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Journal articles on the topic 'Error localisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

Wang, Mei, Nan Duan, Zou Zhou, et al. "Indoor PDR Positioning Assisted by Acoustic Source Localization, and Pedestrian Movement Behavior Recognition, Using a Dual-Microphone Smartphone." Wireless Communications and Mobile Computing 2021 (July 8, 2021): 1–16. http://dx.doi.org/10.1155/2021/9981802.

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In recent years, the public’s demand for location services has increased significantly. As outdoor positioning has matured, indoor positioning has become a focus area for researchers. Various indoor positioning methods have emerged. Pedestrian dead reckoning (PDR) has become a research hotspot since it does not require a positioning infrastructure. An integral equation is used in PDR positioning; thus, errors accumulate during long-term operation. To eliminate the accumulated errors in PDR localisation, this paper proposes a PDR localisation system applied to complex scenarios with multiple bu

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Buehner, Mark, and Anna Shlyaeva. "Scale-dependent background-error covariance localisation." Tellus A: Dynamic Meteorology and Oceanography 67, no. 1 (2015): 28027. http://dx.doi.org/10.3402/tellusa.v67.28027.

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Górak, Rafał, and Marcin Luckner. "Automatic Detection of Missing Access Points in Indoor Positioning System †." Sensors 18, no. 11 (2018): 3595. http://dx.doi.org/10.3390/s18113595.

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The paper presents a Wi-Fi-based indoor localisation system. It consists of two main parts, the localisation model and an Access Points (APs) detection module. The system uses a received signal strength (RSS) gathered by multiple mobile terminals to detect which AP should be included in the localisation model and whether the model needs to be updated (rebuilt). The rebuilding of the localisation model prevents the localisation system from a significant loss of accuracy. The proposed automatic detection of missing APs has a universal character and it can be applied to any Wi-Fi localisation mod

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LINDERHOLT, A., and T. ABRAHAMSSON. "PARAMETER IDENTIFIABILITY IN FINITE ELEMENT MODEL ERROR LOCALISATION." Mechanical Systems and Signal Processing 17, no. 3 (2003): 579–88. http://dx.doi.org/10.1006/mssp.2002.1522.

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Neuland, Renata, Mathias Mantelli, Bernardo Hummes, et al. "Robust Hybrid Interval-Probabilistic Approach for the Kidnapped Robot Problem." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 02 (2021): 313–31. http://dx.doi.org/10.1142/s0218488521500141.

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For a mobile robot to operate in its environment it is crucial to determine its position with respect to an external reference frame using noisy sensor readings. A scenario in which the robot is moved to another position during its operation without being told, known as the kidnapped robot problem, complicates global localisation. In addition to that, sensor malfunction and external influences of the environment can cause unexpected errors, called outliers, that negatively affect the localisation process. This paper proposes a method based on the fusion of a particle filter with bounded-error

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Yang, Jingdong, Jinghui Yang, and Zesu Cai. "An efficient approach to pose tracking based on odometric error modelling for mobile robots." Robotica 33, no. 6 (2014): 1231–49. http://dx.doi.org/10.1017/s0263574714000654.

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SUMMARYOdometric error modelling for mobile robots is the basis of pose tracking. Without bounds the odometric accumulative error decreases localisation precision after long-range movement, which is often not capable of being compensated for in real time. Therefore, an efficient approach to odometric error modelling is proposed in regard to different drive type mobile robots. This method presents a hypothesis that the motion path approximates a circular arc. The approximate functional expressions between the control input of odometry and non-systematic error as well as systematic error derived

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De Vos, Maarten, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, and W. Van Paesschen. "Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study." Computational Intelligence and Neuroscience 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/58253.

