Seeing through Space and Time: Spatio-Temporal Event Processing for Robots. This project will develop a theoretically well founded and computationally feasible spatio-temporal modelling and signal pro

Description

Seeing through Space and Time: Spatio-Temporal Event Processing for Robots. This project will develop a theoretically well founded and computationally feasible spatio-temporal modelling and signal processing framework to exploit the coming revolution in event-based sensors exemplified by the recent arrival of commercial event cameras. Event sensors measure relative signal changes, generating asynchronous event streams with low latency and high dynamic range, offering hope that robots and other autonomous systems can perceive the world in real time as events occur rather than via freeze frames provided by classical cameras and digital sensors. Project outcomes will enable safer autonomous driving, visual communication systems for smart cities, and a range of applications in consumer electronics and virtual reality.. Scheme: Discovery Projects. Field: 4007 - Control Engineering, Mechatronics and Robotics. Lead: Prof Robert Mahony