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https://www.readbyqxmd.com/read/29659526/improved-seam-line-searching-algorithm-for-uav-image-mosaic-with-optical-flow
#1
Weilong Zhang, Bingxuan Guo, Ming Li, Xuan Liao, Wenzhuo Li
Ghosting and seams are two major challenges in creating unmanned aerial vehicle (UAV) image mosaic. In response to these problems, this paper proposes an improved method for UAV image seam-line searching. First, an image matching algorithm is used to extract and match the features of adjacent images, so that they can be transformed into the same coordinate system. Then, the gray scale difference, the gradient minimum, and the optical flow value of pixels in adjacent image overlapped area in a neighborhood are calculated, which can be applied to creating an energy function for seam-line searching...
April 16, 2018: Sensors
https://www.readbyqxmd.com/read/29650982/a-hyphenated-preconcentrator-infrared-hollow-waveguide-sensor-system-for-n-2-o-sensing
#2
João Flavio da Silveira Petruci, Andreas Wilk, Arnaldo Alves Cardoso, Boris Mizaikoff
Following the Kyoto protocol, all signatory countries must provide an annual inventory of greenhouse-gas emission including N2 O. This fact associated with the wide variety of sources for N2 O emissions requires appropriate sensor technologies facilitating in-situ monitoring, compact dimensions, ease of operation, and sufficient sensitivity for addressing such emission scenarios. In this contribution, we therefore describe an innovative portable mid-infrared chemical sensor system for quantifying gaseous N2 O via coupling a substrate-integrated hollow waveguide (iHWG) simultaneously serving as highly miniaturized mid-infrared photon conduit and gas cell to a custom-made preconcentrator...
April 12, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29581404/inferring-the-rules-of-social-interaction-in-migrating-caribou
#3
Colin J Torney, Myles Lamont, Leon Debell, Ryan J Angohiatok, Lisa-Marie Leclerc, Andrew M Berdahl
Social interactions are a significant factor that influence the decision-making of species ranging from humans to bacteria. In the context of animal migration, social interactions may lead to improved decision-making, greater ability to respond to environmental cues, and the cultural transmission of optimal routes. Despite their significance, the precise nature of social interactions in migrating species remains largely unknown. Here we deploy unmanned aerial systems to collect aerial footage of caribou as they undertake their migration from Victoria Island to mainland Canada...
May 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/29542096/remotely-piloted-life-saving-effort-vehicles-and-emergency-management-an-analysis-on-revolutionizing-humanitarian-assistance-in-pakistan
#4
Ali Bin Nadeem, Ysa Chandna
The majority of the Pakistani public has known little of the unmanned aerial vehicles, also known for their onomatopoeically inspired name "drones," except the fact that it regularly rains Hellfire missiles in Pakistan, claiming the lives of many innocent Pakistanis settled in the western provinces. In actuality, in addition to their destructive capacities, these remotely piloted vehicles have been used since the turn of the century in a variety of live-saving and risk-reducing roles. This research article primarily addresses the third stage of Emergency management-response, with Pakistan being the primary region of research...
January 2018: Journal of Emergency Management: JEM
https://www.readbyqxmd.com/read/29527066/evaluating-the-potential-of-unmanned-aerial-systems-for-mapping-weeds-at-field-scales-a-case-study-with-alopecurus-myosuroides
#5
J P T Lambert, H L Hicks, D Z Childs, R P Freckleton
Mapping weed densities within crops has conventionally been achieved either by detailed ecological monitoring or by field walking, both of which are time-consuming and expensive. Recent advances have resulted in increased interest in using Unmanned Aerial Systems (UAS) to map fields, aiming to reduce labour costs and increase the spatial extent of coverage. However, adoption of this technology ideally requires that mapping can be undertaken automatically and without the need for extensive ground-truthing. This approach has not been validated at large scale using UAS-derived imagery in combination with extensive ground-truth data...
