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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/28805689/visual-servoing-for-an-autonomous-hexarotor-using-a-neural-network-based-pid-controller
#2
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
#3
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
#4
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
#5
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/28758945/olive-actual-on-year-yield-forecast-tool-based-on-the-tree-canopy-geometry-using-uas-imagery
#6
Rafael R Sola-Guirado, Francisco J Castillo-Ruiz, Francisco Jiménez-Jiménez, Gregorio L Blanco-Roldan, Sergio Castro-Garcia, Jesus A Gil-Ribes
Olive has a notable importance in countries of Mediterranean basin and its profitability depends on several factors such as actual yield, production cost or product price. Actual "on year" Yield (AY) is production (kg tree(-1)) in "on years", and this research attempts to relate it with geometrical parameters of the tree canopy. Regression equation to forecast AY based on manual canopy volume was determined based on data acquired from different orchard categories and cultivars during different harvesting seasons in southern Spain...
July 30, 2017: Sensors
https://www.readbyqxmd.com/read/28731628/aerial-release-of-rhinoncomimus-latipes-coleoptera-curculionidae-to-control-persicaria-perfoliata-polygonaceae-using-an-unmanned-aerial-system
#7
Yong-Lak Park, Srikanth Gururajan, Harold Thistle, Rakesh Chandran, Richard Reardon
BACKGROUND: Rhinoncomimus latipes (Coleoptera: Curculionidae) is a major biological control agent against the invasive plant, Persicaria perfoliata. Release of R. latipes is challenging with the current visit-and-hand release approach because P. perfoliata shows a high degree of patchiness in the landscape, possesses recurved barbs on its stems, and often spreads into hard-to-access areas. This 3-year study developed and evaluated unmanned aerial systems (UAS) for precise aerial release and survivorship of R...
July 21, 2017: Pest Management Science
https://www.readbyqxmd.com/read/28727553/flycap-markerless-motion-capture-using-multiple-autonomous-flying-cameras
#8
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/28718788/implementation-of-an-imu-aided-image-stacking-algorithm-in-a-digital-camera-for-unmanned-aerial-vehicles
#9
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/28675149/uas-stealth-target-pursuit-at-constant-distance-using-a-bio-inspired-motion-camouflage-guidance-law
#10
Reuben Strydom, Mandyam Srinivasan
The aim of this study is to derive a guidance law by which an Unmanned Aerial System(s) (UAS) can pursue a moving target at a constant distance, while concealing its own motion. We derive a closed-form solution for the trajectory of the UAS by imposing two key constraints: (1) the shadower moves in such a way as to be perceived as a stationary object by the shadowee, and (2) the distance between the shadower and shadowee is kept constant. Additionally, the theory presented in this paper considers constraints on the maximum achievable speed and acceleration of the shadower...
July 4, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28672864/vicarious-calibration-of-suas-microbolometer-temperature-imagery-for-estimation-of-radiometric-land-surface-temperature
#11
Alfonso Torres-Rua
In recent years, the availability of lightweight microbolometer thermal cameras compatible with small unmanned aerial systems (sUAS) has allowed their use in diverse scientific and management activities that require sub-meter pixel resolution. Nevertheless, as with sensors already used in temperature remote sensing (e.g., Landsat satellites), a radiance atmospheric correction is necessary to estimate land surface temperature. This is because atmospheric conditions at any sUAS flight elevation will have an adverse impact on the image accuracy, derived calculations, and study replicability using the microbolometer technology...
June 26, 2017: Sensors
https://www.readbyqxmd.com/read/28649041/determination-of-the-vertical-profile-of-particle-number-concentration-adjacent-to-a-motorway-using-an-unmanned-aerial-vehicle
#12
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/28629159/intercomparison-of-unmanned-aerial-vehicle-and-ground-based-narrow-band-spectrometers-applied-to-crop-trait-monitoring-in-organic-potato-production
#13
Marston Héracles Domingues Franceschini, Harm Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra
Vegetation properties can be estimated using optical sensors, acquiring data on board of different platforms. For instance, ground-based and Unmanned Aerial Vehicle (UAV)-borne spectrometers can measure reflectance in narrow spectral bands, while different modelling approaches, like regressions fitted to vegetation indices, can relate spectra with crop traits. Although monitoring frameworks using multiple sensors can be more flexible, they may result in higher inaccuracy due to differences related to the sensors characteristics, which can affect information sampling...
June 18, 2017: Sensors
https://www.readbyqxmd.com/read/28594353/the-development-of-an-open-hardware-and-software-system-onboard-unmanned-aerial-vehicles-to-monitor-concentrated-solar-power-plants
#14
Francisco Javier Mesas-Carrascosa, Daniel Verdú Santano, Fernando Pérez Porras, José Emilio Meroño-Larriva, Alfonso García-Ferrer
Concentrated solar power (CSP) plants are increasingly gaining interest as a source of renewable energy. These plants face several technical problems and the inspection of components such as absorber tubes in parabolic trough concentrators (PTC), which are widely deployed, is necessary to guarantee plant efficiency. This article presents a system for real-time industrial inspection of CSP plants using low-cost, open-source components in conjunction with a thermographic sensor and an unmanned aerial vehicle (UAV)...
