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Relevant bibliographies by topics / Position localization

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Academic literature on the topic 'Position localization'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Position localization"

1

Phillips, Flip, James T. Todd, Jan J. Koenderink, and A. M. L. Kappers. "Perceptual localization of surface position." Journal of Experimental Psychology: Human Perception and Performance 23, no. 5 (1997): 1481–92. http://dx.doi.org/10.1037/0096-1523.23.5.1481.

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Au, Ricky, Fuminori Ono, and Katsumi Watanabe. "Retrospective perceptual distortion of position representation does not lead to delayed localization." Advances in Cognitive Psychology 9, no. 1 (2013): 20–31. http://dx.doi.org/10.5709/acp-0128-7.

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Xu, Jun, Maode Ma, and Choi Look Law. "Cooperative angle-of-arrival position localization." Measurement 59 (January 2015): 302–13. http://dx.doi.org/10.1016/j.measurement.2014.09.023.

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Lewald, Jörg, Gerd J. Dörrscheidt, and Walter H. Ehrenstein. "Sound localization with eccentric head position." Behavioural Brain Research 108, no. 2 (2000): 105–25. http://dx.doi.org/10.1016/s0166-4328(99)00141-2.

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Knott, P. A., J. Sindt, and J. A. Dunningham. "Detecting measurement-induced relative-position localization." Journal of Physics B: Atomic, Molecular and Optical Physics 46, no. 9 (2013): 095501. http://dx.doi.org/10.1088/0953-4075/46/9/095501.

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Kenmogne, Ide Flore, Vincent Drevelle, and Eric Marchand. "Cooperative Localization of Drones by using Interval Methods." Acta Cybernetica 24, no. 3 (2020): 557–72. http://dx.doi.org/10.14232/actacyb.24.3.2020.15.

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In this article we address the problem of cooperative pose estimation in a group of unmanned aerial vehicles (UAV) in a bounded error context. The UAVs are equipped with cameras to track landmarks positions, and a communication and ranging system to cooperate with their neighbours. Measurements are represented by intervals, and constraints are expressed on the robots poses (positions and orientations). Each robot of the group first computes a pose domain using only its sensors measurements using set inversion via interval analysis. Then, through position boxes exchange, positions are cooperati

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Lakes-Harlan, Reinhard, and Jan Scherberich. "Position-dependent hearing in three species of bushcrickets (Tettigoniidae, Orthoptera)." Royal Society Open Science 2, no. 6 (2015): 140473. http://dx.doi.org/10.1098/rsos.140473.

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A primary task of auditory systems is the localization of sound sources in space. Sound source localization in azimuth is usually based on temporal or intensity differences of sounds between the bilaterally arranged ears. In mammals, localization in elevation is possible by transfer functions at the ear, especially the pinnae. Although insects are able to locate sound sources, little attention is given to the mechanisms of acoustic orientation to elevated positions. Here we comparatively analyse the peripheral hearing thresholds of three species of bushcrickets in respect to sound source posit

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Zhao, Yongsheng, Dexiu Hu, Yongjun Zhao, Zhixin Liu, and Chuang Zhao. "Refining Inaccurate Transmitter and Receiver Positions Using Calibration Targets for Target Localization in Multi-Static Passive Radar." Sensors 19, no. 15 (2019): 3365. http://dx.doi.org/10.3390/s19153365.

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Transmitter and receiver position errors have been known to significantly deteriorate target localization accuracy in a multi-static passive radar (MPR) system. This paper explores the use of calibration targets, whose positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors. This paper firstly evaluates the Cramér–Rao lower bound (CRLB) for bistatic range (BR)-based target localization with calibration targets, which analytically indicates the potential of calibration targets in enhancing localization accuracy

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Rau, A. V. "Measurement-Induced Relative-Position Localization Through Entanglement." Science 301, no. 5636 (2003): 1081–84. http://dx.doi.org/10.1126/science.1084867.

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Vemula, Mahesh, Mónica F. Bugallo, and Petar M. Djurić. "Sensor self-localization with beacon position uncertainty." Signal Processing 89, no. 6 (2009): 1144–54. http://dx.doi.org/10.1016/j.sigpro.2008.12.019.

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Dissertations / Theses on the topic "Position localization"

1

Rau, Alexander V. "Relative-position localization." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403983.

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Chhatpar, Siddharth R. "Localization for Robotic Assemblies with Position Uncertainty." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1133555909.

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Yeluri, Sai Krishna. "Outdoor localization technique using landmarks to determine position and orientation." [Gainesville, Fla.]: University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000828.