February 2018: Weed Research
https://www.readbyqxmd.com/read/29523753/prospective-use-of-unmanned-aerial-vehicles-for-military-medical-evacuation-in-future-conflicts
#6
EDITORIAL
Charles Handford, F Reeves, P Parker
In order to continue to deliver outstanding medical care on the battlefield, the UK Defence Medical Services must continue to adapt, overcome and actively embrace change. One potential area is the rapid proliferation and sophistication of automated and remote systems such as unmanned aerial vehicles (UAVs). UAVs are already used to deliver blood to remote military locations in Afghanistan and defibrillators to those that need them in the USA and Sweden. An area of future opportunity would be to facilitate rapid evacuation of wounded personnel from high intensity, high threat, remote and austere areas directly to specialist care...
March 9, 2018: Journal of the Royal Army Medical Corps
https://www.readbyqxmd.com/read/29503725/close-range-laser-scanning-in-forests-towards-physically-based-semantics-across-scales
#7
F Morsdorf, D Kükenbrink, F D Schneider, M Abegg, M E Schaepman
Laser scanning with its unique measurement concept holds the potential to revolutionize the way we assess and quantify three-dimensional vegetation structure. Modern laser systems used at close range, be it on terrestrial, mobile or unmanned aerial platforms, provide dense and accurate three-dimensional data whose information just waits to be harvested. However, the transformation of such data to information is not as straightforward as for airborne and space-borne approaches, where typically empirical models are built using ground truth of target variables...
April 6, 2018: Interface Focus
https://www.readbyqxmd.com/read/29495504/saliency-detection-and-deep-learning-based-wildfire-identification-in-uav-imagery
#8
Yi Zhao, Jiale Ma, Xiaohui Li, Jie Zhang
An unmanned aerial vehicle (UAV) equipped with global positioning systems (GPS) can provide direct georeferenced imagery, mapping an area with high resolution. So far, the major difficulty in wildfire image classification is the lack of unified identification marks, the fire features of color, shape, texture (smoke, flame, or both) and background can vary significantly from one scene to another. Deep learning (e.g., DCNN for Deep Convolutional Neural Network) is very effective in high-level feature learning, however, a substantial amount of training images dataset is obligatory in optimizing its weights value and coefficients...
February 27, 2018: Sensors
https://www.readbyqxmd.com/read/29461496/online-aerial-terrain-mapping-for-ground-robot-navigation
#9
John Peterson, Haseeb Chaudhry, Karim Abdelatty, John Bird, Kevin Kochersberger
This work presents a collaborative unmanned aerial and ground vehicle system which utilizes the aerial vehicle's overhead view to inform the ground vehicle's path planning in real time. The aerial vehicle acquires imagery which is assembled into a orthomosaic and then classified. These terrain classes are used to estimate relative navigation costs for the ground vehicle so energy-efficient paths may be generated and then executed. The two vehicles are registered in a common coordinate frame using a real-time kinematic global positioning system (RTK GPS) and all image processing is performed onboard the unmanned aerial vehicle, which minimizes the data exchanged between the vehicles...
February 20, 2018: Sensors
https://www.readbyqxmd.com/read/29439496/uav-assisted-dynamic-clustering-of-wireless-sensor-networks-for-crop-health-monitoring
#10
Mohammad Ammad Uddin, Ali Mansour, Denis Le Jeune, Mohammad Ayaz, El-Hadi M Aggoune
In this study, a crop health monitoring system is developed by using state of the art technologies including wireless sensors and Unmanned Aerial Vehicles (UAVs). Conventionally data is collected from sensor nodes either by fixed base stations or mobile sinks. Mobile sinks are considered a better choice nowadays due to their improved network coverage and energy utilization. Usually, the mobile sink is used in two ways: either it goes for random walk to find the scattered nodes and collect data, or follows a pre-defined path established by the ground network/clusters...
