Wed, 20 Aug 2008 21:17:17 BST CiteULike: maxp's library [65 articles] http://www.citeulike.org/user/maxp CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/maxp/article/2447705 <i>(2002)</i><br /><br />Particle filter methods are complex inference procedures, which combine importance sampling and Monte Carlo schemes, in order to consistently explore a sequence of multiple distributions of interest. The purpose of this article is to show that such methods can also offer an efficient estimation tool in "static" setups; in this case, &pi;(&theta;|y_1, ..., y_N) is the only posterior distribution of interest but the preliminary exploration of partial posteriors &pi;(&theta;|y_1, ..., y_N) (n < N) ... A sequential particle filter method for static models N Chopin (2002) 2008-02-29T13:43:56-00:00 2002 bayesian filter particle http://www.citeulike.org/user/maxp/article/2113734 <i>Mobile Adhoc and Sensor Systems (MASS), 2006 IEEE International Conference on (2006), pp. 326-335.</i><br /><br />In sensor localization, ultrasound based distance measurements will have large errors if line-of-sight paths are blocked between pairwise sensors. Because these outliers, once mixed together with other correct distance measurements, are difficult for localization algorithms to identify, we propose to exclude the outliers in the first step of distance measurement. Although the distance between pairwise sensors measured by ultrasound can have multiple values due to the multipath effect, our experiments find that a sensor's incorrect position, estimated from the distance measurement along a reflected path instead of a straight line, is always mirrored to the sensor's correct position. Based on this phenomena, we propose to use mobile beacons to measure the distance between pairwise sensors from multiple perspectives and filter incorrect values through a statistical approach. Our performance evaluation shows that the proposed algorithm can achieve better localization results than previous approaches in an indoor environment where multipath effects cannot be avoided Virtual Ruler: Mobile Beacon Based Distance Measurements for Indoor Sensor Localization Chen Wang Yong Ding Li Xiao Mobile Adhoc and Sensor Systems (MASS), 2006 IEEE International Conference on (2006), pp. 326-335. 2007-12-14T13:51:00-00:00 2006 Mobile Adhoc and Sensor Systems (MASS), 2006 IEEE International Conference on 326 335 indoor localization multipath ultrasound http://www.citeulike.org/user/maxp/article/2099293 <i>Pervasive Health Conference and Workshops, 2006 (2006), pp. 1-6.</i><br /><br />As indoor localization technologies become more affordable and sophisticated. An emerging market has yet to be realized commercially in the indoor environment. We think that the first adopter will arise from the healthcare domain where the need is the most critical. Thus, we aim to implement a set of location-aware services to assist in the management of the emergency department. We apply NTU Taroko, an active RFID module for to real time location tracking on patients, hospital assets, and medical staffs. In addition, we integrate context-aware system proactively to infer event notifications for reminding physicians and nurses. With the proposed system, we can shorten the process of emergency visit effectively and improve the quality of emergency care Emergency Care Management with Location-Aware Services Shih-Wei Lee Shao-You Cheng Jane Hsu Polly Huang Chuang-Wen You Pervasive Health Conference and Workshops, 2006 (2006), pp. 1-6. 2007-12-12T15:36:54-00:00 2006 Pervasive Health Conference and Workshops, 2006 1 6 awareness context healthcare location http://www.citeulike.org/user/maxp/article/2061660 <i>(2004)</i> Probabilistische Zustandsschätzung und Aktionsauswahl im Rechnersehen Joachim Denzler (2004) 2007-12-05T15:08:31-00:00 2004 Logos mcl probabilistic http://www.citeulike.org/user/maxp/article/844476 <i>No. TR2000-381. (November 2000)</i><br /><br />Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information (such as user location, time of day, nearby people and devices, and user activity). Since it was proposed about a decade ago, many researchers have studied this topic and built several context-aware applications to demonstrate the usefulness of this new technology. Context-aware applications (or the system infrastructure to support them), however, have never... A Survey of Context-Aware Mobile Computing Research Guanling Chen David Kotz No. TR2000-381. (November 2000) 2006-09-15T08:40:00-00:00 2000 TR2000-381 gps lbs location survey http://www.citeulike.org/user/maxp/article/238899 <i>SIGecom Exch., Vol. 3, No. 4. (2003), pp. 19-27.