Read by QxMD icon Read

unmanned aerial vehicle

Zohaib Khan, Vahid Rahimi-Eichi, Stephan Haefele, Trevor Garnett, Stanley J Miklavcic
Background: Unmanned aerial vehicles offer the opportunity for precision agriculture to efficiently monitor agricultural land. A vegetation index (VI) derived from an aerially observed multispectral image (MSI) can quantify crop health, moisture and nutrient content. However, due to the high cost of multispectral sensors, alternate, low-cost solutions have lately received great interest. We present a novel method for model-based estimation of a VI using RGB color images. The non-linear spatio-spectral relationship between the RGB image of vegetation and the index computed by its corresponding MSI is learned through deep neural networks...
2018: Plant Methods
He Luo, Zhengzheng Liang, Moning Zhu, Xiaoxuan Hu, Guoqiang Wang
Wind has a significant effect on the control of fixed-wing unmanned aerial vehicles (UAVs), resulting in changes in their ground speed and direction, which has an important influence on the results of integrated optimization of UAV task allocation and path planning. The objective of this integrated optimization problem changes from minimizing flight distance to minimizing flight time. In this study, the Euclidean distance between any two targets is expanded to the Dubins path length, considering the minimum turning radius of fixed-wing UAVs...
2018: PloS One
Duona Zhang, Wenrui Ding, Baochang Zhang, Chunyu Xie, Hongguang Li, Chunhui Liu, Jungong Han
Deep learning has recently attracted much attention due to its excellent performance in processing audio, image, and video data. However, few studies are devoted to the field of automatic modulation classification (AMC). It is one of the most well-known research topics in communication signal recognition and remains challenging for traditional methods due to complex disturbance from other sources. This paper proposes a heterogeneous deep model fusion (HDMF) method to solve the problem in a unified framework...
March 20, 2018: Sensors
Tsung-Ching Lin, Liming Hou, Hongqing Liu, Yong Li, Trieu-Kien Truong
The problem of blind image recovery using multiple blurry images of the same scene is addressed in this paper. To perform blind deconvolution, which is also called blind image recovery, the blur kernel and image are represented by groups of sparse domains to exploit the local and nonlocal information such that a novel joint deblurring approach is conceived. In the proposed approach, the group sparse regularization on both the blur kernel and image is provided, where the sparse solution is promoted by -norm...
June 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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
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
Maria Gabrielsen Jumbert
The matter of boat migrants crossing the Mediterranean Sea, seeking to reach Europe, is interchangeably defined as a 'security issue', requiring stricter border controls, and as a humanitarian issue with corresponding rescue and protection requirements. This paper seeks to understand what role various surveillance technologies, such as radar, satellites, and unmanned aerial vehicles, can play in this respect (legally and technically), in comparison to the role that they are assigned (that is, political expectations)...
March 5, 2018: Disasters
Sabina Roşca, Juha Suomalainen, Harm Bartholomeus, Martin Herold
Terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAVs) equipped with digital cameras have attracted much attention from the forestry community as potential tools for forest inventories and forest monitoring. This research fills a knowledge gap about the viability and dissimilarities of using these technologies for measuring the top of canopy structure in tropical forests. In an empirical study with data acquired in a Guyanese tropical forest, we assessed the differences between top of canopy models (TCMs) derived from TLS measurements and from UAV imagery, processed using structure from motion...
April 6, 2018: Interface Focus
Alex Borowicz, Philip McDowall, Casey Youngflesh, Thomas Sayre-McCord, Gemma Clucas, Rachael Herman, Steven Forrest, Melissa Rider, Mathew Schwaller, Tom Hart, Stéphanie Jenouvrier, Michael J Polito, Hanumant Singh, Heather J Lynch
Despite concerted international effort to track and interpret shifts in the abundance and distribution of Adélie penguins, large populations continue to be identified. Here we report on a major hotspot of Adélie penguin abundance identified in the Danger Islands off the northern tip of the Antarctic Peninsula (AP). We present the first complete census of Pygoscelis spp. penguins in the Danger Islands, estimated from a multi-modal survey consisting of direct ground counts and computer-automated counts of unmanned aerial vehicle (UAV) imagery...