February 11, 2018: Sensors
https://www.readbyqxmd.com/read/29439447/sensor-oriented-path-planning-for-multiregion-surveillance-with-a-single-lightweight-uav-sar
#11
Jincheng Li, Jie Chen, Pengbo Wang, Chunsheng Li
In the surveillance of interested regions by unmanned aerial vehicle (UAV), system performance relies greatly on the motion control strategy of the UAV and the operation characteristics of the onboard sensors. This paper investigates the 2D path planning problem for the lightweight UAV synthetic aperture radar (SAR) system in an environment of multiple regions of interest (ROIs), the sizes of which are comparable to the radar swath width. Taking into account the special requirements of the SAR system on the motion of the platform, we model path planning for UAV SAR as a constrained multiobjective optimization problem (MOP)...
February 11, 2018: Sensors
https://www.readbyqxmd.com/read/29375801/evaluating-behavioral-responses-of-nesting-lesser-snow-geese-to-unmanned-aircraft-surveys
#12
Andrew Barnas, Robert Newman, Christopher J Felege, Michael P Corcoran, Samuel D Hervey, Tanner J Stechmann, Robert F Rockwell, Susan N Ellis-Felege
Unmanned aircraft systems (UAS) are relatively new technologies gaining popularity among wildlife biologists. As with any new tool in wildlife science, operating protocols must be developed through rigorous protocol testing. Few studies have been conducted that quantify the impacts UAS may have on unhabituated individuals in the wild using standard aerial survey protocols. We evaluated impacts of unmanned surveys by measuring UAS-induced behavioral responses during the nesting phase of lesser snow geese (Anser caerulescens caerulescens) in Wapusk National Park, Manitoba, Canada...
January 2018: Ecology and Evolution
https://www.readbyqxmd.com/read/29370203/modelling-multi-rotor-uavs-swarm-deployment-using-virtual-pheromones
#13
Fidel Aznar, Mar Pujol, Ramón Rizo, Carlos Rizo
In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be presented. The main contribution of this behaviour is the use of a virtual device for quantitative sematectonic stigmergy providing more adaptable behaviours in complex environments. It is a fault tolerant highly robust behaviour that does not require prior information of the area to be covered, or to assume the existence of any kind of information signals (GPS, mobile communication networks …), taking into account the specific features of UAVs...
2018: PloS One
https://www.readbyqxmd.com/read/29342832/development-of-an-internal-real-time-wireless-diagnostic-tool-for-a-proton-exchange-membrane-fuel-cell
#14
Chi-Yuan Lee, Chia-Hung Chen, Chao-Hsuan Tsai, Yu-Syuan Wang
To prolong the operating time of unmanned aerial vehicles which use proton exchange membrane fuel cells (PEMFC), the performance of PEMFC is the key. However, a long-term operation can make the Pt particles of the catalyst layer and the pollutants in the feedstock gas bond together (e.g., CO), so that the catalyst loses reaction activity. The performance decay and aging of PEMFC will be influenced by operating conditions, temperature, flow and CO concentration. Therefore, this study proposes the development of an internal real-time wireless diagnostic tool for PEMFC, and uses micro-electro-mechanical systems (MEMS) technology to develop a wireless and thin (<50 μm) flexible integrated (temperature, flow and CO) microsensor...
January 13, 2018: Sensors
https://www.readbyqxmd.com/read/29329657/the-development-and-trial-of-an-unmanned-aerial-system-for-the-measurement-of-methane-flux-from-landfill-and-greenhouse-gas-emission-hotspots
#15
Grant Allen, Peter Hollingsworth, Khristopher Kabbabe, Joseph R Pitt, Mohammed I Mead, Samuel Illingworth, Gareth Roberts, Mark Bourn, Dudley E Shallcross, Carl J Percival
This paper describes the development of a new sampling and measurement method to infer methane flux using proxy measurements of CO2 concentration and wind data recorded by Unmanned Aerial Systems (UAS). The flux method described and trialed here is appropriate to the spatial scale of landfill sites and analogous greenhouse gas emission hotspots, making it an important new method for low-cost and rapid case study quantification of fluxes from currently uncertain (but highly important) greenhouse gas sources...
