PRE2018 3 Group17/SotA

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Contents

Autonomous drones for assisting rescue services within the context of natural disasters

https://ieeexplore.ieee.org/abstract/document/6929384
This article describes how drones can be used to assist rescue services during a natural disaster.

Autonomous drones for disasters management: Safety and security verifications

https://ieeexplore.ieee.org/abstract/document/7303086
This article describes how the safety and security of usage of drones during operations and flights can be verified.

Help from the Sky: Leveraging UAVs for Disaster Management

https://www.computer.org/csdl/mags/pc/2017/01/mpc2017010024-abs.html
This article presents a vision for future unmanned aerial vehicles (UAV)-assisted disaster management, considering the holistic functions of disaster prediction, assessment, and response.

Unmanned Aerial Vehicles in Response to Natural Disasters

https://www.academia.edu/30915171/Unmanned_Aerial_Vehicles_in_Response_to_Natural_Disasters
This article explores the best usage of emergency drones and tries to provide guidelines to anyone who would like to use UAVs as part of their disaster response activities. Additionally the article points out improvements which could be made in the field of emergency drones.

Drone Applications for Supporting Disaster Management

https://www.researchgate.net/profile/Agoston_Restas/publication/283537233_Drone_Applications_for_Supporting_Disaster_Management/links/5688148e08ae051f9af5b166/Drone-Applications-for-Supporting-Disaster-Management.pdf
This paper evaluates some experiences and describes some initiatives using drones to support disaster management.

Massive MIMO for communications with drone swarms

https://ieeexplore.ieee.org/abstract/document/8214963
The possibility of massive MIMO for communication with drones is illustrated in this article.

Multi-Tier drone architecture for 5G/B5G cellular networks: Challenges, trends, and prospects

https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/8316776
The existing state-of-art innovations in drone networks and drone-assisted cellular networks are reviewed in this article.

Drone-aided communication as a key enabler for 5G and resilient public safety networks

https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/8255735
This article describes the possibilities that the drones could offer in wireless networks. An example that is given in the article is the limited connectivity that drones could offer in a cost-effective way to disaster-struck regions where terrestrial infrastructure might have been damaged.

A decade of research in opportunistic networks : Challenges, relevance, and future directions

https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/7823357
In this article scenarios are described in which the infrastructure is not available, such as during nature disasters.

Spectrum policy challenges of UAV/drones

https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/6940426
In this article the growing interest around drones for military and civil use is described. And the negative consequences of the use of drones are also considered.

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

https://onlinelibrary-wiley-com.dianus.libr.tue.nl/doi/abs/10.1002/net.21818
Drones might lead to cost savings in for example monitoring difficult-to-access infrastructure. In some applications, like disaster management, the drones may help saving lives.

Problems of a trajectory planning in autonomous navigation systems based on technical vision and AI

https://ieeexplore.ieee.org/document/8317265
This article mainly talks about the problems that exist when trying to navigate an environment using just vision and AI, it also attempts to give a solution to this problem. It was chosen on the basis that for the planned autonomous system drones are used to navigate the environment. It is therefore important that these drones can navigate the environment themselves. This article is also useful for the idea that the system can plan a route to the survivors based on the images provides by the drones.

Using Autonomous Air Vehicle in DTN Sensor Network for Environmental Observation

https://ieeexplore.ieee.org/abstract/document/6649861
Geologists programmed a drone to autonomously decide a path to use for the observation of an area's geology. The problem is similar to the observation problem tha needs to be solved for our network.

Drone Empowered Small Cellular Disaster Recovery Networks for Resilient Smart Cities

https://ieeexplore.ieee.org/abstract/document/7746806 This article discusses the use of drones to provide cell phone coverage during small-scale disasters. It uses a network of drones to achieve this goal and discusses optimal placement strategies, which can be used as a starting point for the project at hand.

The progress of operational forest fire monitoring with infrared remote sensing

https://link.springer.com/article/10.1007/s11676-016-0361-8
The article discusses the methods used to observe forest fires using infrared cameras and aerial equipment, including drones. Serves as a good summary of the current state-of-the-art of the use of this technology in forest fires.

Ambulance drones

https://www.tudelft.nl/en/ide/research/research-labs/applied-labs/ambulance-drone/
An invention from the Technical University of Delft that uses drones in a more hands-on manner. It shows that drones are very useful in situations where fast responses are needed where manpower is lacking.

Active fire monitoring and fire danger potential detection from space: A review

https://link.springer.com/article/10.1007/s11707-008-0044-7
This article talks about the monitoring of fires from space, which serves as an alternative solution from the usage of drones. Article mentions shortcomings to this solution, which allows the to-be-designed system to be designed to help fill the information gap left by these shortcomings.