March 2, 2018: Scientific Reports
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
Kunj Bhatt, Ali Pourmand, Neal Sikka
INTRODUCTION: Advances in technology have revolutionized the medical field and changed the way healthcare is delivered. Unmanned aerial vehicles (UAVs) are the next wave of technological advancements that have the potential to make a huge splash in clinical medicine. UAVs, originally developed for military use, are making their way into the public and private sector. Because they can be flown autonomously and can reach almost any geographical location, the significance of UAVs are becoming increasingly apparent in the medical field...
February 28, 2018: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
David B Resnik, Kevin C Elliott
Researchers have used drones to track wildlife populations, monitor forest fires, map glaciers, and measure air pollution but have only begun to consider how to use these unmanned aerial vehicles to study human beings. The potential use of drones to study public gatherings or other human activities raises novel issues of privacy, confidentiality, and consent, which this article explores in depth. It argues that drone research could fall into several different categories: non-human subjects research (HSR), exempt HSR, or non-exempt HSR...
February 27, 2018: Science and Engineering Ethics
Alexander Hart, Peter R Chai, Matthew K Griswold, Jeffrey T Lai, Edward W Boyer, John Broach
OBJECTIVE: This study seeks to understand the acceptability and perceived utility of unmanned aerial vehicle (UAV) technology to Mass Casualty Incidents (MCI) scene management. DESIGN: Qualitative questionnaires regarding the ease of operation, perceived usefulness, and training time to operate UAVs were administered to Emergency Medical Technicians (n = 15). SETTING: A Single Urban New England Academic Tertiary Care Medical Center. PARTICIPANTS: Front-line emergency medical service (EMS) providers and senior EMS personnel in Incident Commander roles...
October 2017: American Journal of Disaster Medicine
Juan Sandino, Felipe Gonzalez, Kerrie Mengersen, Kevin J Gaston
The monitoring of invasive grasses and vegetation in remote areas is challenging, costly, and on the ground sometimes dangerous. Satellite and manned aircraft surveys can assist but their use may be limited due to the ground sampling resolution or cloud cover. Straightforward and accurate surveillance methods are needed to quantify rates of grass invasion, offer appropriate vegetation tracking reports, and apply optimal control methods. This paper presents a pipeline process to detect and generate a pixel-wise segmentation of invasive grasses, using buffel grass (Cenchrus ciliaris) and spinifex (Triodia sp...
February 16, 2018: Sensors
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
Mario C M M Souza, Andrew Grieco, Newton C Frateschi, Yeshaiahu Fainman
Miniaturized integrated spectrometers will have unprecedented impact on applications ranging from unmanned aerial vehicles to mobile phones, and silicon photonics promises to deliver compact, cost-effective devices. Mirroring its ubiquitous free-space counterpart, a silicon photonics-based Fourier transform spectrometer (Si-FTS) can bring broadband operation and fine resolution to the chip scale. Here we present the modeling and experimental demonstration of a thermally tuned Si-FTS accounting for dispersion, thermo-optic non-linearity, and thermal expansion...
February 14, 2018: Nature Communications
José Manuel Fernández-Guisuraga, Enoc Sanz-Ablanedo, Susana Suárez-Seoane, Leonor Calvo
This study evaluated the opportunities and challenges of using drones to obtain multispectral orthomosaics at ultra-high resolution that could be useful for monitoring large and heterogeneous burned areas. We conducted a survey using an octocopter equipped with a Parrot SEQUOIA multispectral camera in a 3000 ha framework located within the perimeter of a megafire in Spain. We assessed the quality of both the camera raw imagery and the multispectral orthomosaic obtained, as well as the required processing capability...
February 14, 2018: Sensors
Joshuah K Stolaroff, Constantine Samaras, Emma R O'Neill, Alia Lubers, Alexandra S Mitchell, Daniel Ceperley
The use of automated, unmanned aerial vehicles (drones) to deliver commercial packages is poised to become a new industry, significantly shifting energy use in the freight sector. Here we find the current practical range of multi-copters to be about 4 km with current battery technology, requiring a new network of urban warehouses or waystations as support. We show that, although drones consume less energy per package-km than delivery trucks, the additional warehouse energy required and the longer distances traveled by drones per package greatly increase the life-cycle impacts...
February 13, 2018: Nature Communications
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
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
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"