</i> A taxonomy of indoor and outdoor positioning techniques for mobile location services Vasileios Zeimpekis George Giaglis George Lekakos doi:10.1145/844351.844355 SIGecom Exch., Vol. 3, No. 4. (2003), pp. 19-27. 2005-06-27T18:17:07-00:00 2003 SIGecom Exch. 3 4 19 27 ACM Press coo indoor outdoor positioning triangulation http://www.citeulike.org/user/maxp/article/812897 <i>(2000), pp. 775-784.</i><br /><br />The proliferation of mobile computing devices and local-area wireless networks has fostered a growing interest in location-aware systems and services. In this paper we present RADAR, a radio-frequency (RF) based system for locating and tracking users inside buildings. RADAR operates by recording and processing signal strength information at multiple base stations positioned to provide overlapping coverage in the area of interest. It combines empirical measurements with signal propagation... RADAR: An In-Building RF-Based User Location and Tracking System Paramvir Bahl Venkata Padmanabhan (2000), pp. 775-784. 2006-08-22T17:57:09-00:00 2000 775 784 localization location rf tracking http://www.citeulike.org/user/maxp/article/1237491 <i>(2000)</i><br /><br />We address the problem of locating users inside buildings using a radio-frequency (RF) wireless LAN. A previous paper presented the basic design and a limited evaluation of a user-location system we have developed. In this paper, we analyze shortcomings of the basic system, and develop and evaluate solutions to address these shortcomings. Additionally, we describe several new enhancements, including a novel access point-based environmental profiling scheme, and a Viterbi-like algorithm for... Enhancements to the RADAR User Location and Tracking System P Bahl A Balachandran V Padmanabhan (2000) 2007-04-19T18:58:17-00:00 2000 fingerprint indoor localization location rf rss signal strength wifi wlan http://www.citeulike.org/user/maxp/article/423605 <i>(2004), pp. 190-202.</i> Tracking moving devices with the cricket location system Adam Smith Hari Balakrishnan Michel Goraczko Nissanka Priyantha doi:10.1145/990064.990088 (2004), pp. 190-202. 2005-12-06T20:06:47-00:00 2004 190 202 ACM Press indoor localization location rf ultrasound http://www.citeulike.org/user/maxp/article/275098 <i>(2000), pp. 32-43.</i> The Cricket location-support system Nissanka Priyantha Anit Chakraborty Hari Balakrishnan doi:10.1145/345910.345917 (2000), pp. 32-43. 2005-08-05T13:54:54-00:00 2000 32 43 ACM Press localization location rf ultrasound http://www.citeulike.org/user/maxp/article/1939550 <i>(2003)</i><br /><br />The Cricket indoor location project has been active for four years. We have developed three different versions of the system. The first version was an early proofof -concept (Cricket v0), which led to the first prototype (Cricket v1). Cricket v1 has seen extensive use by us and by a few other research groups in the community. During this time, we have learned a number of lessons from application designers, users, and system maintainers. We break these lessons into platform flexibility, where we ... Lessons from developing and deploying the Cricket indoor location system H Balakrishnan R Baliga D Curtis M Goraczko A Miu N Priyantha A Smith K Steele S Teller K Wang (2003) 2007-11-19T21:22:57-00:00 2003 indoor localization location rf ultrasound http://www.citeulike.org/user/maxp/article/755359 <i>Instrumentation and Measurement, IEEE Transactions on, Vol. 55, No. 1. (2006), pp. 187-196.</i><br /><br />This paper presents a novel method for detecting the motion of passive radio-frequency-identification (RFID) tags within the field of a detecting antenna. The method allows the unobtrusive detection of human interactions with RFID-tagged objects without requiring any modifications to existing communications protocols or RFID hardware. We use the response rate (a metric in lieu of the true received RF-signal intensity) at the reader to study the impact of tag translation, rotation, and coupling, as well as environmental effects. Performance is improved by introducing the idea of multiple tags/readers. Movement-detection algorithms are developed and integrated into the RFID monitoring system, and verified by experiments that demonstrate excellent results. Unobtrusive long-range detection of passive RFID tag motion Bing Jiang KP Fishkin S Roy M Philipose doi:10.1109/TIM.2005.861489 Instrumentation and Measurement, IEEE Transactions on, Vol. 55, No. 1. (2006), pp. 187-196. 