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DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety

Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee
2022 Drones  
A benchmark dataset is also provided for subsequent performance evaluation of other object detection models.  ...  The emergence of non-military use of drones especially for logistics comes with the challenge of redefining the anti-drone approach in determining a drone's harmful status in the airspace based on certain  ...  To formulate a perceived threat analysis model for determining the harmful status of a detected drone in the airspace; 3.  ... 
doi:10.3390/drones6020046 fatcat:pgdb43fjs5hh7ch6pdtbcxabjq

Detect and Avoid Considerations for Safe sUAS Operations in Urban Environments

Victor Celdran Martinez, Bilkan Ince, Praveen Kumar Selvam, Ivan Petrunin, Minguk Seo, Edward Anastassacos, Paul G. Royall, Adrian Cole, Antonios Tsourdos, Sebastian Knorr
2021 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)  
Different missions for the defined scenarios are designed and performed within the simulation model in Software Tool Kit (STK) software environment, covering a wide range of practical cases.  ...  The proposed approach forms a valuable asset for safe operations validation, enabling better evaluation of risk mitigation for sUAS urban operations and safety-focused design of the sensor payload and  ...  The authors would like to thank for their helpful suggestions and insight the AiResponse consortium members, composed by Intelsius, The Drone Office, HEROTECH8, BlueBear, Cranfield University, King's College  ... 
doi:10.1109/dasc52595.2021.9594407 fatcat:ivqa43cq7nahrcleunn4ox4zhm

Aircraft Proximity Maps Based on Data-Driven Flow Modeling

Erwan Salaun, Maxime Gariel, Adan E. Vela, Eric Feron
2012 Journal of Guidance Control and Dynamics  
This paper discussed the problem of computing complexity maps using Conclusions airspace statistical g a parameterized generative model driven by historical flight data.  ...  To enable the creation of the proximity maps, a consistence model of airspace is required. However, because a describing airspace is quite complex, we introduce a dimensionally reduced model.  ... 
doi:10.2514/1.53859 fatcat:e7ylbhsix5gwbnenyx7cox6e2m

Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends [article]

Zhiqing Wei, Zeyang Meng, Meichen Lai, Huici Wu, Jiarong Han, Zhiyong Feng
2022 arXiv   pre-print
The anti-collision technologies are of vital importance to guarantee the survivability and safety of UAVs. In this article, a comprehensive survey on UAV anti-collision technologies is presented.  ...  Besides, the future trends on UAV anti-collision technologies are presented from the perspective of fast obstacle sensing and fast wireless networking. Finally, we summarize this article.  ...  G-FCNN algorithm to evaluate the path. [77] Applied neural network and Q-learning algorithm to solve the 3-D collision avoidance problem. [78] Applied CGAN network to build the depth map used for further  ... 
arXiv:2109.12832v3 fatcat:z6apje7csbahnhv3uetcn4pv7y

Scanning the Issue

Petros Ioannou
2018 IEEE transactions on intelligent transportation systems (Print)  
They propose an algorithm to obtain the unique normalized Nash equilibrium point for this problem.  ...  They adopt a cake-cutting game model to capture the interactions among PV groups, the cloud, and smart grids.  ...  For the former, it has been shown how to reduce the complexity of this problem.  ... 
doi:10.1109/tits.2018.2857658 fatcat:76cvnxxqv5gi7db4pvdls6sbla

Review on meta-heuristics approaches for airside operation research

K.K.H. Ng, C.K.M. Lee, Felix T.S. Chan, Yaqiong Lv
2018 Applied Soft Computing  
Meta-heuristics approach is a high-level problem-independent framework, which provides a trajectory of searching for close-to-optimal solutions from practical problems within satisfactory computation time  ...  The selection of proper meta-heuristics was related to the complexities of exploitation and exploration on the CO problem.  ...  comments for the continuing improvement of this article.  ... 
doi:10.1016/j.asoc.2018.02.013 fatcat:fvpq3pblwjbghdtdxi5a6sh73e

Distributed Intelligence for Air Fleet Control [chapter]

Randall Steeb, Stephanie Cammarata, Frederick A. Hayes-Roth, Perry W. Thorndyke, Robert B. Wesson
1988 Readings in Distributed Artificial Intelligence  
The work has focused on development of organizations for cooperative problem-solving in complex, spatially distributed systems, using air traffic control as an illustrative context.  ...  'l040b APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIMITED PREFACE This report summarizes the results of a nine-month investigation of distributed intelligence for air fleet control, conducted for the  ...  Situational complexity-the number of elements necessary for problem representation.  ... 
doi:10.1016/b978-0-934613-63-7.50011-5 fatcat:pvhtxcl7jvfe3oeja4s6swwwy4

Influences of communication structural complexity on operational safety in regional airspace design