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Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the ictal onset zones. In this paper, we introduce a new concept for an automatic, fast, and objective localisation of the ictal onset zone in ictal EEG recordings. Canonical decomposition of ictal EEG decomposes the EEG in atoms. One or more atoms are related to the seizure activity. A single dipole was then fitted to model the potential distribution of each epileptic atom. In this study, we performed a simulation study in order to estimate the d

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Shi, Hongchi, Xiaoli Li, Yi Shang, and Dianfu Ma. "Error analysis of quantised RSSI based sensor network localisation." International Journal of Wireless and Mobile Computing 4, no. 1 (2010): 31. http://dx.doi.org/10.1504/ijwmc.2010.030973.

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Sabra, Adham, and Wai-Keung Fung. "A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms." Sensors 20, no. 19 (2020): 5496. http://dx.doi.org/10.3390/s20195496.

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This article proposes a holistic localisation framework for underwater robotic swarms to dynamically fuse multiple position estimates of an autonomous underwater vehicle while using fuzzy decision support system. A number of underwater localisation methods have been proposed in the literature for wireless sensor networks. The proposed navigation framework harnesses the established localisation methods in order to provide navigation aids in the absence of acoustic exteroceptive sensors navigation aid (i.e., ultra-short base line) and it can be extended to accommodate newly developed localisatio

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Friebel, Björn, Michael Schweins, Nils Dreyer, and Thomas Kürner. "Simulation of GPS localisation based on ray tracing." Advances in Radio Science 19 (December 17, 2021): 85–92. http://dx.doi.org/10.5194/ars-19-85-2021.

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Abstract. In recent years, many simulation tools emerged to model the communication of connected vehicles. Thereby, the focus was put on channel modelling, applications or protocols while the localisation due to satellite navigation systems was treated as perfect. The effect of inaccurate positioning, however, was neglected so far. This paper presents an approach to extend an existing simulation framework for radio networks to estimate the localisation accuracy by navigation systems like GPS, GLONASS or Galileo. Therefore the error due multipath components is calculated by ray optical path los

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Jose, Diniya, and Shoney Sebastian. "Taylor series method in TDOA approach for indoor positioning system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3927. http://dx.doi.org/10.11591/ijece.v9i5.pp3927-3933.

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Localisation technologies have always remained in the limelight of positioning-science as researchers have ever shown keen interest to know the exact positions of things. Ultrasonic sensors are mainly used for localisation of mobile robots since they provide high accuracy. This paper presents Taylor Series Method in Time Difference of Arrival approach using ultrasonic sensors.Signals are send from the sensors periodically.The time difference of arrival of signals from the ultrasonic sensors is used by the receiver unit to estimate the location of the mobile unit. The equations formed by using

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James, Jithin, Graham Clarke, Robins Mathew, Brian Mulkeen, and Nikolaos Papakostas. "On Reducing the Localisation Error of Modern Mobile Robotic Platforms." Procedia CIRP 112 (2022): 168–73. http://dx.doi.org/10.1016/j.procir.2022.09.067.

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Sterken, Yvonne, Alexander Toet, and Yen-Lee Yap. "Factors Limiting Large-Scale Localisation." Perception 23, no. 6 (1994): 709–26. http://dx.doi.org/10.1068/p230709.

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The mechanisms mediating relative spatial localisation in the visual system are still unclear. There is a growing amount of evidence that this capability is not merely limited by the processing of the front-end visual system. Models of localisation should, therefore, include higher-level processing stages. A careful study of the sources of error in localisation tasks may further our understanding of the nature of these processes. A study is reported in which the possible role of higher-order processing in relative spatial localisation is explicitly addressed. For this purpose the error sources

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Kolakowski, Marcin. "Automated Calibration of RSS Fingerprinting Based Systems Using a Mobile Robot and Machine Learning." Sensors 21, no. 18 (2021): 6270. http://dx.doi.org/10.3390/s21186270.

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This paper describes an automated method for the calibration of RSS-fingerprinting-based positioning systems. The method assumes using a robotic platform to gather fingerprints in the system environment and using them for training machine learning models. The obtained models are used for positioning purposes during the system operation. The presented calibration method covers all steps of the system calibration, from mapping the system environment using a GraphSLAM based algorithm to training models for radio map calibration. The study analyses four different models: fitting a log-distance pat

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Tissier, Ann-Sophie, Jean-Michel Brankart, Charles-Emmanuel Testut, Giovanni Ruggiero, Emmanuel Cosme, and Pierre Brasseur. "A multiscale ocean data assimilation approach combining spatial and spectral localisation." Ocean Science 15, no. 2 (2019): 443–57. http://dx.doi.org/10.5194/os-15-443-2019.

