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Massimiliano Iacono

3 accepted papers

2023

Hybrid Object Tracking with Events and Frames

IROS 2023poster

Robust object pose tracking plays an important role in robot manipulation, but it is still an open issue for quickly moving targets as motion blur and low frequency detection can reduce pose estimation accuracy even for state-of-the-art RGB-D-based methods. An event-camera is a low-latency vision se…

Cited by 1SourcecodeScholar
2019

Proto-object based saliency for event-driven cameras

IROS 2019poster

Autonomous robots can rely on attention mechanisms to explore complex scenes and select salient stimuli relevant for behaviour. Stimulus selection should be fast to efficiently allocate available (and limited) computational resources to process in detail a subset of the otherwise overwhelmingly larg…

Cited by 20SourceScholar
2018

Towards Event-Driven Object Detection with Off-the-Shelf Deep Learning

IROS 2018poster

Event cameras are an emerging technology in computer vision, offering extremely low latency and bandwidth, as well as a high temporal resolution and dynamic range. Inherent data compression is achieved as pixel data is only produced by contrast changes at the edges of moving objects. However, curren…

Cited by 77SourceScholar