During Fusion 2019 Conference (https://www. fusion2019. org/program. html), leading
experts presented ideas on the historical, contemporary, and future coordination of artificial …

The wide deployment of multi-modal sensors in various areas generates vast amounts of
data with characteristics of high volume, wide variety, and high integrity. However, traditional …

The UK OST Technology Foresight for defence and aerospace identified multi-sensor data
fusion as a future critical enabling technology for the UK, requiring a coordinated research …

The paper enhances deep-neural-network-based inference in sensing applications by
introducing a lightweight attention mechanism called the global attention module for multi …

In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

In the years since the bestselling first edition, fusion research and applications have adapted
to service-oriented architectures and pushed the boundaries of situational modeling in …

There are many sensor fusion frameworks proposed in the literature using different sensors
and fusion methods combinations and configurations. More focus has been on improving …

In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

The adoption of multi-sensor data fusion techniques is essential to effectively merge and
analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart …

Multisensor data fusion is an emerging technology applied to Department of Defense (DoD)
areas such as automated target recognition, battlefield surveillance, and guidance and …