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https://www.readbyqxmd.com/read/28731628/aerial-release-of-rhinoncomimus-latipes-coleoptera-curculionidae-to-control-persicaria-perfoliata-polygonaceae-using-an-unmanned-aerial-system
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
https://www.readbyqxmd.com/read/28420534/adaptive-compensation-control-for-attitude-adjustment-of-quad-rotor-unmanned-aerial-vehicle
#15
Zhankui Song, Kaibiao Sun
A compensation control strategy based on adaptive back-stepping technique is presented to address the problem of attitude adjustment for a quad-rotor unmanned aerial vehicle (QR- UAV) with inertia parameter uncertainties, the limited airflow disturbance and the partial loss of rotation speed effectiveness. In the design process of control system, adaptive estimation technique is introduced into the closed loop system in order to compensate the lumped disturbance term. More specifically, the designed controller utilizes "prescribed performance bounds" method, and therefore guarantees the transient performance of tracking errors, even in the presence of the lumped disturbance...
April 15, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28420214/multi-mode-estimation-for-small-fixed-wing-unmanned-aerial-vehicle-localization-based-on-a-linear-matrix-inequality-approach
#16
Mostafa Elzoghby, Fu Li, Ibrahim I Arafa, Usman Arif
Information fusion from multiple sensors ensures the accuracy and robustness of a navigation system, especially in the absence of global positioning system (GPS) data which gets degraded in many cases. A way to deal with multi-mode estimation for a small fixed wing unmanned aerial vehicle (UAV) localization framework is proposed, which depends on utilizing a Luenberger observer-based linear matrix inequality (LMI) approach. The proposed estimation technique relies on the interaction between multiple measurement modes and a continuous observer...
April 18, 2017: Sensors
https://www.readbyqxmd.com/read/28405214/a-real-time-phenotyping-framework-using-machine-learning-for-plant-stress-severity-rating-in-soybean
#17
Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K Singh, Baskar Ganapathysubramanian
BACKGROUND: Phenotyping is a critical component of plant research. Accurate and precise trait collection, when integrated with genetic tools, can greatly accelerate the rate of genetic gain in crop improvement. However, efficient and automatic phenotyping of traits across large populations is a challenge; which is further exacerbated by the necessity of sampling multiple environments and growing replicated trials. A promising approach is to leverage current advances in imaging technology, data analytics and machine learning to enable automated and fast phenotyping and subsequent decision support...
2017: Plant Methods
https://www.readbyqxmd.com/read/28400784/high-throughput-phenotyping-of-sorghum-plant-height-using-an-unmanned-aerial-vehicle-and-its-application-to-genomic-prediction-modeling
#18
Kakeru Watanabe, Wei Guo, Keigo Arai, Hideki Takanashi, Hiromi Kajiya-Kanegae, Masaaki Kobayashi, Kentaro Yano, Tsuyoshi Tokunaga, Toru Fujiwara, Nobuhiro Tsutsumi, Hiroyoshi Iwata
Genomics-assisted breeding methods have been rapidly developed with novel technologies such as next-generation sequencing, genomic selection and genome-wide association study. However, phenotyping is still time consuming and is a serious bottleneck in genomics-assisted breeding. In this study, we established a high-throughput phenotyping system for sorghum plant height and its response to nitrogen availability; this system relies on the use of unmanned aerial vehicle (UAV) remote sensing with either an RGB or near-infrared, green and blue (NIR-GB) camera...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28338047/automated-detection-and-enumeration-of-marine-wildlife-using-unmanned-aircraft-systems-uas-and-thermal-imagery
#19
A C Seymour, J Dale, M Hammill, P N Halpin, D W Johnston
Estimating animal populations is critical for wildlife management. Aerial surveys are used for generating population estimates, but can be hampered by cost, logistical complexity, and human risk. Additionally, human counts of organisms in aerial imagery can be tedious and subjective. Automated approaches show promise, but can be constrained by long setup times and difficulty discriminating animals in aggregations. We combine unmanned aircraft systems (UAS), thermal imagery and computer vision to improve traditional wildlife survey methods...
March 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28335570/an-improved-multi-sensor-fusion-navigation-algorithm-based-on-the-factor-graph
#20
Qinghua Zeng, Weina Chen, Jianye Liu, Huizhe Wang
An integrated navigation system coupled with additional sensors can be used in the Micro Unmanned Aerial Vehicle (MUAV) applications because the multi-sensor information is redundant and complementary, which can markedly improve the system accuracy. How to deal with the information gathered from different sensors efficiently is an important problem. The fact that different sensors provide measurements asynchronously may complicate the processing of these measurements. In addition, the output signals of some sensors appear to have a non-linear character...
March 21, 2017: Sensors
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