A Disaster Response System based on Human-Agent Collectives

https://jair.org/index.php/jair/article/view/11037
This article gives a proposal for a disaster response system that, when combined with rescue personnel, can improve the effectiveness of the rescue operation. This paper can be used to compare our ideas against an already established. This information can then be used to add functions that are not present yet or to improve on the functions that are present using the new information.

Motion planning with temporal-logic specifications: Progress and challenges

https://content.iospress.com/download/ai-communications/aic682?id=ai-communications%2Faic682
Here the concept of time-sensitive decision-making is central. This is essential in a search-and-rescue mission as quick decision making and optimal strategies are important to save as many lives as possible. This article can then figure out a process to incorporate this time-sensitive decision-making system into our system.

Unblinking eyes: the ethics of automating surveillance

https://link.springer.com/article/10.1007/s10676-012-9291-0
This paper talks about the problems that occur when automated surveillance becomes the norm. This might not seem that relevant for our situation, but if one would consider that a search-and-rescue robot that can search for people is the fact that it could also be implemented into general surveillance systems. This could then mean that everyone could be surveilled at any time, combined with the detection of people this could cause an enormous breach in privacy if it were implemented. Careful considerations should be made to prevent this from happening as this could potentially cause a "Big-Brother" type scenario if it were to come to fruition.

Ethical Aspects of Facial Recognition Systems in Public Places

https://www.emeraldinsight.com/doi/pdfplus/10.1108/14779960480000246
Here the idea of facial recognition incorporated in surveillance systems is discussed. This relates back to a previous point about automated surveillance and the prevention of a "Big Brother" scenario. The system used to find people after a natural disaster should never have access to facial recognition, it should only need general recognition of a human to be succesful. If facial recognition were to be added, this would then make it easier to implement this idea into surveillance systems, which is precisely what should be avoided.

Brief analysis of drone swarms communication

https://ieeexplore.ieee.org/document/8278390
This article on optimisation of "many to many" communication, presenting scalable approaches for large drone swarms.

A cloud based autonomous multipurpose system with self-communicating bots and swarm of drones

https://ieeexplore.ieee.org/document/8301781
This article proposes a approach for an aerial drone swarm with many relatively cheap and simple drones with varying tasks and one master drone which controls the swarm and gathers data. This eliminates the need for control from ground level. Suggested applications are in disaster areas like floods and landslides, an in agricultural settings.

Flood-survivors detection using IR imagery on an autonomous drone

https://pdfs.semanticscholar.org/048c/3193942a9fa6aa416b669b9a3dc72167ab2b.pdf
This article introduces an approach to find flood-survivors automatically by employing aerial drones with infrared cameras.

Automatic wireless drone charging station creating essential environment for continuous drone operation

https://ieeexplore.ieee.org/document/7822448
This article proposes a method for wireless charging of drone, specifically quadcopter, batteries for extended or continuous operation time. The article focusses on a landing pad which charges drones by induction, but also considers several other methods such as lasers and solar power.

Post-disaster rescue facility: Human detection and geolocation using aerial drones

https://ieeexplore.ieee.org/document/7848026
This article discusses the implementation of an automated human detection and geolocation system using aerial drones. It considers the use of thermal and optical imagery and minimisation of false positives. It also shows how GPS data can be used effectively.

