Academic literature on the topic 'Triangulation localization method'
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Journal articles on the topic "Triangulation localization method"
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Miao, Feng, Diange Yang, Junjie Wen, and Xiaomin Lian. "Moving sound source localization based on triangulation method." Journal of Sound and Vibration 385 (December 2016): 93–103. http://dx.doi.org/10.1016/j.jsv.2016.09.001.
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Kanakaraj, Swetha, and Deepthika Pitchaikani. "Experimental Study of Source Localization in Acoustic Emission using Triangulation Method." IOP Conference Series: Materials Science and Engineering 1197, no. 1 (November 1, 2021): 012061. http://dx.doi.org/10.1088/1757-899x/1197/1/012061.
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Abstract Conventional repair and rehabilitation techniques have proven effective only to treat damage and arrest it. Hence, the need to prevent the damage, to know the growing damage before a complete collapse is necessary. Thus, acoustic emission is a proven method for structural health monitoring, to find and rectify the damage at its early stage. The Acoustic emission technique could be directly applied for monitoring large structures made of concrete, aircrafts & bridges. It helps in recognition of structural damage prior, which helps in avoiding catastrophic failure. The proper and efficient detection of damage makes structure safer for the public. This is a low-cost & less intricate technique than conventional methods. Quantitative criteria of acoustic sensing will provide efficient diagnosis and prognosis of structural damage. This paper surmounts the triangulation method of source localization of acoustic emission. The data is gathered by the sensors and then used to know the location of damage/source and respective characteristics of the wave. MATLAB is used for defining the energy of the signals captured by the sensors. Thus, the signal parameter’s study and verification of the source’s location using sensors is justified to be correct in the acoustic emission technique.
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Aziz, M. A., and C. T. Allen. "Experimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunity." International Journal of Navigation and Observation 2018 (March 25, 2018): 1–6. http://dx.doi.org/10.1155/2018/5470895.
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This paper presents a study of differential AoA (Angle-of-Arrival) based 2D localization method utilizing FM radio signals (88 MHz–108 MHz) as Signals of Opportunity (SOP). Given prior knowledge of the transmitters’ position and signal characteristics, the proposed technique utilizes triangulation to localize receiver’s 2D position. Dual antenna interferometry provides the received signals’ AoA required for triangulation. Reliance on precise knowledge of antenna system’s orientation is removed by utilizing differential Angle of Arrivals (dAoAs). The 2D localization accuracy is improved by utilizing colocated transmitters, a concept proposed in this paper as supertowers. Analysis, simulation, and ground-based experiments have been presented; results showed that when the SNR (Signal-to-Noise Ratio) is higher than 45 dB, the proposed method localizes the receiver’s 2D position with an error of less than 15 m.
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Li, Qingqing, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, and Tomi Westerlund. "Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation." Remote Sensing 12, no. 11 (June 9, 2020): 1870. http://dx.doi.org/10.3390/rs12111870.
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Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest. Forests are unstructured environments where it is difficult to find a group of significant landmarks for current fast feature-based place recognition algorithms. This paper proposes a novel approach where local point clouds are matched to a global tree map using the Delaunay triangularization as the representation format. Instead of point cloud based matching methods, we utilize a topology-based method. First, tree trunk positions are registered at a prior run done by a forest harvester. Second, the resulting map is Delaunay triangularized. Third, a local submap of the autonomous robot is registered, triangularized and matched using triangular similarity maximization to estimate the position of the robot. We test our method on a dataset accumulated from a forestry site at Lieksa, Finland. A total length of 200 m of harvester path was recorded by an industrial harvester with a 3D laser scanner and a geolocation unit fixed to the frame. Our experiments show a 12 cm s.t.d. in the location accuracy and with real-time data processing for speeds not exceeding 0.5 m/s. The accuracy and speed limit are realistic during forest operations.
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Zhang, Li Chuan, Ming Yong Liu, and Fu Bin Zhang. "Cooperative Localization Method for AUV Using Acoustic Communication Measurement." Advanced Engineering Forum 4 (June 2012): 227–31. http://dx.doi.org/10.4028/www.scientific.net/aef.4.227.