Neale L. Fulton, Mark Westcott, Stephen Emery
2011 Safety Science  
To show how the failure modes are influenced by these parameters, the paper uses a novel form of nested plot for high-dimensional data that was developed for similar displays in a large commercial contract  ...  The paper uses a simple but revealing model of aircraft operation within a multiple radio frequency structure to study these operational modes.  ...  In this situation the natural model is that of a parallel redundant heterogeneous communication network.  ... 
doi:10.1016/j.ssci.2010.12.002 fatcat:iig42xa5tnettnafjsg7feaeg4

Machine Learning and Cognitive Ergonomics in Air Traffic Management: Recent Developments and Considerations for Certification

Trevor Kistan, Alessandro Gardi, Roberto Sabatini
2018 Aerospace (Basel)  
By considering a novel cognitive human–machine interface (HMI), configured via machine learning, we examined the requirements for such techniques to be deployed operationally in an ATM system, exploring  ...  Furthermore, we postulate that the increasing levels of automation and autonomy introduced by AI techniques will eventually subject ATM systems to certification requirements, and we propose a means by  ...  Deep learning/deep neural networks are an advanced specialisation within machine learning that use a multi-layered model of human neural networks.  ... 
doi:10.3390/aerospace5040103 fatcat:vjyg3cwkyrag7p35olkyzf4i74

Fundamental Elements of an Urban UTM

Tim McCarthy, Lars Pforte, Rebekah Burke
2020 Aerospace (Basel)  
These approaches include the certification of drones for urban operation, the adoption of a collaborative and democratic approach to designing urban airspace, the development of a scalable traffic management  ...  A key challenge is how to model airspace environments over densely populated urban spaces, coupled with the design and development of scalable traffic management systems that may need to handle potentially  ...  A natural approach to the problem is through the use of a graph network of nodes and edges.  ... 
doi:10.3390/aerospace7070085 fatcat:inq2owrforajfevupb62rqneh4

On the transition and migration of flight functions in the airspace system

T. Morris, S. Young
2012 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC)  
This paper will discuss how a safe and effective migration of any flight function must consider several interrelated issues, including, for example, shared situation awareness, and automation addiction  ...  These overhauls of the airspace system will be accomplished by accommodating the functional capabilities, benefits, and limitations of technology and automation together with the unique and sometimes overlapping  ...  The example shown is that there is too much information or complexity for the pilot to effectively perform a required task. This problem can be solved via multiple courses of action.  ... 
doi:10.1109/dasc.2012.6383126 fatcat:hdxnglskpzcz5kkoplbrxcqvcu

The validation of fast-time air traffic simulations in practice

M R Phillips, D T Marsh
2000 Journal of the Operational Research Society  
The first component of an airspace design is the route network.  ...  In terms of validation, the discussion above suggests that the transience of Replay presented a problem.  ... 
doi:10.1057/palgrave.jors.2600882 fatcat:r6zkid7dknhrxbwn3y2ln3k7aq

Computational Air Traffic Management

Marc Anthony Azzopardi, James F. Whidborne
2011 2011 IEEE/AIAA 30th Digital Avionics Systems Conference  
As a result, a new discipline called Computational Air Traffic Management has been defined to address the unique set of challenges presented by the ATM problem, by taking a more objective scientific approach  ...  However, the diverging gap between ATM performance and fundamental requirements indicates the need for a step change.  ...  This is in fact one way of applying path constraints to the problem.  ... 
doi:10.1109/dasc.2011.6095967 fatcat:5kfu6ba5h5g7pdffh7z3ftdjai

Decentralized H∞ control for air traffic flow networks modeled by a class of compartmental systems

Ping Li, James Lam
2010 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics  
In this paper, we study the decentralized H 00 control problem for air traffic flow (ATF) networks.  ...  By di viding the airspace into a number of interconnected regions, we first characterize the traffic flow dynamics by means of a compartmental system approach, and formulate the ATF control problem in  ...  MODEL DESCRIPTION AND PROBLEM FORMULATION Modeling of air traffic flow networks has been an impor tant issue in the air traffic management community, here we present a Eulerian framework to describe unidirectional  ... 
doi:10.1109/isscaa.2010.5632506 fatcat:3ogozpmkrfbtpapm6pd4bwekka

How much is there really? Why stereology is essential in lung morphometry

Ewald R. Weibel, Connie C. W. Hsia, Matthias Ochs
2007 Journal of applied physiology  
Quantitative data on lung structure are essential to set up structure-function models for assessing the functional performance of the lung or to make statistically valid comparisons in experimental morphology  ...  From a practical perspective, stereology is an assumption-free set of methods of unbiased sampling with geometric probes, based on a solid mathematical foundation.  ...  ACKNOWLEDGMENTS We thank Barbara Krieger (Bern) for the preparation of the illustrations.  ... 
doi:10.1152/japplphysiol.00808.2006 pmid:16973815 fatcat:wlpe57hci5a2bg7h6it5ltnlta
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