-back communications, as well as accumulated knowledge from prior journeys. Through an in-depth examination of vehicle hardware and software architecture, students will understand how robust systems facilitate swift and dependable data processing.

In this module, students will embark on an in-depth exploration of virtual prototypes and simulation techniques, gaining a robust understanding of their practical applications. With the use of simulation software platforms, this course aims to impart comprehensive knowledge about the principles, characteristics, and benefits of various modelling techniques, emphasising their relevance in contemporary engineering and design disciplines. The module will examine the fundamental concepts underpinning virtual prototypes, providing students with a solid theoretical foundation. Through engaging practical examples and hands-on exercises, participants will learn how to apply these concepts in real-world scenarios, equipping them with a valuable skill set crucial in today’s rapidly evolving technological landscape. Furthermore, the module will introduce a diverse range of cutting-edge tools and software platforms instrumental in implementing virtual prototypes for simulations. Through practical demonstrations and guided exercises, students will become adept at leveraging these tools to conduct precise and reliable simulations across a spectrum of domains. This hands-on experience will empower them to tackle complex engineering challenges with confidence and precision. Throughout the module, students will be encouraged to engage in critical discussions and collaborative projects, fostering a dynamic learning environment that promotes the exchange of ideas and best practices. By the conclusion of this course, participants will possess a comprehensive skill set in virtual prototyping and simulation techniques, positioning them at the forefront of innovation in their respective fields. By successfully completing this module, students will not only gain a deep understanding of virtual prototypes but also acquire the practical proficiency to apply these concepts in a professional setting, making them invaluable assets in the competitive landscape of modern engineering and design industries.

Develop a knowledge of International, European and National Regulations for the development and testing of autonomous systems.

This module can help developers, engineers, and policymakers navigate the complex landscape of regulations, standards, and safety considerations associated with autonomous vehicles. Regulatory Landscape, ISO 26262 – Functional Safety for Road Vehicles, European Commission Regulations, Functional Safety Management, Cybersecurity Standards (ISO/SAE 21434), SOTIF (ISO 21448) – Safety of the Intended Functionality, Communication Protocols and Standards, Human Factors and User Interface Standards, Testing and Validation Standards, Liability and Insurance Compliance, Ethical Considerations and Guidelines.