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In this paper, we propose an algorithm based on double acoustic measurement for cooperative navigation of multiple autonomous underwater vehicles. Research on cooperative navigation of AUV is an important topic to solve the navigation problem in long range and deep sea. We investigate the improvement in navigation accuracy. In the Leader-follow structure, the leader AUV is equipped with high precision navigation system, and the follow AUV is equipped with low precision navigation system. They all are equipped with acoustic device to measure relative location. Traditionally geometry triangulation method is used to calculate the position of follow AUV, the method may cause fault error solution. Double acoustic communication measurement method was designed, which fused the proprioceptive and exteroceptive sensors. The research results prove that the navigation accuracy has been improved effectively.
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Brassart, Eric, Claude Pegard, and Mustapha Mouaddib. "Localization using infrared beacons." Robotica 18, no. 2 (March 2000): 153–61. http://dx.doi.org/10.1017/s0263574799001927.
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In this paper, we deal with a localization system allowing one to determine the position and orientation of a mobile robot. This system uses active beacons distributed at the ceiling of the navigation area. These beacons can transmit a coded infrared signal which allows the robots to identify the sender. A CCD camera associated to an infrared receiver allows one to compute the position with a triangulation method which needs reduced processing time. Calibration and correcting distortion stages are performed to improve accuracy in the determination of the position. Dynamic localisation is established for most actual mobile robots used in indoor areas.
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Baddeley, David, Mark B. Cannell, and Christian Soeller. "Visualization of Localization Microscopy Data." Microscopy and Microanalysis 16, no. 1 (January 18, 2010): 64–72. http://dx.doi.org/10.1017/s143192760999122x.
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AbstractLocalization microscopy techniques based on localizing single fluorophore molecules now routinely achieve accuracies better than 30 nm. Unlike conventional optical microscopies, localization microscopy experiments do not generate an image but a list of discrete coordinates of estimated fluorophore positions. Data display and analysis therefore generally require visualization methods that translate the position data into conventional images. Here we investigate the properties of several widely used visualization techniques and show that a commonly used algorithm based on rendering Gaussians may lead to a 1.44-fold loss of resolution. Existing methods typically do not explicitly take sampling considerations into account and thus may produce spurious structures. We present two additional visualization algorithms, an adaptive histogram method based on quad-trees and a Delaunay triangulation based visualization of point data that address some of these deficiencies. The new visualization methods are designed to suppress erroneous detail in poorly sampled image areas but avoid loss of resolution in well-sampled regions. A number of criteria for scoring visualization methods are developed as a guide for choosing among visualization methods and are used to qualitatively compare various algorithms.
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Żak, Bogdan, and Stanisław Hożyń. "Moving Object Detection, Localization and Tracking Using Stereo Vison System." Solid State Phenomena 236 (July 2015): 134–41. http://dx.doi.org/10.4028/www.scientific.net/ssp.236.134.
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The aim of this study was to design an moving object detection, localization and tracking algorithm able to detect, localize and track especially humans and vehicles. We focused on triangulation techniques to calculate the position of the detected objects in a stereo vision rig coordinates frame. For objects detection and tracking the novel algorithm, based on statistical image processing methods, was proposed. Verification of a proper operation of the elaborated method was made by conducting series of experiments. Our results indicate that the algorithm localizes, detects and tracks objects accurately for the most tested conditions.
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Lin, S. C., G. P. Too, and C. W. Tu. "Development of the Source Reconstruction System by Combining Sound Source Localization and Time Reversal Method." Journal of Mechanics 34, no. 1 (March 9, 2016): 35–40. http://dx.doi.org/10.1017/jmech.2016.13.
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AbstractThis study explored the target sound source location at unknown situation and processed the received signal to determine the location of the target, including the reconstructed signal of source immediately. In this paper, it used triangulation sound sources localization and time reversal method (TRM) to reconstruct the source signals. The purpose is to use a sound source localization method with a simple device to quickly locate the position of the sound source. This method uses the microphone array to measure signal from the target sound source. Then, the sound source location is calculated and is indicated by Cartesian coordinates. The sound source location is then used to evaluate free field impulse response function which can replace the impulse response function used in time-reversal method. This process reduces the computation time greatly which makes possible for a real time source localization and source signal separation.
