Machine learning/artificial intelligence for sensor data fusion–opportunities and challenges
During Fusion 2019 Conference (https://www. fusion2019. org/program. html), leading
experts presented ideas on the historical, contemporary, and future coordination of artificial …
experts presented ideas on the historical, contemporary, and future coordination of artificial …
A survey of multimodal sensor fusion for passive RF and EO information integration
A Vakil, J Liu, P Zulch, E Blasch… - IEEE Aerospace and …, 2021 - ieeexplore.ieee.org
Integrating information collected by different types of sensors observing the same or related
phenomenon can lead to more accurate and robust decision making. The purpose of this …
phenomenon can lead to more accurate and robust decision making. The purpose of this …
Protect your sky: A survey of counter unmanned aerial vehicle systems
Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …
Blendmas: A blockchain-enabled decentralized microservices architecture for smart public safety
Thanks to rapid technological advances in the Internet of Things (IoT), a smart public safety
(SPS) system has become feasible by integrating heterogeneous computing devices to …
(SPS) system has become feasible by integrating heterogeneous computing devices to …
Revisiting the JDL model for information Exploitation
The original Joint Directors of Laboratories (JDL) model was developed in the early 90's,
with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing …
with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing …
Towards unbiased evaluation of uncertainty reasoning: The URREF ontology
Current advances in technology, sensor collection, data storage, and data distribution have
afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs …
afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs …
High level information fusion (hlif): Survey of models, issues, and grand challenges
EP Blasch, DA Lambert, P Valin… - IEEE Aerospace and …, 2012 - ieeexplore.ieee.org
High-level information fusion (situation and threat assessment, process and user refinement)
requires novel solutions for the operational transition of information fusion designs. Low …
requires novel solutions for the operational transition of information fusion designs. Low …
[LIVRE][B] Handbook of Dynamic Data Driven Applications Systems
All rights are solely and exclusively licensed by the Publisher, whether the whole or part of
the material is concerned, specifically the rights of translation, reprinting, reuse of …
the material is concerned, specifically the rights of translation, reprinting, reuse of …
Information fusion in a cloud computing era: a systems-level perspective
Information fusion utilizes a collection of data sources for uncertainty reduction, coverage
extension, and situation awareness. Future information fusion solutions require systems …
extension, and situation awareness. Future information fusion solutions require systems …
Methods of AI for multimodal sensing and action for complex situations
Artificial intelligence (AI) seeks to emulate human reasoning, but is still far from achieving
such results for actionable sensing in complex situations. Instead of emulating human …
such results for actionable sensing in complex situations. Instead of emulating human …