Unmanned aerial system for post disaster identification

Mukherjee, Amartya; Chakraborty, Sayan; Azar, Ahmad Taher; Bhattacharyay, Soumya Kanti; Chatterjee, Basukinath; Dey, Nilanjan

doi:10.1109/cimca.2014.7057799

Cited by 22 publications

(12 citation statements)

References 18 publications

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“…We distinguish two main categories of communication challenges: (1) issues relating to the establishing and operating of the underlying communication network [118], including ensuring certain topological properties (e.g., maintaining a fully connected network [119], establishing redundancy [61] and avoiding bottlenecks) and (2) matters related to either the data communicated over such networks [118] or the services provided with them [34] (e.g., broadband wireless connectivity [93], wireless sensor network [57] or providing VHF/UHF radio coverage during emergencies [92]). Communication is an important challenge for UAV swarms; we refer to the surveys [30,34] on UAV-based communication (civil use cases) and [33] on UAV communication networks.…”

Section: Communication and Communication Infrastructurementioning

confidence: 99%

“…Communication networks have certain topological requirements (such as e.g., they must be fully connected to the back haul network) and recently a number of creative solutions have been proposed, ranking from Google's solar power drones that are intended to remain airborne for extended periods of time to e.g., the use of High Altitude Balloons (HAB) to relay data traffic and to boost signals [118].…”

Section: Operating a Communication Infrastructurementioning

confidence: 99%

See 1 more Smart Citation

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

198

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The use of UAVs in areas ranging from agriculture over urban services to entertainment or simply as a hobby has rapidly grown over the last years. Regarding serious/commercial applications, UAVs have been considered in the literature, especially as mobile sensing/actuation platforms (i.e., as a delivery platform for an increasingly wide range of sensors and actuators). With regard to timely, cost-effective and very rich data acquisition, both, NEC Research as well as TNO are pursuing investigations into the use of UAVs and swarms of UAVs for scenarios where high-resolution requirements, prohibiting environments or tight time constraints render traditional approaches ineffective. In this review article, we provide a brief overview of safety and security-focused application areas that we identified as main targets for industrial and commercial projects, especially in the context of intelligent autonomous systems and autonomous/semi-autonomously operating swarms. We discuss a number of challenges related to the deployment of UAVs in general and to their deployment within the identified application areas in particular. As such, this article is meant to serve as a review and overview of the literature and the state-of-the-art, but also to offer an outlook over our possible (near-term) future work and the challenges that we will face there.

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Section: Communication and Communication Infrastructurementioning

confidence: 99%

Section: Operating a Communication Infrastructurementioning

confidence: 99%

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

198

View full text Add to dashboard Cite

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“…We used MAVROS to publish the autopilot's/SITL's mavlink data to the network, relay it to GCS (Ground Control Software) and relay the CM's instructions to the autopilot. The Ardupilot SITL (SW in the loop, GPLv3 License, cf., for example, References [55][56][57][58][59]) autopilot software facilitates the simulation of flight operations and enables us to use additional Raspberry Pis to simulate larger swarms.…”

Section: Control Module (Cm)mentioning

confidence: 99%

Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Hildmann

Kovács²,

Saffre

et al. 2019

Drones

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Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at an affordable cost. Due to this, the use of drones for real-time data collection is becoming common practice by individual practitioners in the areas of e.g., precision agriculture and civil defense such as fire fighting. At the same time, as UAVs become a house-hold item, a plethora of issues—which can no longer be ignored and considered niche problems—are coming of age. These range from legal and ethical questions to technical matters such as how to implement and operate a communication infrastructure to maintain control over deployed devices. With these issues being addressed, approaches that focus on enabling collectives of devices to operate semi-autonomously are also increasing in relevance. In this article we present a nature-inspired algorithm that enables a UAV-swarm to operate as a collective which provides real-time data such as video footage. The collective is able to autonomously adapt to changing resolution requirements for specific locations within the area under surveillance. Our distributed approach significantly reduces the requirements on the communication infrastructure and mitigates the computational cost otherwise incurred. In addition, if the UAVs themselves were to be equipped with even rudimentary data-analysis capabilities, the swarm could react in real-time to the data it generates and self-regulate which locations within its operational area it focuses on. The approach was tested in a swarm of 25 UAVs; we present out preliminary performance evaluation.

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“…In said situations, by breaking down the metadata or visual measurements, the ubiquity of given points of interest or perspectives can be evaluated, that can be further abused with the end goal of touristic suggestion. [7] emphasize on the design of an unmanned aerial system for handling of post disaster identification, effectively. Image segmentation is the key process in the domain of image processing.…”

Section: Introductionmentioning

confidence: 99%

Vision Based Geo Navigation Information Retreival

Khan¹,

Li²,

Shaikh³

2016

ijacsa

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Abstract-In order to derive the three-dimensional camera position from the monocular camera vision, a georeference database is needed. Floor plan is a ubiquitous georeference database that every building refers to it during construction and facility maintenance. Comparing with other popular geo-reference database such as geo-tagged photos, the generation, update and maintenance of floor plan database does not require costly and time consuming survey tasks. In vision based methods, the camera needs special attention. In contrast to other sensors, vision sensors typically yield vast information that needs complex strategies to permit use in real-time and on computationally con-strained platforms. This research work show that map-based visual odometer strategy derived from a state-of-the-art structure-from-motion framework is particularly suitable for locally stable, pose controlled flight. Issues concerning drifts and robustness are analyzed and discussed with respect to the original framework. Additionally, various usage of localization algorithm in view of vision has been proposed here. Though, a noteworthy downside with vision-based algorithms is the absence of robustness. The greater parts of the methodologies are delicate to scene varieties (like season or environment changes) because of the way that they utilize the Sum of Squared Differences (SSD). To stop that, we utilize the Mutual Information which is exceptionally vigorous toward global and local scene varieties. On the other hand, dense methodologies are frequently identified with drift drawbacks. Here, attempt to take care of this issue by utilizing geo-referenced pictures. The algorithm of localization has been executed and experimental results are available. Vision sensors possess the potential to extract information about the surrounding environment and determine the locations of features or points of interest. Having mapped out landmarks in an unknown environment, subsequent observations by the vision sensor can in turn be used to resolve position and orientation while continuing to map out new features. In addition, the experimental results of the proposed model also suggest a plausibility proof for feed forward models of delineate recognition in GEO-location.

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Unmanned aerial system for post disaster identification

Cited by 22 publications

References 18 publications

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Vision Based Geo Navigation Information Retreival

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