2006-07-12T21:18:54-00:00 2006 Instrumentation and Measurement, IEEE Transactions on 55 1 187 196 detection passive rfid http://www.citeulike.org/user/maxp/article/1953844 <i>UW SCE Technical Report #2000-02-02 (February 2000)</i> SpotON: Indoor location sensing based on RF signal strength Jeffrey Hightower Gaetano Borriello Roy Want UW SCE Technical Report #2000-02-02 (February 2000) 2007-11-21T19:29:38-00:00 2000 UW SCE Technical Report #2000-02-02 indoor location rf rfid rssi signal strength triangulation http://www.citeulike.org/user/maxp/article/1953482 <i>Packaging Digest (November 2004)</i><br /><br />The numbers are astounding and the stakes couldn't be higher for consumers, pharmaceutical manufacturers, distributors and retailers. Up to seven percent of all drugs in the international supply chain may be counterfeit. Retail and pharmaceutical markets must absorb more than $2 billion in product returns each year, caused by overstocked or outdated products. Faced with some 1,300 recalls in 2001 alone, the industry is seeking ways to better monitor the international drug supply from "manufacturer to medicine cabinet." The pharmaceutical industry is looking to radio frequency identification (RFID) as a primary way of solving these problems. RFID technology's ability to ensure the validity of data in the pharmaceutical industry is providing many new opportunities for reducing costs, while improving product quality and drug safety. The U.S. Food and Drug Administration's main interest in RFID is as a technology that can keep the drug supply safe and secure. According to the agency, RFID provides the most promising approach for reliably tracking, tracing and authenticating pharmaceutical products, and it is recommending widespread use of RFID in the pharmaceutical supply chain at the item level by 2007. Comparing HF and UHF RFID technologies Lauren Hartmann Packaging Digest (November 2004) 2007-11-21T18:14:01-00:00 2004 Packaging Digest hf rfid uhf http://www.citeulike.org/user/maxp/article/1952567 <i>IEEE Pervasive Computing, Vol. 5, No. 1. (January 2006)</i> An Introduction to RFID Technology Roy Want doi:10.1109/MPRV.2006.2 IEEE Pervasive Computing, Vol. 5, No. 1. (January 2006) 2007-11-21T15:34:33-00:00 2006 IEEE Pervasive Computing 1536-1268 5 1 IEEE Educational Activities Department rfid http://www.citeulike.org/user/maxp/article/302530 <i>Lecture Notes in Computer Science, Vol. 3660 (2005), pp. 105-122.</i> A Study of Bluetooth Propagation Using Accurate Indoor Location Mapping Anil Madhavapeddy Alastair Tse Lecture Notes in Computer Science, Vol. 3660 (2005), pp. 105-122. 2005-08-24T14:05:01-00:00 2005 Lecture Notes in Computer Science 3660 105 122 bluetooth indoor location http://www.citeulike.org/user/maxp/article/1946814 <i>Local Computer Networks, 2004. 29th Annual IEEE International Conference on (2004), pp. 676-683.</i><br /><br />Location fingerprinting is a technique for location sensing on 802.11 wireless local area networks (WLANs), using commodity WLAN cards and no additional hardware tags. Location fingerprinting is a two-phase process. First, a radio map of observed signal strength (SS) values from different locations is recorded during an offline calibration phase. Then, in real time, SS values observed at a users mobile device are compared to the radio map values using proximity-matching algorithms in order to infer current user locations. We present Locus, a software-only, platform-independent tool for location fingerprinting on 802.11 WLANs. Locus has an object-oriented design, and is implemented in Java with graphical display in scalable vector graphics (SVG). While several proximity-matching algorithms have been proposed, very little research has evaluated their performance on existing wireless networks. Using Locus as a framework, we compared the performance of two proposed proximity-matching algorithms experimentally and also quantified the variance of observed SS values on five mobile devices. We find that, in practice, due to issues such as access point occlusion from certain locations, in-building interference effects on signal strengths, calibration and signal strength detection difficulties on certain mobile platforms, the behavior of proximity-matching algorithms can be mobile platform and wireless network dependent, and cannot always be generalized. Location fingerprinting on infrastructure 802.11 wireless local area networks (WLANs) using Locus A Taheri A Singh A Emmanuel Local Computer Networks, 2004. 29th Annual IEEE International Conference on (2004), pp. 676-683. 2007-11-20T19:04:33-00:00 2004 Local Computer Networks, 2004. 