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Unmanned aerial vehicles

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https://www.readbyqxmd.com/read/28811888/performance-test-and-verification-of-an-off-the-shelf-automated-avian-radar-tracking-system
#1
Roel May, Yngve Steinheim, Pål Kvaløy, Roald Vang, Frank Hanssen
Microwave radar is an important tool for observation of birds in flight and represents a tremendous increase in observation capability in terms of amount of surveillance space that can be covered at relatively low cost. Based on off-the-shelf radar hardware, automated radar tracking systems have been developed for monitoring avian movements. However, radar used as an observation instrument in biological research has its limitations that are important to be aware of when analyzing recorded radar data. This article describes a method for exploring the detection capabilities of a dedicated short-range avian radar system used inside the operational Smøla wind-power plant...
August 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28811519/high-resolution-mapping-based-on-an-unmanned-aerial-vehicle-uav-to-capture-paleoseismic-offsets-along-the-altyn-tagh-fault-china
#2
Mingxing Gao, Xiwei Xu, Yann Klinger, Jerome van der Woerd, Paul Tapponnier
The recent dramatic increase in millimeter- to centimeter- resolution topographic datasets obtained via multi-view photogrammetry raises the possibility of mapping detailed offset geomorphology and constraining the spatial characteristics of active faults. Here, for the first time, we applied this new method to acquire high-resolution imagery and generate topographic data along the Altyn Tagh fault, which is located in a remote high elevation area and shows preserved ancient earthquake surface ruptures. A digital elevation model (DEM) with a resolution of 0...
August 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28805689/visual-servoing-for-an-autonomous-hexarotor-using-a-neural-network-based-pid-controller
#3
Carlos Lopez-Franco, Javier Gomez-Avila, Alma Y Alanis, Nancy Arana-Daniel, Carlos Villaseñor
In recent years, unmanned aerial vehicles (UAVs) have gained significant attention. However, we face two major drawbacks when working with UAVs: high nonlinearities and unknown position in 3D space since it is not provided with on-board sensors that can measure its position with respect to a global coordinate system. In this paper, we present a real-time implementation of a servo control, integrating vision sensors, with a neural proportional integral derivative (PID), in order to develop an hexarotor image based visual servo control (IBVS) that knows the position of the robot by using a velocity vector as a reference to control the hexarotor position...
August 12, 2017: Sensors
https://www.readbyqxmd.com/read/28796184/a-heterogeneous-sensing-system-based-method-for-unmanned-aerial-vehicle-indoor-positioning
#4
Can Wang, Kang Li, Guoyuan Liang, Haoyao Chen, Sheng Huang, Xinyu Wu
The indoor environment has brought new challenges for micro Unmanned Aerial Vehicles (UAVs) in terms of their being able to execute tasks with high positioning accuracy. Conventional positioning methods based on GPS are unreliable, although certain circumstances of limited space make it possible to apply new technologies. In this paper, we propose a novel indoor self-positioning system of UAV based on a heterogeneous sensing system, which integrates data from a structured light scanner, ultra-wideband (UWB), and an inertial navigation system (INS)...
August 10, 2017: Sensors
https://www.readbyqxmd.com/read/28789685/remote-monitoring-of-cardiorespiratory-signals-from-a-hovering-unmanned-aerial-vehicle
#5
Ali Al-Naji, Asanka G Perera, Javaan Chahl
BACKGROUND: Remote physiological measurement might be very useful for biomedical diagnostics and monitoring. This study presents an efficient method for remotely measuring heart rate and respiratory rate from video captured by a hovering unmanned aerial vehicle (UVA). The proposed method estimates heart rate and respiratory rate based on the acquired signals obtained from video-photoplethysmography that are synchronous with cardiorespiratory activity. METHODS: Since the PPG signal is highly affected by the noise variations (illumination variations, subject's motions and camera movement), we have used advanced signal processing techniques, including complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and canonical correlation analysis (CCA) to remove noise under these assumptions...
August 8, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28783100/cloud-assisted-uav-data-collection-for-multiple-emerging-events-in-distributed-wsns
#6
Huiru Cao, Yongxin Liu, Xuejun Yue, Wenjian Zhu
In recent years, UAVs (Unmanned Aerial Vehicles) have been widely applied for data collection and image capture. Specifically, UAVs have been integrated with wireless sensor networks (WSNs) to create data collection platforms with high flexibility. However, most studies in this domain focus on system architecture and UAVs' flight trajectory planning while event-related factors and other important issues are neglected. To address these challenges, we propose a cloud-assisted data gathering strategy for UAV-based WSN in the light of emerging events...
