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https://www.readbyqxmd.com/read/28931461/detection-of-the-power-lines-in-uav-remote-sensed-images-using-spectral-spatial-methods
#1
Rishav Bhola, Nandigam Hari Krishna, K N Ramesh, J Senthilnath, Gautham Anand
In this paper, detection of the power lines on images acquired by Unmanned Aerial Vehicle (UAV) based remote sensing is carried out using spectral-spatial methods. Spectral clustering was performed using Kmeans and Expectation Maximization (EM) algorithm to classify the pixels into the power lines and non-power lines. The spectral clustering methods used in this study are parametric in nature, to automate the number of clusters Davies-Bouldin index (DBI) is used. The UAV remote sensed image is clustered into the number of clusters determined by DBI...
September 17, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28925960/curvature-continuous-and-bounded-path-planning-for-fixed-wing-uavs
#2
Xiaoliang Wang, Peng Jiang, Deshi Li, Tao Sun
Unmanned Aerial Vehicles (UAVs) play an important role in applications such as data collection and target reconnaissance. An accurate and optimal path can effectively increase the mission success rate in the case of small UAVs. Although path planning for UAVs is similar to that for traditional mobile robots, the special kinematic characteristics of UAVs (such as their minimum turning radius) have not been taken into account in previous studies. In this paper, we propose a locally-adjustable, continuous-curvature, bounded path-planning algorithm for fixed-wing UAVs...
September 19, 2017: Sensors
https://www.readbyqxmd.com/read/28925947/a-dynamic-multi-projection-contour-approximating-framework-for-the-3d-reconstruction-of-buildings-by-super-generalized-optical-stereo-pairs
#3
Yiming Yan, Nan Su, Chunhui Zhao, Liguo Wang
In this paper, a novel framework of the 3D reconstruction of buildings is proposed, focusing on remote sensing super-generalized stereo-pairs (SGSPs). As we all know, 3D reconstruction cannot be well performed using nonstandard stereo pairs, since reliable stereo matching could not be achieved when the image-pairs are collected at a great difference of views, and we always failed to obtain dense 3D points for regions of buildings, and cannot do further 3D shape reconstruction. We defined SGSPs as two or more optical images collected in less constrained views but covering the same buildings...
September 19, 2017: Sensors
https://www.readbyqxmd.com/read/28900394/navigation-and-self-semantic-location-of-drones-in-indoor-environments-by-combining-the-visual-bug-algorithm-and-entropy-based-vision
#4
Darío Maravall, Javier de Lope, Juan P Fuentes
We introduce a hybrid algorithm for the self-semantic location and autonomous navigation of robots using entropy-based vision and visual topological maps. In visual topological maps the visual landmarks are considered as leave points for guiding the robot to reach a target point (robot homing) in indoor environments. These visual landmarks are defined from images of relevant objects or characteristic scenes in the environment. The entropy of an image is directly related to the presence of a unique object or the presence of several different objects inside it: the lower the entropy the higher the probability of containing a single object inside it and, conversely, the higher the entropy the higher the probability of containing several objects inside it...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28891985/cross-correlation-based-structural-system-identification-using-unmanned-aerial-vehicles
#5
Hyungchul Yoon, Vedhus Hoskere, Jong-Woong Park, Billie F Spencer
Computer vision techniques have been employed to characterize dynamic properties of structures, as well as to capture structural motion for system identification purposes. All of these methods leverage image-processing techniques using a stationary camera. This requirement makes finding an effective location for camera installation difficult, because civil infrastructure (i.e., bridges, buildings, etc.) are often difficult to access, being constructed over rivers, roads, or other obstacles. This paper seeks to use video from Unmanned Aerial Vehicles (UAVs) to address this problem...
September 11, 2017: Sensors
https://www.readbyqxmd.com/read/28885547/a-stereo-dual-channel-dynamic-programming-algorithm-for-uav-image-stitching
#6
Ming Li, Ruizhi Chen, Weilong Zhang, Deren Li, Xuan Liao, Lei Wang, Yuanjin Pan, Peng Zhang
Dislocation is one of the major challenges in unmanned aerial vehicle (UAV) image stitching. In this paper, we propose a new algorithm for seamlessly stitching UAV images based on a dynamic programming approach. Our solution consists of two steps: Firstly, an image matching algorithm is used to correct the images so that they are in the same coordinate system. Secondly, a new dynamic programming algorithm is developed based on the concept of a stereo dual-channel energy accumulation. A new energy aggregation and traversal strategy is adopted in our solution, which can find a more optimal seam line for image stitching...