January 9, 2018: Waste Management
https://www.readbyqxmd.com/read/29315256/a-novel-attitude-determination-system-aided-by-polarization-sensor
#16
Wei Zhi, Jinkui Chu, Jinshan Li, Yinlong Wang
This paper aims to develop a novel attitude determination system aided by polarization sensor. An improved heading angle function is derived using the perpendicular relationship between directions of E-vector of linearly polarized light and solar vector in the atmospheric polarization distribution model. The Extended Kalman filter (EKF) with quaternion differential equation as a dynamic model is applied to fuse the data from sensors. The covariance functions of filter process and measurement noises are deduced in detail...
January 9, 2018: Sensors
https://www.readbyqxmd.com/read/29301211/3d-indoor-positioning-of-uavs-with-spread-spectrum-ultrasound-and-time-of-flight-cameras
#17
José A Paredes, Fernando J Álvarez, Teodoro Aguilera, José M Villadangos
This work proposes the use of a hybrid acoustic and optical indoor positioning system for the accurate 3D positioning of Unmanned Aerial Vehicles (UAVs). The acoustic module of this system is based on a Time-Code Division Multiple Access (T-CDMA) scheme, where the sequential emission of five spread spectrum ultrasonic codes is performed to compute the horizontal vehicle position following a 2D multilateration procedure. The optical module is based on a Time-Of-Flight (TOF) camera that provides an initial estimation for the vehicle height...
December 30, 2017: Sensors
https://www.readbyqxmd.com/read/29280984/towards-the-use-of-unmanned-aerial-systems-for-providing-sustainable-services-in-smart-cities
#18
Enrique Moguel, José M Conejero, Fernando Sánchez-Figueroa, Juan Hernández, Juan C Preciado, Roberto Rodríguez-Echeverría
Sustainability is at the heart of many application fields where the use of Unmanned Aerial Systems (UAS) is becoming more and more important (e.g., agriculture, fire detection and prediction, environmental surveillance, mapping, etc.). However, their usage and evolution are highly conditioned by the specific application field they are designed for, and thus, they cannot be easily reused among different application fields. From this point of view, being that they are not multipurpose, we can say that they are not fully sustainable...
December 27, 2017: Sensors
https://www.readbyqxmd.com/read/29280970/background-registration-based-adaptive-noise-filtering-of-lwir-mwir-imaging-sensors-for-uav-applications
#19
Byeong Hak Kim, Min Young Kim, You Seong Chae
Unmanned aerial vehicles (UAVs) are equipped with optical systems including an infrared (IR) camera such as electro-optical IR (EO/IR), target acquisition and designation sights (TADS), or forward looking IR (FLIR). However, images obtained from IR cameras are subject to noise such as dead pixels, lines, and fixed pattern noise. Nonuniformity correction (NUC) is a widely employed method to reduce noise in IR images, but it has limitations in removing noise that occurs during operation. Methods have been proposed to overcome the limitations of the NUC method, such as two-point correction (TPC) and scene-based NUC (SBNUC)...
December 27, 2017: Sensors
https://www.readbyqxmd.com/read/29258211/vision-based-target-finding-and-inspection-of-a-ground-target-using-a-multirotor-uav-system
#20
Ajmal Hinas, Jonathan M Roberts, Felipe Gonzalez
In this paper, a system that uses an algorithm for target detection and navigation and a multirotor Unmanned Aerial Vehicle (UAV) for finding a ground target and inspecting it closely is presented. The system can also be used for accurate and safe delivery of payloads or spot spraying applications in site-specific crop management. A downward-looking camera attached to a multirotor is used to find the target on the ground. The UAV descends to the target and hovers above the target for a few seconds to inspect the target...
December 17, 2017: Sensors
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