Decentralized Dynamic Data-driven Monitoring of Atmospheric Dispersion Processes

Ritter, Tobias; Euler, Juliane; Ulbrich, Stefan; Stryk, Oskar von

doi:10.1016/j.procs.2016.05.382

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Sensor fusion plays an essential role in solving the wellknown SLAM problems (c.f. [110]). One of the greatest obstacles of using SLAM in a real-world environment is the need to maintain the full correlation structure between the vehicle and all of the landmark estimates.…”

Section: Practical Applicationsmentioning

confidence: 99%

Information Fusion over Network Dynamics with Unknown Correlations: An Overview

Yang

2023

IJNDI

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Survey/review study Information Fusion over Network Dynamics with Unknown Correlations: An Overview Wangyan Li 1, and Fuwen Yang 2,* 1 College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China 2 Griffth School of Engineering, Griffth University, Gold Coast Campus, QLD 4222, Australia * Correspondence: fuwen.yang@griffth.edu.au Received: 24 October 2022 Accepted: 22 November 2022 Published: Abstract: Unknown correlations (UCs) generally exist in a wide spectrum of practical multi-source information fusion problems, and thereby, their corresponding fusion problems have become one of the most important topics in information fusion domain. During the past three decades, the research on this topic has been growing rapidly and extensively, and, as a result, various important advances have been reported. In this overview, we intend to summarize the culmination of years of development in the field of information fusion under UCs as a roadmap. First, the potential reasons leading to UCs are investigated. According to the unknown nature of correlations, we further divide UCs into two categories, i.e., fully UCs, and partially UCs. For each category, the corresponding fusion methods are reviewed. Next, this roadmap witnesses the recent development of information fusion under UCs in a distributed way thanks to the popularity of distributed sensing technology. In particular, the distributed fusion techniques based on consensus, diffusion, and multi-object tracking strategies for UCs are examined. Finally, some future perspectives on information fusion under UCs are pointed out.

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Section: Practical Applicationsmentioning

confidence: 99%

Information Fusion over Network Dynamics with Unknown Correlations: An Overview

Yang

2023

IJNDI

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“…The UAVs establish communication bridges between UGVs and our operations and command center (OCC) from time to time, i.e., the UAVs should position themselves near specific prescribed locations between UGVs and the OCC to enable communication. The task of allocating and getting to these positions is solved cooperatively and decentrally; necessary control inputs for each UAV are computed locally on board of the UAVs by applying a feedback and optimization-based vehicle controller [33], [34]. This vehicle controller uses a mixed logical dynamical (MLD) approach to model the multi-vehicle system [35] consisting of every UAV within the communication radius.…”

Section: B Unmanned Aerial Vehiclesmentioning

confidence: 99%

Emergency communication in challenged environments via unmanned ground and aerial vehicles

Baumgärtner

Kohlbrecher

Euler

et al. 2017

2017 IEEE Global Humanitarian Technology Conference (GHTC)

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Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network connections to the vehicles. However, network connections in challenged environments are often lost, thus control can no longer be exercised. In this paper, we present a novel approach to emergency communication where semi-autonomous UGVs and UAVs cooperate with humans to dynamically form communication islands and establish communication bridges between these islands. Humans typically form an island with their mobile devices if they are in physical proximity; UGVs and UAVs extend an island's range by carrying data to a neighboring island. The proposed approach uses delay/disruptiontolerant networking for non-time critical tasks and direct mesh connections for prioritized tasks that require real-time feedback. The developed communication platform runs on rescue robots, commodity mobile devices, and various drones, and supports our operations and control center software for disaster management.

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