Deep Fusion of Multi-Object Densities Using Transformer. (arXiv:2209.08857v2 [cs.LG] UPDATED)

In this paper, we demonstrate that deep learning based method can be used to
fuse multi-object densities. Given a scenario with several sensors with
possibly different field-of-views, tracking is performed locally in each sensor
by a tracker, which produces random finite set multi-object densities. To fuse
outputs from different trackers, we adapt a recently proposed transformer-based
multi-object tracker, where the fusion result is a global multi-object density,
describing the set of all alive objects at the current time. We compare …

arxiv fusion transformer