References

1. Apvrille, L.; Tanzi, T.; Dugelay, J.L.(2014). Autonomous drones for assisting rescue services within the context of natural disasters. URSI General Assembly and Scientific Symposium (URSI GASS).https://ieeexplore.ieee.org/abstract/document/6929384
2. Apvrille, L.; Roudier, Y.; Tanzi, T.J. (2015). Autonomous drones for disasters management: Safety and security verifications. First URSI Atlantic Radio Science Conference (URSI AT-RASC).https://ieeexplore.ieee.org/abstract/document/7303086
3. Erdelj, M.; Natalizio, E. ; Chowdhury, K. R.; Akyildiz, I. F. (2017). Help from the sky: Leveraging UAVs for disaster management. IEEE Pervasive Computing, Volume 16, pp.24-32. https://www.computer.org/csdl/mags/pc/2017/01/mpc2017010024-abs.html
4. Duverneuil, B. (2016). Unmanned aerial vehicles in response to natural disasters. Academia Journal of Scientific Research. https://www.academia.edu/30915171/Unmanned_Aerial_Vehicles_in_Response_to_Natural_Disasters
5. Restas, A. (2015). Drone applications for supporting disaster management. World Journal of Engineering and Technology, Volume 3, pp. 316-321. https://www.researchgate.net/profile/Agoston_Restas/publication/283537233_Drone_Applications_for_Supporting_Disaster_Management/links/5688148e08ae051f9af5b166/Drone-Applications-for-Supporting-Disaster-Management.pdf
6. Chandhar, P.; Danev, D. ; Larsson, E. (2018). Massive MIMO for communications with drone swarms. IEEE Transactions on wireless communications, Volume 17, issue 3, pp. 1604-1629. https://ieeexplore.ieee.org/abstract/document/8214963
7.Sekander, S.; Tabassum, H.; Hossain, E. (2018). Multi-Tier drone architecture for 5G/B5G cellular networks: Challenges, Trends, and Prospects. IEEE communications magazine, Volume 56, issue 3, pp. 96-103. https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/8316776
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10. Marcus, M.J. (2014). Spectrum policy challenges of UAV/drones [Spectrum Policy and Regulatory Issues]. IEEE wireless communications, Volume 21, issue 5, pp. 8-9. https://ieeexplore-ieee-org.dianus.libr.tue.nl/document/6940426
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13.Ha, P.T.T. ; Yamamoto, H. ; Yamazaki, K. (2013). Using autonomous air vehicle in DTN sensor network for environmental observation. 2013 IEEE 37th Annual computer software and applications conference. https://ieeexplore.ieee.org/abstract/document/6649861
14. Hayajneh , A.M. ; Zaidi, S.A.R.; McLernon, D.C. ; Ghogho, M. (2016). Drone empowered small cellular disaster recovery networks for resilient smart cities. 2016 IEEE International conference on sensing, communication and networking (SECON Workshops). https://ieeexplore.ieee.org/abstract/document/7746806
15. Hua, L.; Shao, G. (2017). The progress of operational forest fire monitoring with infrared remote sensing. Journal of Forestry Research, Volume 28, issue 2, pp. 215-229. https://link.springer.com/article/10.1007/s11676-016-0361-8
16. Momont, A. ; Ambulance Drones. TU Delft, https://www.tudelft.nl/en/ide/research/research-labs/applied-labs/ambulance-drone/
17.Qu, J.J. ; Wang, W. ; Dasgupta, S. ; Hao, X. (2008). Active fire monitoring and fire danger potential detection from space: A review. Frontiers of earth science in China. https://link.springer.com/article/10.1007/s11707-008-0044-7
18. Ramchurn, S.D. ;Huynh, T.D.; Wu, F.; Ikuno, Y.; Flann, J.; Moreau, L.; Fischer, J.E.; Jiang, W.; Rodden, T. ; Simpson, E.; Reece, S. ; Roberts, S. ; Jennings, N.R.(2016). A disaster response system based on human-agent collectives. Journal of artificial intelligence research, Volume 57. https://jair.org/index.php/jair/article/view/11037
19. Plaku, Erion, Karaman, Sertac (2016). Motion planning with temporal-logic specifications: progress and challenges. AI communications, Volume 29, no. 1, pp. 151-162. https://content.iospress.com/download/ai-communications/aic682?id=ai-communications%2Faic682
20.Macnish, K. (2012). Unblinking eyes: the ethics of automating surveillance. Ethics and Information technology, Volume 14, issue 2, pp. 151-167. https://link.springer.com/article/10.1007/s10676-012-9291-0
21.Brey, P. (2004). Ethical aspects of facial recognition systems in public places. Journal of information, communication and ethics in society, volume 2, issue 2, pp. 97-109. https://doi.org/10.1108/14779960480000246
22. Cui, Q.; Liu, P.; Wang, J. , Yu, J. (2017). Brief analysis of drone swarms communication. IEEE international conference on unmanned systems (ICUS). https://ieeexplore.ieee.org/document/8278390
23. Maity, T. ; Biswas, S.; Mitra, T.; Roy, N.; Pal, D. ; Nandy, A.; Dey, R.; Auddy, S.; Basu, S.; Pal, S.K.; Das, N.K.; Saha, H.N.(2018). A cloud based autonomous multipurpose system with self-communicating bots and swarm of drones. 2018 IEEE 8th Annual computing and communication workshop and conference (CCWC). https://ieeexplore.ieee.org/document/8301781.
24.Sharma, S. (2016). Flood-survivors detection using IR imagery on an autonomous drone. Stanford University.
25.Choi, C.H.; Jang, H.J.; Lim, S.G.; Cho, S.H. , Gaponov, I. (2017). Automatic wireless drone charging station creating essential environment for continuous drone operation. 2016 International conference on control, automation and information sciences (ICCAIS). https://ieeexplore.ieee.org/document/7822448
26. Oppus, C.M.; Marinas, J.A.G. ; Monje, J.C.N.; Villalobos, A.D.C.; Rivera, A.J.A. (2016). Post-disaster rescue facility: Human detection and geolocation using aerial drones. 2016 IEEE Region 10 Conference (TENCON). https://ieeexplore.ieee.org/document/7848026

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