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Ruan, L., L. Zhang, F. Cheng, and Y. Long. "THE GLOBAL OPTIMAL PLACEMENT OF BLE BEACON FOR LOCALIZATION BASED ON INDOOR MAP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 529–34. http://dx.doi.org/10.5194/isprs-archives-xlii-4-529-2018.
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<p><strong>Abstract.</strong> Anchor Nodes in a localization system obviously play a crucial role in determining the system’s quality. Their placement directly affects the localization accuracy and their number directly impacts the total cost of the system. Nowadays, the deployment of Bluetooth nodes in industry generally relies on the experience knowledge of engineers and the cost of positioning beacon does not considered the global level. In this paper, we put forward a method to extract the number and location of BLE beacon automatically and ensure a high positioning accuracy of the indoor positioning system based the rules of indoor positioning, which use all kinds of space objects and structure characteristics of indoor map. The triangulation method was selected to study the global optimal placement of BLE beacon for localization based on indoor map. The impacts and requirements of BLE beacon placement were systematic analysed from the triangulation positioning method, indoor positioning environment and indoor user distribution characteristics. According to the characteristics of indoor environment structure and user distribution, we built an optimization model of BLE beacon placement method based on genetic algorithm which can generate the number and the location of BLE beacon. At last, the Bluetooth indoor positioning prototype system is developed to compare the experience method deployment scheme and the global optimization deployment scheme in the real indoor positioning environment.</p>
Dissertations / Theses on the topic "Triangulation localization method"
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Букар, Григорій Миколайович. "Акустична система виявлення і локалізації малих літальних апаратів." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/34775.
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Дипломна робота містить основну частину на 30 аркушах, 17 ілюстрацій та 1 таблицю. Метою роботи є розробка акустичної системи пеленгування безпілотних літальних апаратів. В роботі проведено аналітичний огляд літератури, встановлені акустичні характеристики випромінювання, вибрано тріангуляційний спосіб локалізації безпілотних літальних апаратів. Для визначення пеленгів запропоновано використати кореляційний метод. Комп’ютерне моделювання кореляційного пеленгатора дало змогу визначити відношення сигнал/завада для забезпечення достовірного виявлення.Thesis contains the bulk of the 30 pages, 17 illustrations and 1 table. The aim of the work is to develop an acoustic guidance system for unmanned aerial vehicles. The analytical review of the literature is carried out, the acoustic characteristics of radiation are established, the triangulation method of localization of unmanned aerial vehicles is chosen. It is proposed to use the correlation method to determine the bearings. Computer simulation of the correlation direction finder made it possible to determine the signal-to-noise ratio to ensure reliable detection.
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Lam, Alice. "3D sound-source localization using triangulation-based methods." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/63551.
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The localization of sound sources in a reverberant environment, such as a classroom or industrial workspace, is an essential first step toward noise control in these spaces. Many sound source localization techniques have been developed for use with microphone arrays. A common characteristic of these techniques is that they are able to provide the direction from which the sound is coming, but not the range (i.e. the distance between the source and receiver).This thesis presents two triangulation-based methods for localizing sound sources in 3D space, including range, using a small hemispherical microphone array. Practical issues with the hemispherical array, such as source resolution and operating frequency limitations, are discussed. The first method - direct triangulation - involves taking multiple sound field measurements at different locations in the room, and then using the combined output of all receivers to triangulate the source. Direct triangulation is conceptually simple and requires no a priori knowledge of the surrounding environment, but proves cumbersome as multiple array measurements are required - this also limits its application to steady-state noise sources. The second method - image source triangulation - requires only one measurement, instead taking into account the early specular reflections from the walls of the room to create "image receivers" from which the source location can be triangulated. Image source triangulation has the advantage of only requiring one measurement and may be more suited to small spaces such as meeting rooms. However, it relies on having accurate pre-knowledge of the room geometry in relation to the microphones. Both triangulation methods are evaluated using simulations and physical in-room measurements, and are shown to be able to localize simple monopole sources in reverberant rooms.Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Ureten, Suzan. "Single and Multiple Emitter Localization in Cognitive Radio Networks." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35692.