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Thompson, Benton K. "Characterizing and Improving the Non-Collaborative and Collaborative Localization Problems." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34949.

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This thesis focuses on the least-squares formulation of the non-collaborative and collabo- rative position location problems. For the non-collaborative problem, characterization encompassing the number of minima and the causes thereof is provided. Based on these efforts, we propose an improvement to the existing modified parallel projection method (MPPM), the reflected parallel projection method (RPPM). We show that the global minimum to the non-collaborative objective function can nearly always be found using the non-optimal reflected parallel projection method (RPPM). For the collaborative

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Hassellöf, Daniel. "Position Determination using multiple wireless interfaces." Thesis, KTH, Kommunikationssystem, CoS, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91861.

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This Master’s thesis studies different ways of exploiting the signal strength measurements from wireless interfaces for position determination. Difficulties include handling the fluctuating observations and their sensitivity to obstruction. We list important factors to take into account before describing a new system based on location fingerprinting and capable of integrating observations from multiple wireless interfaces. Compared to typical fingerprinting solutions, the training time is an order of magnitude shorter, but the location resolution is limited to locations of particular interest.

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Castillo-Effen, Mauricio. "Cooperative localization in wireless networked systems." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002220.

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Venkatesh, Swaroop. "The Design and Modeling of Ultra-Wideband Position-Location Networks." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26322.

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Impulse-based Ultrawideband (UWB) is a form of signaling which uses streams of pulses of very short duration, typically on the order of a nanosecond. Impulse-based UWB systems possess the ability to fuse accurate position-location with low-data rate communication, and provide covertness for tactical applications and robustness in dense multipath propagation environments. These features can be leveraged in the design wireless ad hoc position-location networks (PoLoNets) for accurate location tracking and monitoring where GPS is not available, especially indoors. Location information is sequenti

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Morin, Russell Walter. "A Novel Localization System for Experimental Autonomous Underwater Vehicles." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/233.

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Localization is a classic and complex problem in the field of mobile robotics. It becomes particularly challenging in an aqueous environment because currents within the water can move the robot. A novel localization module and corresponding localization algorithm for experimental autonomous underwater vehicles is presented. Unlike other available positioning systems which require fixed hardware beacons, this custom built module relies only on information available from sensors on-board the vehicle and knowledge of its bounded domain. This allows the user to save valuable time which would other

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Deng, Kai. "DEVELOPMENT OF VIRTUAL 3D TACTILE DISPLAY BASED ON ELECTROMAGNETIC LOCALIZATION." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/195643.

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This dissertation describes the development of an assist-device aimed to deliver 3D graphic information to the visually impaired people. A human-in-loop approach was used to analyze whether a virtual 3D shape can be transferred correctly to the human users.The proposed device in this dissertation consists of two major parts: (a) A system of position sensors for real time localization based on magnetization, and (b) A single vibratory actuator working at varied frequencies based on its real time location. The error bound of the position measurement was tested to be 2 mm, which defined the machi

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Barry, Jeremy Jude. "Map Creation and Position Correction for an Off the Shelf Mobile Robotic System." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/33063.

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<p>Robots are widely used in domestic and commercial applications. These applications typically involve robots built for a specific the task, thus leading to efficiency in task completion. However, with the increase in completion efficiency comes an increase in the time required for completion of the whole system. Specific tasks create the need for many different robots, all with differing capabilities, causing an increase in development cost and time needed.<p> This raises the issue of whether using an off the shelf system with minor modifications can accurately perform the same tasks.

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Books on the topic "Position localization"

1

Kissel, Glen J. Localization in disordered periodic structures. AIAA, 1987.

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2

Forrest, R. N. Notes on search, detection and localization modeling. 2nd ed. Naval Postgraduate School, 1988.

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3

Eckstein, Miguel P. Analytic guided-search model of human performance accuracy in target-localization search tasks. National Aeronautics and Space Administration, Ames Research Center, 2000.

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4

Position location: Theory, practice and advances. Wiley-IEEE Press, 2011.

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5

Fernández-Madrigal, Juan-Antonio. Simultaneous localization and mapping for mobile robots: Introduction and methods. Information Science Reference, 2013.

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6

Hotta, S. Steven. p18sF-labeled 2-deoxy-2-fluoro-D-glucose positron-emission tomography scans for the localization of the epileptogenic foci. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1998.

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Hotta, S. Steven. p18sF-labeled 2-deoxy-2-fluoro-D-glucose positron-emission tomography scans for the localization of the epileptogenic foci. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1998.