June 8, 2017: Sensors
https://www.readbyqxmd.com/read/28593563/spatio-temporal-monitoring-of-cotton-cultivation-using-ground-based-and-airborne-multispectral-sensors-in-gis-environment
#15
Antonis Papadopoulos, Dionissios Kalivas, Sid Theocharopoulos
Multispectral sensor capability of capturing reflectance data at several spectral channels, together with the inherent reflectance responses of various soils and especially plant surfaces, has gained major interest in crop production. In present study, two multispectral sensing systems, a ground-based and an aerial-based, were applied for the multispatial and temporal monitoring of two cotton fields in central Greece. The ground-based system was Crop Circle ACS-430, while the aerial consisted of a consumer-level quadcopter (Phantom 2) and a modified Hero3+ Black digital camera...
July 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28574474/a-lidar-and-imu-integrated-indoor-navigation-system-for-uavs-and-its-application-in-real-time-pipeline-classification
#16
G Ajay Kumar, Ashok Kumar Patil, Rekha Patil, Seong Sill Park, Young Ho Chai
Mapping the environment of a vehicle and localizing a vehicle within that unknown environment are complex issues. Although many approaches based on various types of sensory inputs and computational concepts have been successfully utilized for ground robot localization, there is difficulty in localizing an unmanned aerial vehicle (UAV) due to variation in altitude and motion dynamics. This paper proposes a robust and efficient indoor mapping and localization solution for a UAV integrated with low-cost Light Detection and Ranging (LiDAR) and Inertial Measurement Unit (IMU) sensors...
June 2, 2017: Sensors
https://www.readbyqxmd.com/read/28515537/estimating-spatially-distributed-turbulent-heat-fluxes-from-high-resolution-thermal-imagery-acquired-with-a-uav-system
#17
Claire Brenner, Christina Elisabeth Thiem, Hans-Dieter Wizemann, Matthias Bernhardt, Karsten Schulz
In this study, high-resolution thermal imagery acquired with a small unmanned aerial vehicle (UAV) is used to map evapotranspiration (ET) at a grassland site in Luxembourg. The land surface temperature (LST) information from the thermal imagery is the key input to a one-source and two-source energy balance model. While the one-source model treats the surface as a single uniform layer, the two-source model partitions the surface temperature and fluxes into soil and vegetation components. It thus explicitly accounts for the different contributions of both components to surface temperature as well as turbulent flux exchange with the atmosphere...
May 19, 2017: International Journal of Remote Sensing
https://www.readbyqxmd.com/read/28481285/a-novel-real-time-reference-key-frame-scan-matching-method
#18
Haytham Mohamed, Adel Moussa, Mohamed Elhabiby, Naser El-Sheimy, Abu Sesay
Unmanned aerial vehicles represent an effective technology for indoor search and rescue operations. Typically, most indoor missions' environments would be unknown, unstructured, and/or dynamic. Navigation of UAVs in such environments is addressed by simultaneous localization and mapping approach using either local or global approaches. Both approaches suffer from accumulated errors and high processing time due to the iterative nature of the scan matching method. Moreover, point-to-point scan matching is prone to outlier association processes...
May 7, 2017: Sensors
https://www.readbyqxmd.com/read/28445417/ins-gnss-integration-for-aerobatic-flight-applications-and-aircraft-motion-surveying
#19
Edgar L V Hinüber, Christian Reimer, Tim Schneider, Michael Stock
This paper presents field tests of challenging flight applications obtained with a new family of lightweight low-power INS/GNSS (inertial navigation system/global satellite navigation system) solutions based on MEMS (micro-electro-mechanical- sensor) machined sensors, being used for UAV (unmanned aerial vehicle) navigation and control as well as for aircraft motion dynamics analysis and trajectory surveying. One key is a 42+ state extended Kalman-filter-based powerful data fusion, which also allows the estimation and correction of parameters that are typically affected by sensor aging, especially when applying MEMS-based inertial sensors, and which is not yet deeply considered in the literature...
April 26, 2017: Sensors
https://www.readbyqxmd.com/read/28425946/robot-beacon-distributed-range-only-slam-for-resource-constrained-operation
#20
Arturo Torres-González, Jose Ramiro Martínez-de Dios, Anibal Ollero
This work deals with robot-sensor network cooperation where sensor nodes (beacons) are used as landmarks for Range-Only (RO) Simultaneous Localization and Mapping (SLAM). Most existing RO-SLAM techniques consider beacons as passive devices disregarding the sensing, computational and communication capabilities with which they are actually endowed. SLAM is a resource-demanding task. Besides the technological constraints of the robot and beacons, many applications impose further resource consumption limitations...
April 20, 2017: Sensors
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