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Cognitive radio (CR) is often described as a context-intelligent radio, capable of changing the transmit parameters dynamically based on the interaction with the environment it operates. The work in this thesis explores the problem of using received signal strength (RSS) measurements taken by a network of CR nodes to generate an interference map of a given geographical area and estimate the locations of multiple primary transmitters that operate simultaneously in the area. A probabilistic model of the problem is developed, and algorithms to address location estimation challenges are proposed. Three approaches are proposed to solve the localization problem. The first approach is based on estimating the locations from the generated interference map when no information about the propagation model or any of its parameters is present. The second approach is based on approximating the maximum likelihood (ML) estimate of the transmitter locations with the grid search method when the model is known and its parameters are available. The third approach also requires the knowledge of model parameters but it is actually based on generating samples from the joint posterior of the unknown location parameter with Markov chain Monte Carlo (MCMC) methods, as an alternative for the highly computationally complex grid search approach.
For RF cartography generation problem, we study global and local interpolation techniques, specifically the Delaunay triangulation based techniques as the use of existing triangulation provides a computationally attractive solution. We present a comparative performance evaluation of these interpolation techniques in terms of RF field strength estimation and emitter localization. Even though the estimates obtained from the generated interference maps are less accurate compared to the ML estimator, the rough estimates are utilized to initialize a more accurate algorithm such as the MCMC technique to reduce the complexity of the algorithm. The complexity issues of ML estimators based on full grid search are also addressed by various types of iterative grid search methods. One challenge to apply the ML estimation algorithm to multiple emitter localization problem is that, it requires a pdf approximation to summands of log-normal random variables for likelihood calculations at each grid location. This inspires our investigations on sum of log-normal approximations studied in literature for selecting the appropriate approximation to our model assumptions. As a final extension of this work, we propose our own approximation based on distribution fitting to a set of simulated data and compare our approach with Fenton-Wilkinson's well-known approximation which is a simple and computational efficient approach that fits a log-normal distribution to sum of log-normals by matching the first and second central moments of random variables. We demonstrate that the location estimation accuracy of the grid search technique obtained with our proposed approximation is higher than the one obtained with Fenton-Wilkinson's in many different case scenarios.
Book chapters on the topic "Triangulation localization method"
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Tran, Duc A., XuanLong Nguyen, and Thinh Nguyen. "Machine Learning Based Localization." In Localization Algorithms and Strategies for Wireless Sensor Networks, 302–20. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-396-8.ch012.
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A vast majority of localization techniques proposed for sensor networks are based on triangulation methods in Euclidean geometry. They utilize the geometrical properties of the sensor network to infer the sensor locations. A fundamentally different approach is presented in this chapter. This approach is based on machine learning, in which the authors work directly on the natural (non-Euclidean) coordinate systems provided by the sensor devices. The known locations of a few nodes in the network and the sensor readings can be exploited to construct signal-strength or hop-count based function spaces that are useful for learning unknown sensor locations, as well as other extrinsic quantities of interest. They discuss the applicability of two learning methods: the classification method and the regression method. They show that these methods are especially suitable for target tracking applications.
Conference papers on the topic "Triangulation localization method"
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Zhang, Johan Xi, and Elias Parastates. "A novel method in passive localization: Synthetic Triangulation Beamformer." In OCEANS 2011. IEEE, 2011. http://dx.doi.org/10.23919/oceans.2011.6106926.
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Font, Josep M., and Joaquim A. Batlle. "Localization of a Mobile Robot With Omnidirectional Wheels Using Angular Kalman Filtering and Triangulation." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95412.
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Localization is one of the fundamental problems in mobile robot navigation. Several approaches to cope with the dynamic positioning problem have been made. Most of them use an extended Kalman filter (EKF) to estimate the robot pose — position and orientation — fusing both the robot odometry and external measurements. In this paper, an EKF is used to estimate the angles, relative to the robot frame, of the straight lines from a rotating laser scanner to a set of landmarks. By using this method angles are predicted, between actual laser measurements, by means of the time integration of its time derivative, which depends upon the robot kinematics. Once these angles are estimated, triangulation can be consistently applied at any time to determine the robot pose. In this work, a mobile robot with three omnidirectional wheels — that consist of two spherical rollers — is considered. Computer simulations showing the accuracy of this method are presented.