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Abstract. Ocean data assimilation systems encompass a wide range of scales that are difficult to control simultaneously using partial observation networks. All scales are not observable by all observation systems, which is not easily taken into account in current ocean operational systems. The main reason for this difficulty is that the error covariance matrices are usually assumed to be local (e.g. using a localisation algorithm in ensemble data assimilation systems), so that the large-scale patterns are removed from the error statistics. To better exploit the observational information availa

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Zhong, Lijia, Dejun Li, Mingwei Lin, Ri Lin, and Canjun Yang. "A Fast Binocular Localisation Method for AUV Docking." Sensors 19, no. 7 (2019): 1735. http://dx.doi.org/10.3390/s19071735.

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Docking technology plays a critical role in realising the long-time operation of autonomous underwater vehicles (AUVs). In this study, a binocular localisation method for AUV docking is presented. An adaptively weighted OTSU method is developed for feature extraction. The foreground object is extracted precisely without mixing or missing lamps, which is independent of the position of the AUV relative to the station. Moreover, this extraction process is more precise compared to other segmentation methods with a low computational load. The mass centre of each lamp on the binary image is used as

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Lladó, Pedro, Petteri Hyvärinen, and Ville Pulkki. "Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation." Acta Acustica 6 (2022): 1. http://dx.doi.org/10.1051/aacus/2021056.

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Auditory localisation accuracy may be degraded when a head-worn device (HWD), such as a helmet or hearing protector, is used. A computational method is proposed in this study for estimating how horizontal plane localisation is impaired by a HWD through distortions of interaural cues. Head-related impulse responses (HRIRs) of different HWDs were measured with a KEMAR and a binaural auditory model was used to compute interaural cues from HRIR-convolved noise bursts. A shallow neural network (NN) was trained with data from a subjective listening experiment, where horizontal plane localisation was

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Górak, Rafał, Marcin Luckner, Michał Okulewicz, Joanna Porter-Sobieraj, and Piotr Wawrzyniak. "Indoor Localisation Based on GSM Signals: Multistorey Building Study." Mobile Information Systems 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/2719576.

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Among the accurate indoor localisation systems that are using WiFi, Bluetooth, or infrared technologies, the ones that are based on the GSM rely on a stable external infrastructure that can be used even in an emergency. This paper presents an accurate GSM indoor localisation system that achieves a median error of 4.39 metres in horizontal coordinates and up to 64 percent accuracy in floor prediction (for 84 percent of cases the floor prediction is mistaken by not more than a single floor). The test and reference measurements were made inside a six-floor academic building, with an irregular sha

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Ros, Montserrat, Joshua Boom, Gavin de Hosson, and Matthew D'Souza. "Indoor Localisation Using a Context-Aware Dynamic Position Tracking Model." International Journal of Navigation and Observation 2012 (February 13, 2012): 1–12. http://dx.doi.org/10.1155/2012/293048.

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Indoor wireless localisation is a widely sought feature for use in logistics, health, and social networking applications. Low-powered localisation will become important for the next generation of pervasive media applications that operate on mobile platforms. We present an inexpensive and robust context-aware tracking system that can track the position of users in an indoor environment, using a wireless smart meter network. Our context-aware tracking system combines wireless trilateration with a dynamic position tracking model and a probability density map to estimate indoor positions. The loca

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Su, Ching‐Yao, and Jar‐Ferr Yang. "A robust two‐stage face recognition system with localisation error compensation." IET Computer Vision 8, no. 6 (2014): 690–700. http://dx.doi.org/10.1049/iet-cvi.2013.0281.

