Spiking Neural Networks for Fast-Moving Object Detection on Neuromorphic Hardware Devices Using an Event-Based Camera

arXiv:2403.10677v1 Announce Type: cross
Abstract: Table tennis is a fast-paced and exhilarating sport that demands agility, precision, and fast reflexes. In recent years, robotic table tennis has become a popular research challenge for robot perception algorithms. Fast and accurate ball detection is crucial for enabling a robotic arm to rally the ball back successfully. Previous approaches have employed conventional frame-based cameras with Convolutional Neural Networks (CNNs) or traditional computer vision methods. In this paper, we propose a novel solution that …

abstract agility algorithms arxiv become challenge cs.cv cs.ro detection devices enabling event hardware moving networks neural networks neuromorphic object perception popular precision research robot robotic robot perception spiking neural networks sport table tennis type