29th Annual IEEE International Conference on 676 683 fingerprint rssi signal wireless wlan http://www.citeulike.org/user/maxp/article/1914291 <i>UW CSE Technical Report (2001)</i> Location Sensing Techniques Jeffrey Hightower Gaetano Borriello UW CSE Technical Report (2001) 2007-11-14T14:14:25-00:00 2001 UW CSE Technical Report angulation lateration location triangulation http://www.citeulike.org/user/maxp/article/1906677 <i>(2003)</i><br /><br />Tracking the activity of people in indoor environments has gained considerable attention in the robotics community over the last years. Most of the existing approaches are based on sensors which allow to accurately determine the locations of people but do not provide means to distinguish between different persons. In this paper we propose a novel approach to tracking moving objects and their identity using noisy, sparse information collected by id-sensors such as infrared and ultrasound badge... Voronoi tracking: Location estimation using sparse and noisy sensor data L Liao D Fox J Hightower H Kautz D Schulz (2003) 2007-11-13T09:46:41-00:00 2003 location tracking voronoi http://www.citeulike.org/user/maxp/article/1840613 <i>Personal Communications, IEEE [see also IEEE Wireless Communications], Vol. 4, No. 5. (1997), pp. 35-41.</i><br /><br />A novel type of sensor system called the active floor is presented that allows the time-varying spatial weight distribution of the active office environment to be captured. The properties of the active floor are described, showing that it differs substantially from other commonly encountered sensor systems. Furthermore, classification of the footstep signature of a number of individuals is attempted by application of the hidden Markov model technique The ORL active floor [sensor system] MD Addlesee A Jones F Livesey F Samaria Personal Communications, IEEE [see also IEEE Wireless Communications], Vol. 4, No. 5. (1997), pp. 35-41. 2007-10-30T13:46:04-00:00 1997 Personal Communications, IEEE [see also IEEE Wireless Communications] 4 5 35 41 hmm markov network sensor http://www.citeulike.org/user/maxp/article/405907 <i>Proceedings of the IEEE, Vol. 77, No. 2. (1989), pp. 257-286.</i><br /><br />This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of implementation of the theory along with a description of selected applications of the theory to distinct problems in speech recognition. Results from a number of original sources are combined to provide a single source of acquiring the background required to pursue further this area of research. The author first reviews the theory of discrete Markov chains and shows how the concept of hidden states, where the observation is a probabilistic function of the state, can be used effectively. The theory is illustrated with two simple examples, namely coin-tossing, and the classic balls-in-urns system. Three fundamental problems of HMMs are noted and several practical techniques for solving these problems are given. The various types of HMMs that have been studied, including ergodic as well as left-right models, are described A tutorial on hidden Markov models and selected applications in speech recognition LR Rabiner doi:10.1109/5.18626 Proceedings of the IEEE, Vol. 77, No. 2. (1989), pp. 257-286. 2005-11-23T14:41:21-00:00 1989 Proceedings of the IEEE 77 2 257 286 hmm markov http://www.citeulike.org/user/maxp/article/1815463 <i>Radar and Signal Processing, IEE Proceedings F, Vol. 140, No. 2. (1993), pp. 107-113.</i><br /><br />An algorithm, the bootstrap filter, is proposed for implementing recursive Bayesian filters. The required density of the state vector is represented as a set of random samples, which are updated and propagated by the algorithm. The method is not restricted by assumptions of linearity or Gaussian noise: it may be applied to any state transition or measurement model. A simulation example of the bearings only tracking problem is presented. This simulation includes schemes for improving the efficiency of the basic algorithm. For this example, the performance of the bootstrap filter is greatly superior to the standard extended Kalman filter Novel approach to nonlinear/non-Gaussian Bayesian state estimation NJ Gordon DJ Salmond AFM Smith Radar and Signal Processing, IEE Proceedings F, Vol. 140, No. 2. (1993), pp. 107-113. 2007-10-24T13:50:16-00:00 1993 Radar and Signal Processing, IEE Proceedings F 140 2 107 113 bayesian bootstrap carlo filter mcl monte particle http://www.citeulike.org/user/maxp/article/1815456 <i>(2003)</i><br /><br />In this paper we examine the role of very simple and noisy sensors for the tracking problem. We propose a binary sensor model, where each sensor's value is converted reliably to one bit of information only: whether the object is moving toward the sensor or away from the sensor. We show that a network of binary sensors has geometric properties that can be used to develop a solution for tracking with binary sensors and present resulting algorithms and simulation experiments. We develop a particle ... Tracking a moving object with a binary sensor network J Aslam Z Butler V Crespi G Cybenko D Rus (2003) 2007-10-24T13:47:04-00:00 2003 filter mcl network particle sensor http://www.citeulike.org/user/maxp/article/1691407 <i>Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 425-437.