Autonomous/Automated vehicles (AVs) aim to enhance and improve the safety and efficiency of future mobility, therefore this module introduces and explores the key subjects related to future AV development.
The key topics are: understanding the complexity of autonomous vehicle systems; human factors affecting the design of future AVs; analysing the key perception sensors; understanding how machine learning is used; understanding how networks and communications can support AVs. Key topics are introduced from both the theoretical and practical viewpoints to encourage independent critical evaluation of the subject matter.
Smart, Connected and Autonomous Vehicle Fundamentals aims to introduce the students to the key challenges associated to smart, connected and autonomous vehicles: SAE levels of autonomy and their implications on safety; robustness of embedded systems; environmental perception and data science; connectivity and communication infrastructures; test techniques for SCAVs; new mobility models and human factors. Learning is enhanced through tutorials and the understanding of unique experimental facilities such as 3xD (Drive-in Driver-in-the-loop Driving) simulator facility.
This module aims to provide the students with the critical knowledge associated with current and future technical challenges of smart, connected and autonomous vehicles and their importance for electrification.
Upon successful completion participants will be able to:
- demonstrate an in-depth knowledge of key principles underpinning human interaction and apply it to compare/criticise the design
- evaluate and compare the performance of different automotive perception sensors
- demonstrate a critical high-level understanding of challenges associated with data science and machine learning techniques, in the context of safe Automated Vehicles
- demonstrate an applied knowledge of automotive system complexity and their testing.
- Critically evaluate wired and wireless communication technologies in the SCAV context.
- Apply acquired knowledge to criticise and implement technical choices in the design of AVs.
This module covers the topics are related to:
- system complexity in Automated Vehicles (AVs) Levels of Autonomy
- AV testing • Supply chain and business models of mobility as service; Safety standards and analysis techniques;
- trust, AV stakeholders, wellbeing and sensing the human
- Perception Sensors
- Wired(CAN, Lin,...) and wireless (LTE, 5G, DSRC)communication for AVs
- Data science basis for machine intelligence and neural network
- 4,000 words Post Module assignment (70% weighting)
- In Module assessments (30% weighting)
2 weeks, including 20 hours of lectures, 8 hours of lectures and 4 hours of supervised practical classess
This is an elective module on the full-time and part-time MSc in Sustainable Automotive Electrification and as part of the part-time TAS JLR scheme.
Please note: the details of this module are correct for the current year of study and may be subject to change for future years.