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Zheng, Jianying, Yu e. Sun, Yan Huang, Yiming Wang, and Yang Xiao. "Error analysis of range-based localisation algorithms in wireless sensor networks." International Journal of Sensor Networks 12, no. 2 (2012): 78. http://dx.doi.org/10.1504/ijsnet.2012.050074.

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Sivakumar, S., R. Venkatesan, and M. Karthiga. "Evolutionary approaches for minimising error in localisation of wireless sensor networks." International Journal of Sensor Networks 17, no. 1 (2015): 17. http://dx.doi.org/10.1504/ijsnet.2015.067587.

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Tholen, Christoph, Tarek A. El-Mihoub, Lars Nolle, and Oliver Zielinski. "Artificial Intelligence Search Strategies for Autonomous Underwater Vehicles Applied for Submarine Groundwater Discharge Site Investigation." Journal of Marine Science and Engineering 10, no. 1 (2021): 7. http://dx.doi.org/10.3390/jmse10010007.

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In this study, a set of different search strategies for locating submarine groundwater discharge (SGD) are investigated. This set includes pre-defined path planning (PPP), adapted random walk (RW), particle swarm optimisation (PSO), inertia Levy-flight (ILF), self-organising-migration-algorithm (SOMA), and bumblebee search algorithm (BB). The influences of self-localisation and communication errors and limited travel distance of the autonomous underwater vehicles (AUVs) on the performance of the proposed algorithms are investigated. This study shows that the proposed search strategies could no

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Yang, Manman, Leijian Yu, Cuebong Wong, et al. "A cooperative mobile robot and manipulator system (Co-MRMS) for transport and lay-up of fibre plies in modern composite material manufacture." International Journal of Advanced Manufacturing Technology 119, no. 1-2 (2021): 1249–65. http://dx.doi.org/10.1007/s00170-021-08342-2.

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AbstractComposite materials are widely used in industry due to their light weight and specific performance. Currently, composite manufacturing mainly relies on manual labour and individual skills, especially in transport and lay-up processes, which are time consuming and prone to errors. As part of a preliminary investigation into the feasibility of deploying autonomous robotics for composite manufacturing, this paper presents a case study that investigates a cooperative mobile robot and manipulator system (Co-MRMS) for material transport and composite lay-up, which mainly comprises a mobile r

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García Daza, Iván, Mónica Rentero, Carlota Salinas Maldonado, et al. "Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles." Sensors 20, no. 15 (2020): 4097. http://dx.doi.org/10.3390/s20154097.

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Autonomous driving systems are set to become a reality in transport systems and, so, maximum acceptance is being sought among users. Currently, the most advanced architectures require driver intervention when functional system failures or critical sensor operations take place, presenting problems related to driver state, distractions, fatigue, and other factors that prevent safe control. Therefore, this work presents a redundant, accurate, robust, and scalable LiDAR odometry system with fail-aware system features that can allow other systems to perform a safe stop manoeuvre without driver medi

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Luckner, Marcin, and Rafał Górak. "Automatic Detection of Changes in Signal Strength Characteristics in a Wi-Fi Network for an Indoor Localisation System." Sensors 20, no. 7 (2020): 1828. http://dx.doi.org/10.3390/s20071828.

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This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an estimator of RSS using the readings from other APs. Using an optimal threshold, the algorithm recognises an AP that has changed its characteristics. Next, the system rebuilds the localisation model excluding the changed AP to keep QoS. For the tests, we simulated a change in the analysed Wi-Fi network by replacing the measured RSS by an RSS ob

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Papliatseyeu, Andrei, Venet Osmani, and Oscar Mayora. "Indoor Positioning Using FM Radio." International Journal of Handheld Computing Research 1, no. 3 (2010): 19–31. http://dx.doi.org/10.4018/jhcr.2010070102.

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This paper presents an indoor positioning system based on FM radio. The system is built on commercially available short-range FM transmitters. This is the first experimental study of FM performance for indoor localisation. FM radio possesses a number of features, which make it distinct from other localisation technologies. Despite the low cost and off-the-shelf components, this FM positioning system reaches a high performance, comparable to other positioning technologies such as Wi-Fi. The authors’ experiments have yielded a median accuracy of 1.0 m and in 95% of cases the error is below 5 m.

