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https://www.readbyqxmd.com/read/28813023/accuracy-of-flight-altitude-measured-with-low-cost-gnss-radar-and-barometer-sensors-implications-for-airborne-radiometric-surveys
#1
Matteo Albéri, Marica Baldoncini, Carlo Bottardi, Enrico Chiarelli, Giovanni Fiorentini, Kassandra Giulia Cristina Raptis, Eugenio Realini, Mirko Reguzzoni, Lorenzo Rossi, Daniele Sampietro, Virginia Strati, Fabio Mantovani
Flight height is a fundamental parameter for correcting the gamma signal produced by terrestrial radionuclides measured during airborne surveys. The frontiers of radiometric measurements with UAV require light and accurate altimeters flying at some 10 m from the ground. We equipped an aircraft with seven altimetric sensors (three low-cost GNSS receivers, one inertial measurement unit, one radar altimeter and two barometers) and analyzed ~3 h of data collected over the sea in the (35-2194) m altitude range. At low altitudes (H < 70 m) radar and barometric altimeters provide the best performances, while GNSS data are used only for barometer calibration as they are affected by a large noise due to the multipath from the sea...
August 16, 2017: Sensors
https://www.readbyqxmd.com/read/28811888/performance-test-and-verification-of-an-off-the-shelf-automated-avian-radar-tracking-system
#2
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
#3
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
#4
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/28805011/bicuspid-and-unicuspid-aortic-valves-different-phenotypes-of-the-same-disease-insight-from-the-gentac-registry
#5
Joseph M Krepp, Mary J Roman, Richard B Devereux, Adrienne Bruce, Siddharth K Prakash, Shaine A Morris, Dianna M Milewicz, Kathryn W Holmes, William Ravekes, Ralph V Shohet, Reed E Pyeritz, Cheryl L Maslen, Barbara L Kroner, Kim A Eagle, Liliana Preiss, Federico M Asch
BACKGROUND: Unicuspid aortic valve (UAV) is a rare disorder, often difficult to distinguish from bicuspid aortic valve (BAV). BAV and UAV share valve pathology such as the presence of a raphe, leaflet fusion, aortic stenosis, aortic regurgitation, and/or ascending aortic dilatation, but a comprehensive echocardiographic comparison of patients with UAV and BAV has not been previously performed. METHODS: We investigated UAV and BAV patients at an early stage of disease included in GenTAC, a national registry of genetically related aortic aneurysms and associated cardiac conditions...
August 14, 2017: Congenital Heart Disease
https://www.readbyqxmd.com/read/28796184/a-heterogeneous-sensing-system-based-method-for-unmanned-aerial-vehicle-indoor-positioning
#6
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
#7
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
#8
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
#9
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/28763498/formation-flight-and-collision-avoidance-for-multiple-uavs-based-on-modified-tentacle-algorithm-in-unstructured-environments
#10
Minghuan Zhang
This paper presents a method for formation flight and collision avoidance of multiple UAVs. Due to the shortcomings such as collision avoidance caused by UAV's high-speed and unstructured environments, this paper proposes a modified tentacle algorithm to ensure the high performance of collision avoidance. Different from the conventional tentacle algorithm which uses inverse derivation, the modified tentacle algorithm rapidly matches the radius of each tentacle and the steering command, ensuring that the data calculation problem in the conventional tentacle algorithm is solved...
2017: PloS One
https://www.readbyqxmd.com/read/28760496/pigeon-interaction-mode-switch-based-uav-distributed-flocking-control-under-obstacle-environments
#11
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/28727553/flycap-markerless-motion-capture-using-multiple-autonomous-flying-cameras
#12
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/28718790/preliminary-study-of-uas-equipped-with-thermal-camera-for-volcanic-geothermal-monitoring-in-taiwan
#13
Shih-Hong Chio, Cheng-Horng Lin
Thermal infrared cameras sense the temperature information of sensed scenes. With the development of UASs (Unmanned Aircraft Systems), thermal infrared cameras can now be carried on a quadcopter UAV (Unmanned Aircraft Vehicle) to appropriately collect high-resolution thermal images for volcanic geothermal monitoring in a local area. Therefore, the quadcopter UAS used to acquire thermal images for volcanic geothermal monitoring has been developed in Taiwan as part of this study to overcome the difficult terrain with highly variable topography and extreme environmental conditions...
July 18, 2017: Sensors
https://www.readbyqxmd.com/read/28718788/implementation-of-an-imu-aided-image-stacking-algorithm-in-a-digital-camera-for-unmanned-aerial-vehicles
#14
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/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/28629189/localization-framework-for-real-time-uav-autonomous-landing-an-on-ground-deployed-visual-approach
#20
Weiwei Kong, Tianjiang Hu, Daibing Zhang, Lincheng Shen, Jianwei Zhang
[-5]One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As for applications, the deployed guidance system makes full use of the ground computing resource and feedbacks the aircraft's real-time localization to its on-board autopilot. Under such circumstances, a separate long baseline stereo architecture is proposed to possess an extendable baseline and wide-angle field of view (FOV) against the traditional fixed baseline schemes...
June 19, 2017: Sensors
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