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School of Engineering, Computing and Mathematics
Faculty of Technology, Design and Environment
Phone number: (01865) 483508
Determining fitness to drive is a major concern affecting aging and disabled populations, particularly concerning reduced cognitive functioning, functional limitations and reduced vision [1, 2]. The Royal Society for Prevention of Accidents encourages aging drivers to maintain their licence (for independence, mobility and quality of life), emphasising that prematurely removing someone’s driving licence negatively affects their quality of life - the consequences of which outweigh the chance of being involved in a collision, for both the driver and the remainder of society .
The gold standard test in the United Kingdom (UK) to determine the ability to drive is an on-road driving assessment, and clinicians have the opportunity to refer patients to an independent Mobility Centre (accredited by Driving Mobility) where an assessment will be performed based upon on-road driving experience as judged by a professional driving instructor and occupational therapist. The assessment is resource expensive and only a limited number of individuals are referred. To date no screening test is clinically implemented in the UK which accurately determines fitness to drive.
This study sets out to evaluate the potential of the Montreal Cognitive Assessment (MOCA) as a screening tool, for people with concerns regarding cognitive capacity; to determine pass/fail cuts offs for on-road driving assessment.
The rising popularity of autonomous vehicles has led to the development of driverless racing cars, where thecompetitive nature of motorsport has the potential to drive innovations in autonomous vehicle technology. The challenge of racing requires the sensors, object detection and vehicle control systems to work together at the highest possible speed and computational efficiency. This paper describes an autonomous driving system for a self-driving racing vehicle application using a modest sensor suite coupled with accessible processing hardware, with an object detection system capable of a frame rate of 25fps, and a mean average precision of 92%. A modelling tool is developed in open-source software for real-time dynamic simulation of the autonomous vehicle and associated sensors, which is fully interchangeable with the real vehicle. The simulator provides performance metrics, which enables accelerated and enhanced quantitative analysis, tuning and optimisation of the autonomous control system algorithms. A design study demonstrates the ability of the simulation to assist in control system parameter tuning - resulting in a 12% reduction in lap time, and an average velocity of 25 km/h - indicating the value of using simulation for the optimisation of multiple parameters in the autonomous control system.
Climate change is the defining challenge now facing our planet. Limiting global warming to 1.5 degrees, as advocated by the Intergovernmental Panel on Climate Change, requires rapid, far-reaching, and unprecedented changes in how governments, industries, and societies function by 2030. Computer Science plays an important role in these efforts, both in providing tools for greater understanding of climate science and in reducing the environmental costs of computing. It is vital for Computer Science students to understand how their chosen field can both exacerbate and mitigate the problem of climate change.
We have reviewed the existing literature, interviewed leading experts, and held conversations at the ITiCSE 2019 conference, to identify how universities, departments, and CS educators can most effectively address climate change within Computer Science education. We find that the level of engagement with the issue is still low, and we discuss obstacles at the level of institutional, program and departmental support as well as faculty and student attitudes. We also report on successful efforts to date, and we identify responses, strategies, seed ideas, and resources to assist educators as they prepare their students for a world shaped by climate change.