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Mamun, Md Abdulla Al, David Vera Anaya, Fan Wu, and Mehmet Rasit Yuce. "Landmark-Assisted Compensation of User’s Body Shadowing on RSSI for Improved Indoor Localisation with Chest-Mounted Wearable Device." Sensors 21, no. 16 (2021): 5405. http://dx.doi.org/10.3390/s21165405.

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Nowadays, location awareness becomes the key to numerous Internet of Things (IoT) applications. Among the various methods for indoor localisation, received signal strength indicator (RSSI)-based fingerprinting attracts massive attention. However, the RSSI fingerprinting method is susceptible to lower accuracies because of the disturbance triggered by various factors from the indoors that influence the link quality of radio signals. Localisation using body-mounted wearable devices introduces an additional source of error when calculating the RSSI, leading to the deterioration of localisation pe

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McLoughlin, Benjamin, Harry Pointon, John McLoughlin, Andy Shaw, and Frederic Bezombes. "Uncertainty Characterisation of Mobile Robot Localisation Techniques using Optical Surveying Grade Instruments." Sensors 18, no. 7 (2018): 2274. http://dx.doi.org/10.3390/s18072274.

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Recent developments in localisation systems for autonomous robotic technology have been a driving factor in the deployment of robots in a wide variety of environments. Estimating sensor measurement noise is an essential factor when producing uncertainty models for state-of-the-art robotic positioning systems. In this paper, a surveying grade optical instrument in the form of a Trimble S7 Robotic Total Station is utilised to dynamically characterise the error of positioning sensors of a ground based unmanned robot. The error characteristics are used as inputs into the construction of a Localisa

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Zhang, Q., and G. Lallement. "Dominant error localisation in a finite element model of a mechanical structure." Mechanical Systems and Signal Processing 1, no. 2 (1987): 141–49. http://dx.doi.org/10.1016/0888-3270(87)90067-7.

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Kotiyal, Vaibhav, Abhilash Singh, Sandeep Sharma, Jaiprakash Nagar, and Cheng-Chi Lee. "ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks." Sensors 21, no. 11 (2021): 3576. http://dx.doi.org/10.3390/s21113576.

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Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A sensor in WSNs senses, processes and transmits the sensed information simultaneously. Along with the sensed information, it is crucial to have the positional information associated with the information source. A promising method to localise these randomly deployed sensors is to use bio-inspired meta-heuristic algorithms. In this way, a node localisation problem is converted to an optimisation problem. Afterwards, the optimisation problem is solved for an optimal solution by minimising the errors. Various b

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Jiang, Wuyang, Ling Pei, Changqing Xu, Liang Chen, and Wenxian Yu. "Two-stage Localisation Scheme Using a Small-scale Linear Microphone Array for Indoor Environments." Journal of Navigation 68, no. 5 (2015): 915–36. http://dx.doi.org/10.1017/s0373463315000107.

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The small-scale linear microphone arrays that are widely found in smartphones could be used to locate a sound source for indoor environments. After the Time Differences Of Arrival (TDOAs) in microphone pairs are estimated, a TDOA-based hybrid localisation scheme is proposed for a small-scale linear microphone array. The scheme contains two stages: the initialisation stage using the Levenberg-Marquardt (LM) algorithm, and the refining solution stage using the Weighted Least-Square (WLS) algorithm or the Multi-Dimensional Scaling-based (MDS) algorithm. Simulations and field tests show that the p

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Blocher, Caroline, Filippo Pecci, and Ivan Stoianov. "Prior Assumptions for Leak Localisation in Water Distribution Networks with Uncertainties." Water Resources Management 35, no. 15 (2021): 5105–18. http://dx.doi.org/10.1007/s11269-021-02988-z.

