Our interns became a part of RISE’s lively ecosystem of academics, researchers, creative and onward-looking people, innovators, entrepreneurs and practitioners; most importantly though, they contributed to the development of new ideas, products and services.
RISE CoE partners with University College London (UCL) to identify ways to improve pedestrian safety through innovative new methods. Electronic and Electrical Engineering’s (EEE) third year MEng student Tolga Atun interned as a Research Associate at RISE through the RISE Summer Internship Program and worked under the Biometrics for Smart Human Technologies team. He worked on creating a computer vision system that automatically detects pathway obstructions and damages, enabling the safety of pedestrians in the process. The system, employing Machine Learning (ML), has the largest data-set created to date for detecting barriers for pedestrians using wearable camera technologies.
The team detailed their research in a conference paper, which has been accepted at the prestigious International Conference on Computer Vision (VISAPP 2020) in Malta, 27 – 29 February. The conference aims to become a major point of contact between researchers, engineers and practitioners on the area of computer vision application systems.
Paper abstract and introduction (Full paper to be shared post conference)
Authors: Simoni Panayi, Harris Partaourides, Dr. Zenonas Theodosiou, Professor Andreas Lanitis, Tolga Atun.
Full article:​ https://www.ucl.ac.uk/electronic-electrical-engineering/news/2020/jan/meng-students-work-improving-pedestrian-safety-accepted-top-conference
We look forward to welcoming our Summer 2020 Interns – stay tuned for more information regarding RISE Internship Programs!
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 739578
This project has received funding from the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development