2.3k citations · 3k across the 20 of their papers we have counts for
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Neuromorphic Object Detection: An In-Depth Study and Future Directions
Jianing Li, Dianze Li, Arren Glover +5
Conventional frame-based cameras face significant challenges in detecting objects under high-speed motion blur or in low-light environments. Neuromorphic cameras provide asynchrono…
6-DoF Object Tracking with Event-based Optical Flow and Frames
Zhichao Li, Arren Glover, Chiara Bartolozzi +1
Tracking the position and orientation of objects in space (i.e., in 6-DoF) in real time is a fundamental problem in robotics for environment interaction. It becomes more challengin…
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
Marco Monforte, Luna Gava, Massimiliano Iacono +2
Prediction skills can be crucial for the success of tasks where robots have limited time to act or joints actuation power. In such a scenario, a vision system with a fixed, possibl…
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F Muller-Cleve, Vittorio Fra, Lyes Khacef +8
Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world activities. Recent deep learning approaches have reached outstan…
LuvHarris: A Practical Corner Detector for Event-cameras
Arren Glover, Aiko Dinale, Leandro De Souza Rosa +2
There have been a number of corner detection methods proposed for event cameras in the last years, since event-driven computer vision has become more accessible. Current state-of-t…
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
Marco Monforte, Ander Arriandiaga, Arren Glover +1
This paper investigates trajectory prediction for robotics, to improve the interaction of robots with moving targets, such as catching a bouncing ball. Unexpected, highly-non-linea…