Aston University project with Aurrigo improves its driverless vehicle’s capabilities
Aston University project with transport technology company Aurrigo improves its driverless vehicle’s capabilities
- Sophisticated machine vision solution for autonomous vehicles developed through a knowledge transfer partnership with Aston University
- Machine learning and artificial intelligence used to detect and avoid unexpected obstacles
- Technology has improved driverless vehicle capability and operation
Aston University has completed a two-year Knowledge Transfer Partnership (KTP) with Coventry-based global transport technology firm Aurrigo, resulting in a sophisticated machine vision solution making its autonomous vehicles more capable.
The project has led to the company’s driverless vehicles being able to see and recognise objects in greater detail resulting in improved performance across a wider spectrum of operational domains.
Previously the company’s driverless vehicles were only capable of detecting that there was an object in their path and not the type of object, so would just stop when they encountered something in their way.
The project team leveraged computer vision systems, coupled with machine learning and artificial intelligence, to differentiate between objects of interest. The new technology has been applied to the company’s airport Auto-Dolly, which is now able to differentiate between many different objects airside improving its operational performance.
This project has built on the success of Aurrigo’s passenger and airport transport solutions and has been awarded the highest grade of ‘Outstanding’ by the Innovate UK KTP Grading Panel.
The Aston University team was led by Dr George Vogiatzis, senior lecturer in computer science, who has extensive research in the subjects of machine vision, machine learning and artificial intelligence, including deep-learning neural networks and deep-learning methodologies for indexing large video and image collections.
He was joined by Dr Luis Manso, lecturer in computer science, whose research interests include active perception, social and assistive robotics, ambient intelligence, robotic cognitive architectures, human-robot interaction, and deep geometric learning.
James Heaton, KTP associate for the partnership, deployed computer vision and machine learning systems onto the company’s autonomous vehicles. Following the completion of the project, James has been employed by Aurrigo as a machine learning engineer.
Dr George Vogiatzis, senior lecturer in computer science at Aston University, said:
“This KTP has been a great way for us to work with a new industrial partner whilst applying our expertise in deep learning and robotics to the exciting field of autonomous vehicles.
“It is very rewarding to see the success of this collaboration.”
Professor David Keene, CEO of Aurrigo, said:
“KTPs provide resource and academic support to companies with development ideas which otherwise may not be possible.
“This partnership has allowed us to produce a system which has resulted in our vehicles becoming smarter and more capable and enabled us to expand our operations, particularly with baggage handling in airports worldwide.”
Learnings of this project will have further applications for vehicles in their larger product range.
A KTP is a three-way collaboration between a business, an academic partner and a highly qualified researcher, known as a KTP associate. Aston University is a leading KTP provider in the West Midlands, ranked third in terms of volume by Innovate UK, the National body.
A Knowledge Transfer Partnership (KTP) is a UK-wide programme that helps businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills. Aston University is a leading KTP provider, ranked third in terms of volume by Innovate UK, the National body.
This project is co-funded by the UK’s innovation agency, Innovate UK and was awarded the highest grade of ‘Outstanding’ by the Innovate UK KTP Grading Panel.