September 8, 2017: Sensors
https://www.readbyqxmd.com/read/28880254/concrete-crack-identification-using-a-uav-incorporating-hybrid-image-processing
#7
Hyunjun Kim, Junhwa Lee, Eunjong Ahn, Soojin Cho, Myoungsu Shin, Sung-Han Sim
Crack assessment is an essential process in the maintenance of concrete structures. In general, concrete cracks are inspected by manual visual observation of the surface, which is intrinsically subjective as it depends on the experience of inspectors. Further, it is time-consuming, expensive, and often unsafe when inaccessible structural members are to be assessed. Unmanned aerial vehicle (UAV) technologies combined with digital image processing have recently been applied to crack assessment to overcome the drawbacks of manual visual inspection...
September 7, 2017: Sensors
https://www.readbyqxmd.com/read/28867775/remote-marker-based-tracking-for-uav-landing-using-visible-light-camera-sensor
#8
Phong Ha Nguyen, Ki Wan Kim, Young Won Lee, Kang Ryoung Park
Unmanned aerial vehicles (UAVs), which are commonly known as drones, have proved to be useful not only on the battlefields where manned flight is considered too risky or difficult, but also in everyday life purposes such as surveillance, monitoring, rescue, unmanned cargo, aerial video, and photography. More advanced drones make use of global positioning system (GPS) receivers during the navigation and control loop which allows for smart GPS features of drone navigation. However, there are problems if the drones operate in heterogeneous areas with no GPS signal, so it is important to perform research into the development of UAVs with autonomous navigation and landing guidance using computer vision...
August 30, 2017: Sensors
https://www.readbyqxmd.com/read/28862663/novelty-detection-classifiers-in-weed-mapping-silybum-marianum-detection-on-uav-multispectral-images
#9
Thomas K Alexandridis, Afroditi Alexandra Tamouridou, Xanthoula Eirini Pantazi, Anastasia L Lagopodi, Javid Kashefi, Georgios Ovakoglou, Vassilios Polychronos, Dimitrios Moshou
In the present study, the detection and mapping of Silybum marianum (L.) Gaertn. weed using novelty detection classifiers is reported. A multispectral camera (green-red-NIR) on board a fixed wing unmanned aerial vehicle (UAV) was employed for obtaining high-resolution images. Four novelty detection classifiers were used to identify S. marianum between other vegetation in a field. The classifiers were One Class Support Vector Machine (OC-SVM), One Class Self-Organizing Maps (OC-SOM), Autoencoders and One Class Principal Component Analysis (OC-PCA)...
September 1, 2017: Sensors
https://www.readbyqxmd.com/read/28860645/applications-of-unmanned-aerial-vehicles-in-intertidal-reef-monitoring
#10
Sarah L Murfitt, Blake M Allan, Alecia Bellgrove, Alex Rattray, Mary A Young, Daniel Ierodiaconou
Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities for monitoring broad scale coastal ecosystems through the ability to capture centimetre resolution imagery and topographic data not possible with conventional approaches. This study compares UAV remote sensing of intertidal reefs to traditional on-ground monitoring surveys, and investigates the role of UAV derived geomorphological variables in explaining observed intertidal algal and invertebrate assemblages...
August 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28853176/optimal-mission-abort-policy-for-systems-operating-in-a-random-environment
#11
Gregory Levitin, Maxim Finkelstein
Many real-world critical systems, e.g., aircrafts, manned space flight systems, and submarines, utilize mission aborts to enhance their survivability. Specifically, a mission can be aborted when a certain malfunction condition is met and a rescue or recovery procedure is then initiated. For systems exposed to external impacts, the malfunctions are often caused by the consequences of these impacts. Traditional system reliability models typically cannot address a possibility of mission aborts. Therefore, in this article, we first develop the corresponding methodology for modeling and evaluation of the mission success probability and survivability of systems experiencing both internal failures and external shocks...
August 29, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28811888/performance-test-and-verification-of-an-off-the-shelf-automated-avian-radar-tracking-system
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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