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Liu, Yingtao, Seung Bum Kim, Aditi Chattopadhyay, and Derek Doyle. "Damage Localization in Complex Composite Panels Using Guided Wave Based Structural Health Monitoring System." In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/smasis2011-5069.
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Knowledge of the damage location in composite structures is a necessary output for both Non-Destructive Evaluation (NDE) and Structural Health Monitoring (SHM). Although several damage localization approaches using a triangulation method and Time-of-Flight (ToF) of guided waves have been reported in literature, the damage localization technique is still not mature for composite structures with complex material properties, varying thickness and complex geometries. This paper investigates the development of a new approach for SHM and damage localization using a guided wave based active sensing system. In contrast to the traditional ellipse method, the proposed method does not require the information of structural thickness, ToF, or the estimation of group velocities of each guided wave mode at different propagation angles, which is one of the main limitations of most current ToF methodologies involving composites. This approach uses time-frequency analysis to calculate the difference of the ToF of the converted modes for each sensor signal. The damage location and the group velocity are obtained by solving a set of nonlinear equations. The proposed method can be used for composite structures with unknown lay-up and thickness. To validate the proposed method, experiments were conducted on both composite plates and stiffened composite panels. Eight piezoelectric (PZT) transducers were surface-bonded on each composite specimen and used in four pairs. The PZT transducers in each pair were bonded close to each other. In the PZT array, one PZT transducer from one PZT pair was used as the actuator and the other three pairs were used as sensors. A windowed cosine signal was used as the excitation signal. The locations of the delaminations in the composite specimens were validated using a flash thermography system. The accuracy of the proposed method in localizing delaminations was examined through comparison with the experimental measurements.
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Meza, Jhacson, Lenny Romero, and Andres Marrugo. "MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation." In LatinX in AI at Computer Vision and Pattern Recognition Conference 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai202106256.
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Despite the attention marker-less pose estimation has attracted in recent years, marker-based approaches still provide unbeatable accuracy under controlled environmental conditions. Thus, they are used in many fields such as robotics or biomedical applications but are primarily implemented through classical approaches, which require lots of heuristics and parameter tuning for reliable performance under different environments. In this work, we propose MarkerPose, a robust, real-time pose estimation system based on a planar target of three circles and a stereo vision system. MarkerPose is meant for high-accuracy pose estimation applications. Our method consists of two deep neural networks for marker point detection. A SuperPoint-like network for pixel-level accuracy keypoint localization and classification, and we introduce EllipSegNet, a lightweight ellipse segmentation network for sub-pixel-level accuracy keypoint detection. The marker’s pose is estimated through stereo triangulation. The target point detection is robust to low lighting and motion blur conditions. We compared MarkerPose with a detection method based on classical computer vision techniques using a robotic arm for validation. The results show our method provides better accuracy than the classical technique. Finally, we demonstrate the suitability of MarkerPose in a 3D freehand ultrasound system, which is an application where highly accurate pose estimation is required. Code is available in Python and C++ at https://github.com/jhacsonmeza/MarkerPose.
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Plusquellic, Jim, Dhruva Acharyya, Mohammad Tehranipoor, and Chintan Patel. "Triangulating to a Defect’s Physical Coordinates Using Multiple Supply Pad IDDQs—Test Chip Results." In ISTFA 2006. ASM International, 2006. http://dx.doi.org/10.31399/asm.cp.istfa2006p0036.
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Abstract Quiescent Signal Analysis (QSA) is an IDDQ method for detecting defects that is based on the analysis of multiple simultaneous measurements of supply port IDDQs. The nature of the information in the multiple IDDQs measurements also allows for the localization of the defect to physical coordinates in the chip. In previous work, we derived a hyperbola-based method from simulation experiments that is able to "triangulate" the position of the defect in the layout. In this paper, we evaluate the accuracy of this method using data collected from 12 chips fabricated in a 65 nm process.