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AbstractHydraulic model-based leak (burst) localisation in water distribution networks is a challenging problem due to a limited number of hydraulic measurements, a wide range of leak properties, and model and data uncertainties. In this study, prior assumptions are investigated to improve the leak localisation in the presence of uncertainties. For example, $$\ell _2$$ ℓ 2 -regularisation relies on the assumption that the Euclidean norm of the leak coefficient vector should be minimised. This approach is compared with a method based on the sensitivity matrix, which assumes the existence of onl

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Cvetkova, Jelizaveta, Agnella Craig, Theresa O’Donovan, and Laura Mullaney. "Set-up variation in palliative radiotherapy: one versus three skin localisation marks." Journal of Radiotherapy in Practice 19, no. 3 (2019): 206–9. http://dx.doi.org/10.1017/s1460396919000748.

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AbstractBackground:Accuracy and reproducibility of the patient’s position is crucial for successful delivery of radiotherapy (RT). Data on palliative patients’ set-up uncertainties are sparse. The aim of this study was to calculate set-up errors observed for palliative patients positioned using one skin mark (Group 1) versus three skin marks (Group 2) and to assess the accuracy of both approaches.Methods:Displacements in the left–right (L–R) and superior–inferior (S–I) directions were retrospectively analysed for 175 sites treated with a course of fractionated palliative RT. Population mean, s

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Yu, Yue, Ruizhi Chen, Zuoya Liu, Guangyi Guo, Feng Ye, and Liang Chen. "Wi-Fi Fine Time Measurement: Data Analysis and Processing for Indoor Localisation." Journal of Navigation 73, no. 5 (2020): 1106–28. http://dx.doi.org/10.1017/s0373463320000193.

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Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Wi-Fi based indoor localisation has become attractive due to its extensive distribution and low cost properties. IEEE 802.11-2016 now includes a Wi-Fi Fine Time Measurement (FTM) protocol which can be used for Wi-Fi ranging between intelligent terminal and Wi-Fi access point. This paper introduces a framework of Wi-Fi FTM data acquisition and processing that can be used for indoor localisation. We analyse the main factors that affect the accuracy of Wi-Fi ranging and pro

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Acharya, Debaditya, Sesa Singha Roy, Kourosh Khoshelham, and Stephan Winter. "A Recurrent Deep Network for Estimating the Pose of Real Indoor Images from Synthetic Image Sequences." Sensors 20, no. 19 (2020): 5492. http://dx.doi.org/10.3390/s20195492.

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Recently, deep convolutional neural networks (CNN) have become popular for indoor visual localisation, where the networks learn to regress the camera pose from images directly. However, these approaches perform a 3D image-based reconstruction of the indoor spaces beforehand to determine camera poses, which is a challenge for large indoor spaces. Synthetic images derived from 3D indoor models have been used to eliminate the requirement of 3D reconstruction. A limitation of the approach is the low accuracy that occurs as a result of estimating the pose of each image frame independently. In this

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Liu, Yangyang, Baowang Lian, Lin Zhang, and Taoyun Zhou. "Gaussian Message Passing-Based Cooperative Localisation with Bootstrap Percolation Scheme in Dense Networks." Journal of Navigation 72, no. 5 (2019): 1275–96. http://dx.doi.org/10.1017/s0373463319000171.

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In dense networks, the tremendous computational complexity and communication overhead of cooperative localisation are the two main bottlenecks that limit practical application. In this study, we introduce a bootstrap percolation scheme into Gaussian message passing-based cooperative localisation for precise positioning, aimed at reducing the system overhead. Considering the uncertainty information and geometric distribution of neighbours, an approximate collinear detection criterion is proposed to detect the possible flip ambiguities in cooperative localisation. According to the detection resu

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Jin, Zhenlu, Xuezhi Wang, Bill Moran, Quan Pan, and Chunhui Zhao. "Multi-Region Scene Matching Based Localisation for Autonomous Vision Navigation of UAVs." Journal of Navigation 69, no. 6 (2016): 1215–33. http://dx.doi.org/10.1017/s0373463316000187.