August 7, 2017: Sensors
https://www.readbyqxmd.com/read/28770432/are-estimates-of-wind-characteristics-based-on-measurements-with-pitot-tubes-and-gnss-receivers-mounted-on-consumer-grade-unmanned-aerial-vehicles-applicable-in-meteorological-studies
#7
Tomasz Niedzielski, Carsten Skjøth, Małgorzata Werner, Waldemar Spallek, Matylda Witek, Tymoteusz Sawiński, Anetta Drzeniecka-Osiadacz, Magdalena Korzystka-Muskała, Piotr Muskała, Piotr Modzel, Jakub Guzikowski, Maciej Kryza
The objective of this paper is to empirically show that estimates of wind speed and wind direction based on measurements carried out using the Pitot tubes and GNSS receivers, mounted on consumer-grade unmanned aerial vehicles (UAVs), may accurately approximate true wind parameters. The motivation for the study is that a growing number of commercial and scientific UAV operations may soon become a new source of data on wind speed and wind direction, with unprecedented spatial and temporal resolution. The feasibility study was carried out within an isolated mountain meadow of Polana Izerska located in the Izera Mountains (SW Poland) during an experiment which aimed to compare wind characteristics measured by several instruments: three UAVs (swinglet CAM, eBee, Maja) equipped with the Pitot tubes and GNSS receivers, wind speed and direction meters mounted at 2...
September 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28760496/pigeon-interaction-mode-switch-based-uav-distributed-flocking-control-under-obstacle-environments
#8
Huaxin Qiu, Haibin Duan
Unmanned aerial vehicle (UAV) flocking control is a serious and challenging problem due to local interactions and changing environments. In this paper, a pigeon flocking model and a pigeon coordinated obstacle-avoiding model are proposed based on a behavior that pigeon flocks will switch between hierarchical and egalitarian interaction mode at different flight phases. Owning to the similarity between bird flocks and UAV swarms in essence, a distributed flocking control algorithm based on the proposed pigeon flocking and coordinated obstacle-avoiding models is designed to coordinate a heterogeneous UAV swarm to fly though obstacle environments with few informed individuals...
July 28, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28747109/the-changing-face-of-posttraumatic-stress-disorder-in-modern-warfare
#9
Duncan Wallace, Kristi Heffernan
OBJECTIVES: This study examined aspects of modern warfare and determined whether they have changed the clinical presentation of posttraumatic stress disorder (PTSD). CONCLUSIONS: The relationship between PTSD, mild traumatic brain injury, unmanned aerial vehicle operations and women in combat examined. It was concluded that there are significant changes in how contemporary combat veterans may present with PTSD.
August 2017: Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists
https://www.readbyqxmd.com/read/28743709/biology-goes-in-the-air-unmanned-aerial-vehicles-offer-biologists-an-efficient-tool-for-observation-and-sampling-from-a-safe-distance
#10
Howard Wolinsky
No abstract text is available yet for this article.
July 25, 2017: EMBO Reports
https://www.readbyqxmd.com/read/28727553/flycap-markerless-motion-capture-using-multiple-autonomous-flying-cameras
#11
Lan Xu, Yebin Liu, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, Lu Fang
Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface motions of moving characters using multiple autonomous flying cameras (autonomous unmanned aerial vehicles(UAVs) each integrated with an RGBD video camera). During data capture, three cooperative flying cameras automatically track and follow the moving target who performs large-scale motions in a wide space. We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose of each flying camera...
July 18, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28720569/platelets-as-autonomous-drones-for-hemostatic-and-immune-surveillance
#12
REVIEW
Jackson LiangYao Li, Alexander Zarbock, Andrés Hidalgo
Platelets participate in many important physiological processes, including hemostasis and immunity. However, despite their broad participation in these evolutionarily critical roles, the anucleate platelet is uniquely mammalian. In contrast with the large nucleated equivalents in lower vertebrates, we find that the design template for the evolutionary specialization of platelets shares remarkable similarities with human-engineered unmanned aerial vehicles in terms of overall autonomy, maneuverability, and expendability...
July 18, 2017: Journal of Experimental Medicine
https://www.readbyqxmd.com/read/28718788/implementation-of-an-imu-aided-image-stacking-algorithm-in-a-digital-camera-for-unmanned-aerial-vehicles
#13
Ahmad Audi, Marc Pierrot-Deseilligny, Christophe Meynard, Christian Thom
Images acquired with a long exposure time using a camera embedded on UAVs (Unmanned Aerial Vehicles) exhibit motion blur due to the erratic movements of the UAV. The aim of the present work is to be able to acquire several images with a short exposure time and use an image processing algorithm to produce a stacked image with an equivalent long exposure time. Our method is based on the feature point image registration technique. The algorithm is implemented on the light-weight IGN (Institut national de l'information géographique) camera, which has an IMU (Inertial Measurement Unit) sensor and an SoC (System on Chip)/FPGA (Field-Programmable Gate Array)...
July 18, 2017: Sensors
https://www.readbyqxmd.com/read/28714936/extending-wireless-rechargeable-sensor-network-life-without-full-knowledge
#14
Najeeb W Najeeb, Carrick Detweiler
When extending the life of Wireless Rechargeable Sensor Networks (WRSN), one challenge is charging networks as they grow larger. Overcoming this limitation will render a WRSN more practical and highly adaptable to growth in the real world. Most charging algorithms require a priori full knowledge of sensor nodes' power levels in order to determine the nodes that require charging. In this work, we present a probabilistic algorithm that extends the life of scalable WRSN without a priori power knowledge and without full network exploration...
