SENEKA - sensor network with mobile robots for disaster management

Kuntze, H.-B.; Frey, Christian W.; Tchouchenkov, Igor; Staehle, Barbara; Rome, Erich; Pfeiffer, Kai; Wenzel, Andreas; Wöllenstein, Jürgen

doi:10.1109/ths.2012.6459883

Cited by 52 publications

(33 citation statements)

References 9 publications

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“…Small UAVs have entered a large range of applications as their underlying technology has improved and more possibilities for use have been explored. Now, applications such as surveillance, search and rescue, video production, logistics and research are just a small subset of their uses [20]. Their operation in the entertainment domain is rapidly growing as the result versus cost ratio becomes more competitive.…”

Section: Autonomous Uavsmentioning

confidence: 99%

TULIPP: Towards ubiquitous low-power image processing platforms

Kalb

Kalms

Göhringer

et al. 2016

2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)

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Abstract-Many industrial domains rely on vision-based applications which require to comply with severe performance and embedded requirements. TULIPP will develop a reference platform, which consists of a hardware system, a tool chain and a real-time operating system. This platform defines implementation rules and interfaces to tackle power consumption issues while delivering high, energy efficient and guaranteed computing performance for image processing applications. Using this reference platform will enable designers to develop a complete solution at a reduced cost to meet the typical embedded systems requirements: Size, Weight and Power. Moreover, for less constrained systems which performance requirements cannot be fulfilled by one instance of the platform, the reference platform will also be scalable so that the resulting boards can be chained for higher processing power. The instance of the reference platform developed during the project will be use-case driven and split between the implementation of: a reference hardware architecture -a scalable low-power board; a low-power operating system and image processing libraries; a productivityenhancing tool chain. It will lead to three proof-of-concept demonstrators across different application domains: real-time and low-power medical image processing product prototype of surgical X-ray system (mobile c-arm); embedded image processing systems within Unmanned Aerial Vehicles (UAVs); automotive real time embedded systems for driver assistance. TULIPP will set up an ecosystem and will closely work with standardization organizations to propose new standards derived from its reference platform to the industry.

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Section: Autonomous Uavsmentioning

confidence: 99%

TULIPP: Towards ubiquitous low-power image processing platforms

Kalb

Kalms

Göhringer

et al. 2016

2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)

Self Cite

View full text Add to dashboard Cite

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“…Further, a network of UASs is expected to improve the positioning accuracy (Roumeliotis and Bekey 2002) as well as aid those UASs which have lost access to the GNSS signal or are operating under GNSS challenged environments. Also a network of UASs can perform tasks such as search and rescue (Waharte et al 2009, Chung andBurdick 2008), exploration and mapping (Rekleitis et al 2003, Santamario et al), surveillance (Sutton et al 2008, Grocholsky et al 2006, Jones 2009), disaster management and situational awareness (Maza et al 2011, Kuntze et al 2012, exploration of unknown environments (Rekleitis et al 1997, Zheng et al 2005 etc. much more efficiently and much faster as compared to a single UAS.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Uas Localization Using Lowcost Sensors

Goel

Kealy

Lohani

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Networks of small, low cost Unmanned Aerial Systems (UASs) have the potential to improve responsiveness and situational awareness across an increasing number of applications including defense, surveillance, mapping, search and rescue, disaster management, mineral exploration, assisted guidance and navigation etc. These ad hoc UAS networks typically have the capability to communicate with each other and can share data between the individual UAS nodes. Thus these networks can operate as robust and efficient information acquisition platforms. For any of the applications involving UASs, a primary requirement is the localization i.e. determining the position and orientation of the UAS. The performance requirements of localization can vary with individual applications, for example: mapping applications need much higher localization accuracy as compared to the applications involving only surveillance. The sharing of appropriate data between UASs can prove to be advantageous when compared to a single UAS, in terms of improving the positioning accuracy and reliability particularly in partially or completely GNSS denied environments. This research aims to integrate low cost positioning sensors and cooperative localization technique for a network of UASs. Our hypothesis is that it is possible to achieve high accurate, real-time localization of each of the nodes in the network even with cheaper sensors if the nodes of the network share information among themselves. This hypothesis is validated using simulations and the results are analyzed both for centralized and distributed estimation architectures. At first, the results are studied for a two node network which is then expanded for a network containing more number of nodes. Having more nodes in the network allows us to study the properties of the network including the effect of size and shape of the network on accuracy of the nodes.

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“…Gathering information in disaster areas is very important for assessing the situation, avoiding secondary disasters and managing disaster reduction [1]- [7]. However, if a disaster occurs in a congested city, the rescue team cannot gather information because of the complicated urban structure.…”

Section: Introductionmentioning

confidence: 99%

A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes

Koike¹,

Sawai²,

Suzuki³

2014

IJARAI

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Abstract-We propose Robot Wireless Sensor Networks (RWSNs) management method for maintaining wireless communication connectivity for a mobile robot teleoperation with considering a distance between sensor nodes. Recent studies for reducing disaster damage focus on a disaster area information gathering in underground spaces. Since information gathering activities in such post disaster underground spaces present a high risk of personal injury by secondary disasters, a lot of rescue workers were injured or killed in the past. On basis of this background, gathering information by utilizing the mobile robot is discussed in wide area. However, maintaining wireless communication infrastructures for teleoperation of a mobile rescue robot in the post-disaster underground space by various reasons. Therefore we have been discussing the wireless communication infrastructures construction method for teleoperation of the rescue robot by utilizing the RWSN. In this paper, we evaluated the proposed method for changing routing path by utilizing the RWSN in field operation test in order to confirm the availability of performance of communication connectivity and the throughputs between End-to-End communications via constructed network.

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SENEKA - sensor network with mobile robots for disaster management

Cited by 52 publications

References 9 publications

TULIPP: Towards ubiquitous low-power image processing platforms

TULIPP: Towards ubiquitous low-power image processing platforms

Cooperative Uas Localization Using Lowcost Sensors

A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes

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