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A multi-region scene matching-based localisation system for automated navigation of Unmanned Aerial Vehicles (UAV) is proposed. This system may serve as a backup navigation error correction system to support autonomous navigation in the absence of a global positioning system such as a Global Navigation Satellite System. Conceptually, the system computes the location of the UAV by comparing the sensed images taken by an on board optical camera with a library of pre-recorded geo-referenced images. Several challenging issues in building such a system are addressed, including the colour variabilit

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Moutinho, João, Diamantino Freitas, and Rui Esteves Araújo. "Indoor Global Localisation in Anchor-based Systems using Audio Signals." Journal of Navigation 69, no. 5 (2016): 1024–40. http://dx.doi.org/10.1017/s0373463315001095.

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This paper presents a method that allows mobile devices to be globally self-localised in indoor localisation systems by transmitting to them data from position reference anchors. The objective is to establish a reliable one-way down-link communication through signals used in the localisation process in a typically strong fading and multipath channel environment. This is accomplished by using signal processing techniques, including coding and forward error correction, to transmit data using a specific transmission control protocol. Experimental results, using audio as the signal between anchors

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Li, Meng, and Ratnesh Kumar. "Automated test generation and error localisation for Simulink/Stateflow modelled systems using extended automata." IET Cyber-Physical Systems: Theory & Applications 1, no. 1 (2016): 95–107. http://dx.doi.org/10.1049/iet-cps.2016.0024.

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Rataj, V., J. Galambošová, and M. Vašek. "Determining the guidance system accuracy with the support of a large GNSS dataset." Research in Agricultural Engineering 59, Special Issue (2013): S65—S70. http://dx.doi.org/10.17221/60/2012-rae.

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Several methods are used presently to assess the accuracy of machinery guidance systems. However, these offer a limited number of records and are time and cost consuming. As the machinery is often equipped with a monitoring system for the management purposes, these data can be used. The aim of this work was to develop and verify a method to determine the accuracy of the machinery guidance systems based on a large dataset obtained from the machinery monitoring system. The proposed method uses the transformation of global navigation satellite systems (GNSS) data into a rectangular coordinate sys

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Groves, Keir, Andrew West, Konrad Gornicki, Simon Watson, Joaquin Carrasco, and Barry Lennox. "MallARD: An Autonomous Aquatic Surface Vehicle for Inspection and Monitoring of Wet Nuclear Storage Facilities." Robotics 8, no. 2 (2019): 47. http://dx.doi.org/10.3390/robotics8020047.

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Inspection and monitoring of wet nuclear storage facilities such as spent fuel pools or wet silos is performed for a variety of reasons, including nuclear security and characterisation of storage facilities prior to decommissioning. Until now such tasks have been performed by personnel or, if the risk to health is too high, avoided. Tasks are often repetitive, time-consuming and potentially dangerous, making them suited to being performed by an autonomous robot. Previous autonomous surface vehicles (ASVs) have been designed for operation in natural outdoor environments and lack the localisatio

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Ostřížek, František, and Oldřich Trenz. "Data Measurements and Its Uses for the Autonomous System." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66, no. 6 (2018): 1581–87. http://dx.doi.org/10.11118/actaun201866061581.

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This article describes the problematic area of UAV (Unmanned Aerial Vehicle). This device can be used to communicate with corporate IS and other devices, calculation of localisation, mapping of new places which covered with Wi‑Fi technology and many others purposes. Nowadays, trends in the solution of driving and maintenance describe precise localisation. The fundamental error of GPS while using it inside buildings is enormous, and for this reason, we were trying to use infrastructure based on 802.11 a/b/g/n. It takes a focus on the part of measuring of signals and the ability of Wi‑Fi signals

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Rajan, Vishnu Arun Kumar Thumatty, Arjun Nagendran, Abbas Dehghani-Sanij, and Robert C. Richardson. "Tether monitoring for entanglement detection, disentanglement and localisation of autonomous robots." Robotica 34, no. 3 (2014): 527–48. http://dx.doi.org/10.1017/s0263574714001623.