July 17, 2017: Sensors
https://www.readbyqxmd.com/read/28713402/unmanned-aerial-vehicle-remote-sensing-for-field-based-crop-phenotyping-current-status-and-perspectives
#15
REVIEW
Guijun Yang, Jiangang Liu, Chunjiang Zhao, Zhenhong Li, Yanbo Huang, Haiyang Yu, Bo Xu, Xiaodong Yang, Dongmei Zhu, Xiaoyan Zhang, Ruyang Zhang, Haikuan Feng, Xiaoqing Zhao, Zhenhai Li, Heli Li, Hao Yang
Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28694843/quantifying-pruning-impacts-on-olive-tree-architecture-and-annual-canopy-growth-by-using-uav-based-3d-modelling
#16
F M Jiménez-Brenes, F López-Granados, A I de Castro, J Torres-Sánchez, N Serrano, J M Peña
BACKGROUND: Tree pruning is a costly practice with important implications for crop harvest and nutrition, pest and disease control, soil protection and irrigation strategies. Investigations on tree pruning usually involve tedious on-ground measurements of the primary tree crown dimensions, which also might generate inconsistent results due to the irregular geometry of the trees. As an alternative to intensive field-work, this study shows a innovative procedure based on combining unmanned aerial vehicle (UAV) technology and advanced object-based image analysis (OBIA) methodology for multi-temporal three-dimensional (3D) monitoring of hundreds of olive trees that were pruned with three different strategies (traditional, adapted and mechanical pruning)...
2017: Plant Methods
https://www.readbyqxmd.com/read/28694819/assessment-of-vegetation-indices-derived-by-uav-imagery-for-durum-wheat-phenotyping-under-a-water-limited-and-heat-stressed-mediterranean-environment
#17
Angelos C Kyratzis, Dimitrios P Skarlatos, George C Menexes, Vasileios F Vamvakousis, Andreas Katsiotis
There is growing interest for using Spectral Vegetation Indices (SVI) derived by Unmanned Aerial Vehicle (UAV) imagery as a fast and cost-efficient tool for plant phenotyping. The development of such tools is of paramount importance to continue progress through plant breeding, especially in the Mediterranean basin, where climate change is expected to further increase yield uncertainty. In the present study, Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) and Green Normalized Difference Vegetation Index (GNDVI) derived from UAV imagery were calculated for two consecutive years in a set of twenty durum wheat varieties grown under a water limited and heat stressed environment...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28655333/deworming-of-stray-dogs-and-wild-canines-with-praziquantel-laced-baits-delivered-by-an-unmanned-aerial-vehicle-in-areas-highly-endemic-for-echinococcosis-in-china
#18
Qing Yu, Ning Xiao, Shi-Jie Yang, Shuai Han
BACKGROUND: Canines, the definitive hosts for the parasites causing alveolar (AE) and cystic echinococcosis (CE), are the main source of this infections playing the key role in the transmission. The ten-year mortality rate of AE is extremely high (94%) if the patients are not given sustained treatment. The aim of this field study is to explore the possibility of delivery of praziquantel-laced baits using unmanned aerial vehicles (UAVs) aimed at deworming wild canines in the endemic areas...
June 27, 2017: Infectious Diseases of Poverty
https://www.readbyqxmd.com/read/28649041/determination-of-the-vertical-profile-of-particle-number-concentration-adjacent-to-a-motorway-using-an-unmanned-aerial-vehicle
#19
T F Villa, E R Jayaratne, L F Gonzalez, L Morawska
A quantitative assessment of the vertical profile of traffic pollution, specifically particle number concentration (PNC), in an open space adjacent to a motorway was possible for the first time, to the knowledge of the authors, using an Unmanned Aerial Vehicle (UAV) system. Until now, traffic pollution has only been measured at ground level while the vertical distribution, is limited to studies conducted from buildings or fixed towers and balloons. This new UAV system demonstrated that the PNC sampled during the period form 10 a...
June 22, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28643041/skull-fracture-with-effacement-of-the-superior-sagittal-sinus-following-drone-impact-a-case-report
#20
Lawrance K Chung, Yuri Cheung, Carlito Lagman, Nicholas Au Yong, Duncan Q McBride, Isaac Yang
BACKGROUND: The popularity of unmanned aerial vehicles, or drones, raises safety concerns as they become increasingly common for commercial, personal, and recreational use. Collisions between drones and people may result in serious injuries. CASE REPORT: A 13-year-old male presented with a comminuted depressed skull fracture causing effacement of the superior sagittal sinus secondary to a racing drone impact. The patient experienced a brief loss of consciousness and reported lower extremity numbness and weakness after the accident...
June 22, 2017: Child's Nervous System: ChNS: Official Journal of the International Society for Pediatric Neurosurgery
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