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Hotta, S. Steven. p18sF-labeled 2-deoxy-2-fluoro-D-glucose positron-emission tomography scans for the localization of the epileptogenic foci. U.S. Dept. of Health and Human Services, Public Health Service, Agency for Health Care Policy and Research, 1998.

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9

Analytic guided-search model of human performance accuracy in target-localization search tasks. National Aeronautics and Space Administration, Ames Research Center, 2000.

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Analytic guided-search model of human performance accuracy in target-localization search tasks. National Aeronautics and Space Administration, Ames Research Center, 2000.

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Book chapters on the topic "Position localization"

1

Askarzadeh, Fardad, Yunxing Ye, Umair I. Khan, Ferit Ozan Akgul, Kaveh Pahlavan, and Sergey N. Makarov. "Computational Methods for Localization." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch5.

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2

So, H. C. "Source Localization: Algorithms and Analysis." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch2.

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3

Abdelkhalik, Ossama. "Implementation of Kalman Filter for Localization." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch19.

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4

Yang, Liuqing, and Huilin Xu. "Wireless Localization Using Ultra-Wideband Signals." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch8.

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5

Agrawal, Piyush, and Neal Patwari. "Kernel Methods for RSS-Based Indoor Localization." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch14.

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Xu, Wenjie, Zhonghai Wang, and Seyed A. Reza Zekavat. "An Introduction to NLOS Identification and Localization." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch16.

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Zekavat, Seyed A. Reza. "Channel Modeling and Its Impact on Localization." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch4.

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8

Shames, Iman, Barış Fidan, Brian D. O. Anderson, and Hatem Hmam. "Polynomial-Based Methods for Localization in Multiagent Systems." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch24.

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Chen, Yingying, Jie Yang, Wade Trappe, and Richard P. Martin. "Impact of Anchor Placement and Anchor Selection on Localization Accuracy." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch13.

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Savic, Vladimir, and Santiago Zazo. "Belief Propagation Techniques for Cooperative Localization in Wireless Sensor Networks." In Handbook of Position Location. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch25.

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Conference papers on the topic "Position localization"

1

Ergin, M. Onur, Vlado Handziski, and Adam Wolisz. "Grid-Based Position Discovery." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533836.

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2

Xu, Jun, Maode Ma, and Choi Look Law. "AOA Cooperative Position Localization." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.720.

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3

van der Merwe, J. Rossouw, Xabier Zubizarreta, Daniel Rubino, Alexander Rugamer, and Wolfgang Felber. "Position Solution Sensitivity for Snapshot Receivers." In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2020. http://dx.doi.org/10.1109/icl-gnss49876.2020.9115574.

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Sun, Yi, Huaming Wu, and Jochen Schiller. "A step length estimation model for position tracking." In 2015 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2015. http://dx.doi.org/10.1109/icl-gnss.2015.7217134.

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Gertner, I., and Y. Y. Zeevi. "Image representation with position-frequency localization." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.150786.

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Pan, Shilong, Dan Zhu, Jianbin Fu, and Tingfeng Yao. "Fiber-connected position localization sensor networks." In SPIE/COS Photonics Asia, edited by Ninghua Zhu and Werner H. Hofmann. SPIE, 2014. http://dx.doi.org/10.1117/12.2073593.

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Amin, M. Awais, and Sven Fischer. "Position location of LTE femtocells deployed in a cluster." In 2012 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2012. http://dx.doi.org/10.1109/icl-gnss.2012.6253105.

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Schwarzbach, Paul, Paula Tauscher, Albrecht Michler, and Oliver Michler. "V2X based Probabilistic Cooperative Position Estimation Applying GNSS Double Differences." In 2019 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2019. http://dx.doi.org/10.1109/icl-gnss.2019.8752742.

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Skoglund, Martin A., Gustaf Hendeby, Jonas Nygards, Jouni Rantakokko, and Gunnar Eriksson. "Indoor localization using multi-frequency RSS." In 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2016. http://dx.doi.org/10.1109/plans.2016.7479774.

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Elgui, Kevin, Pascal Bianchi, Olivier Isson, Francois Portier, and Renaud Marty. "Metric Learning for Fingerprint RSSI-Localization." In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2020. http://dx.doi.org/10.1109/plans46316.2020.9110145.

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Reports on the topic "Position localization"

1

Kwee, Sandi. Cancer Localization in the Prostate with F-18 Fluorocholine Positron Emission Tomography. Addendum. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada526599.

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