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SUMMARYTethered mobile robots are ideal for electrically noisy environments and for time-consuming tasks that require robust data communication and uninterrupted power delivery. However, tethers may become entangled in cluttered environments, leading to immobilisation and consequent mission failure. This work addresses real-time monitoring of tethers to detect tether entanglement, perform disentanglement through tether following and localise within line of sight. Experimental hardware is proposed to implement the tether monitoring techniques. Experiments are performed for single and dual mobil

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Ferreira, C., Manuel François, and Ronald Guillén. "Residual Stress Error Introduced by Truncated Patterns: Prediction and Correction." Materials Science Forum 490-491 (July 2005): 171–76. http://dx.doi.org/10.4028/www.scientific.net/msf.490-491.171.

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The truncation of diffraction patterns in residual stress determination is often observed for broadened peaks when the 2θ acquisition range is not wide enough. The loss of information effects induced can either be traduced by a bad estimation of the background line, for the methods including a background subtraction, or a restriction of the analysis area for the others. In that borderline case, the results obtained by all methods with theirs specific parameters, developed to estimate the peak localisation are rather distributed in a wide range of stress values. In this paper we propose to revi

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Manser-Smith, Kelda, Daniele Romano, Luigi Tamè, and Matthew R. Longo. "Fingers hold spatial information that toes do not." Quarterly Journal of Experimental Psychology 74, no. 1 (2020): 95–105. http://dx.doi.org/10.1177/1747021820960094.

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Fingers have preferential associations with relative spatial locations. Tactile localisation is faster when the fingers are in these locations, such as when the index finger is in a relatively higher spatial position, and the thumb in a relatively lower position. However, it is unclear whether these associations are related to hands specifically, or are a more general characteristic of limbs. The present study therefore investigated whether toes have similar spatial associations. If these associations reflect the statistics of natural limb usage, very different patterns of association would be

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Marx, Christian. "The western coast of Africa in Ptolemy'sGeographyand the location of his prime meridian." History of Geo- and Space Sciences 7, no. 1 (2016): 27–52. http://dx.doi.org/10.5194/hgss-7-27-2016.

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Abstract. A controversial question concerning ancient geography is the location of the prime meridian which underlies the position data in Ptolemy's Geography and runs through the Fortunate Islands. An answer to this question is derived by means of a localisation of the places given by Ptolemy at the African western coast, i.e. in Mauritania Tingitana and Libya Interior, whose modern identifications are often uncertain or unknown. The origination of Ptolemy's positions from the distance data of seafarings is considered. A comparison of his data with distances reported by Pliny yields a satisfa

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Durrant, Aiden, Georgios Leontidis, and Stefanos Kollias. "3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection." EPJ Nuclear Sciences & Technologies 5 (2019): 20. http://dx.doi.org/10.1051/epjn/2019047.

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With Europe's ageing fleet of nuclear reactors operating closer to their safety limits, the monitoring of such reactors through complex models has become of great interest to maintain a high level of availability and safety. Therefore, we propose an extended Deep Learning framework as part of the CORTEX Horizon 2020 EU project for the unfolding of reactor transfer functions from induced neutron noise sources. The unfolding allows for the identification and localisation of reactor core perturbation sources from neutron detector readings in Pressurised Water Reactors. A 3D Convolutional Neural N

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Puvitha, Harriet, Saravanan Palani, V. Vijayakumar, Logesh Ravi, and V. Subramaniyaswamy. "Investigation of multi-objective optimisation techniques to minimise the localisation error in wireless sensor networks." International Journal of Grid and Utility Computing 12, no. 1 (2021): 33. http://dx.doi.org/10.1504/ijguc.2021.112459.

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Sabokrou, M., M. Fathy, and M. Hoseini. "Video anomaly detection and localisation based on the sparsity and reconstruction error of auto‐encoder." Electronics Letters 52, no. 13 (2016): 1122–24. http://dx.doi.org/10.1049/el.2016.0440.

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