The aim of this PhD studentship is to research the combination of an infrared event-driven camera (EDC) with data processing algorithms based on neuromorphic (NM) processing and Spiking Neural Networks (SNN), addressing EPSRC’s mission inspired challenges for AI, Digitisation & Data.
Event-driven detection and NM processing are finding applications in several engineering problems concerned with the detection of movement, alignment, tracking and autonomous navigation. Although EDC are now commercially available, they are limited to the visible and near-infrared detection band.
An infrared EDC would widen the scope of SNN data processing to areas where infrared detection is essential, for example:
- highspeed tracking of long-range objects
- day/night machine vision: navigation and obstacle avoidance in autonomous vehicles
This studentship builds on the long-standing collaboration between Strathclyde and Leonardo UK in this field.
The student will join the Department of Electronic & Electrical Engineering at Strathclyde and collaborate with Leonardo engineers to develop the industrial collaboration. This exposes the student to different application areas and will equip the student with a sound understanding of both infrared technology and use case requirements.
The student will investigate the broad subjects of EDCs and SNNs and conduct their own initial modelling and demonstrations to establish fundamental understanding, and then proceed to develop and assess SNN algorithms guided by the key research questions.
As a PhD researcher at Strathclyde, the student will be enrolled in the Researcher Development Programme which supports PGR students in their continued personal and professional development, with the additional opportunity of gaining a PG Certificate in Researcher Professional Development.
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