</i><br /><br />A framework for positioning, navigation, and tracking problems using particle filters (sequential Monte Carlo methods) is developed. It consists of a class of motion models and a general nonlinear measurement equation in position. A general algorithm is presented, which is parsimonious with the particle dimension. It is based on marginalization, enabling a Kalman filter to estimate all position derivatives, and the particle filter becomes low dimensional. This is of utmost importance for high-performance real-time applications. Automotive and airborne applications illustrate numerically the advantage over classical Kalman filter-based algorithms. Here, the use of nonlinear models and non-Gaussian noise is the main explanation for the improvement in accuracy. More specifically, we describe how the technique of map matching is used to match an aircraft's elevation profile to a digital elevation map and a car's horizontal driven path to a street map. In both cases, real-time implementations are available, and tests have shown that the accuracy in both cases is comparable with satellite navigation (as GPS) but with higher integrity. Based on simulations, we also argue how the particle filter can be used for positioning based on cellular phone measurements, for integrated navigation in aircraft, and for target tracking in aircraft and cars. Finally, the particle filter enables a promising solution to the combined task of navigation and tracking, with possible application to airborne hunting and collision avoidance systems in cars Particle filters for positioning, navigation, and tracking F Gustafsson F Gunnarsson N Bergman U Forssell J Jansson R Karlsson PJ Nordlund doi:10.1109/78.978396 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 425-437. 2007-09-25T03:56:54-00:00 2002 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 50 2 425 437 carlo filter mcl monte particle tracking http://www.citeulike.org/user/maxp/article/431128 <i>Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 174-188.</i><br /><br />Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system. Moreover, it is typically crucial to process data on-line as it arrives, both from the point of view of storage costs as well as for rapid adaptation to changing signal characteristics. In this paper, we review both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters. Particle filters are sequential Monte Carlo methods based on point mass (or "particle") representations of probability densities, which can be applied to any state-space model and which generalize the traditional Kalman filtering methods. Several variants of the particle filter such as SIR, ASIR, and RPF are introduced within a generic framework of the sequential importance sampling (SIS) algorithm. These are discussed and compared with the standard EKF through an illustrative example A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking MS Arulampalam S Maskell N Gordon T Clapp doi:10.1109/78.978374 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 174-188. 2005-12-09T09:18:13-00:00 2002 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 50 2 174 188 bayesian filter particle tracking http://www.citeulike.org/user/maxp/article/1789475 <i>(March 2002)</i><br /><br />This paper proposes that the healthcare domain can serve as an archetypical field of research in pervasive computing. We present this area from a technological perspective, arguing that it provides a wide range of possible applications of pervasive computing technology. We further recognize that pervasive computing technology is likely to create concerns about the security of healthcare systems, due to increased data aggregation, ubiquitous access, and increasing dependency on technical... Dependability Issues of Pervasive Computing in a Healthcare Environment Jürgen Bohn Felix Gärtner Harald Vogt (March 2002) 2007-10-19T14:09:39-00:00 2002 computing healthcare pervasive ubiquitous http://www.citeulike.org/user/maxp/article/1789419 <i>(2002)</i><br /><br />We propose a method for learning models of people's motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, they often engage in typical motion patterns, related to specific locations that they might be interested in approaching and specific trajectories that they might follow in doing so. Knowledge about such patterns may enable a mobile robot to develop improved people following and obstacle avoidance skills. This paper... Learning motion patterns of persons for mobile service robots M Bennewitz W Burgard S Thrun (2002) 2007-10-19T13:56:07-00:00 2002 bayesian markov motion patterns robotics http://www.citeulike.org/user/maxp/article/347156 <i>(1997)</i><br /><br />The Kalman filter provides an effective solution to the linear-Gaussian filtering problem. However, where there is nonlinearity, either in the model specification or the observation process, other methods are required. We consider methods known generically as particle filters, which include the condensation algorithm and the Bayesian bootstrap or sampling importance resampling (SIR) filter. An improved particle filter for non-linear problems J Carpenter P Clifford P Fernhead (1997) 2005-10-10T19:22:59-00:00 1997 bayesian carlo filter localization particle probabilistic http://www.citeulike.org/user/maxp/article/1774860 <i>(1998)</i><br /><br />This dissertation explores fundamental issues in effective and safe navigation of mobile indoor robots. In particular, we will look at the problem of self-localization and aspects of collision avoidance during the process of self-localization. A successful realization of this process has to address several sub-problems Markov Localization: A Probabilistic Framework for Mobile Robot Localization and Navigation Dieter Fox (1998) 2007-10-16T14:46:52-00:00 1998 bayesian carlo filter localization markov mcl monte particle probabilistic robotics http://www.citeulike.org/user/maxp/article/1774251 <i>(2001)</i> Particle Filters for Mobile Robot Localization Dieter Fox Sebastian Thrun Wolfram Burgard Frank Dellaert (2001) 2007-10-16T12:23:37-00:00 2001 Springer bayesian carlo filter grid localization markov mcl monte particle robotics http://www.citeulike.org/user/maxp/article/1774226 <i>(2004)</i><br /><br />Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the intrusion detection problem and the related problems of classifying and tracking targets. Our approach is based on a dense, distributed, wireless network of multi-modal resource-poor sensors combined into loosely coherent sensor arrays that perform in situ detection, estimation, compression, and exfiltration. We ... A line in the sand: A wireless sensor network for target detection A Arora P Dutta S Bapat V Kulathumani H Zhang V Naik V Mittal H Cao M Demirbas M Gouda Y Choi T Herman S Kulkarni U Arumugam M Nesterenko A Vora M Miyashita (2004) 2007-10-16T12:16:26-00:00 2004 network sensor tracking wireless http://www.citeulike.org/user/maxp/article/994376 <i>(2006), pp. 251-264.</i> Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms N Shrivastava Mudumbai S Suri doi:10.1145/1182807.1182833 (2006), pp. 251-264. 2006-12-14T12:52:29-00:00 2006 251 264 ACM Press algorithm filter particle sensor tracking http://www.citeulike.org/user/maxp/article/1770625 <i>(2005)</i> On target tracking with binary proximity sensors Wooyoung Kim Kirill Mechitov Jeung-Yoon Choi Soo Ham doi:10.1145/958491.958509 (2005) 2007-10-15T15:48:06-00:00 2005 IEEE Press sensor tracking http://www.citeulike.org/user/maxp/article/1770528 <i>Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 216-223.</i><br /><br />We present a Bayesian approach to tracking the direction-of-arrival (DOA) of multiple moving targets using a passive sensor array. The prior is a description of the dynamic behavior we expect for the targets which is modeled as constant velocity motion with a Gaussian disturbance acting on the target's heading direction. The likelihood function is arrived at by defining an uninformative prior for both the signals and noise variance and removing these parameters from the problem by marginalization. Advances in sequential Monte Carlo (SMC) techniques, specifically the particle filter algorithm, allow us to model and track the posterior distribution defined by the Bayesian model using a collection of target states that can be viewed as samples from the posterior of interest. We describe two versions of this algorithm and finally present results obtained using synthetic data A Bayesian approach to tracking multiple targets using sensor arrays and particle filters M Orton W Fitzgerald doi:10.1109/78.978377 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 50, No. 2. (2002), pp. 216-223. 2007-10-15T15:10:48-00:00 2002 Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 50 2 216 223 bayesian carlo filter monte particle sensor http://www.citeulike.org/user/maxp/article/1770487 <i>(May 1999)</i> Monte Carlo Localization for Mobile Robots Frank Dellaert Dieter Fox Wolfram Burgard Sebastian Thrun (May 1999) 2007-10-15T14:57:08-00:00 1999 bayesian carlo localization monte http://www.citeulike.org/user/maxp/article/1770474 <i>(2007), pp. 529-538.</i> Tracking multiple targets using binary proximity sensors Jaspreet Singh Upamanyu Madhow Rajesh Kumar Subhash Suri Richard Cagley doi:10.1145/1236360.1236427 (2007), pp. 529-538. 2007-10-15T14:54:55-00:00 2007 529 538 ACM Press sensor tracking http://www.citeulike.org/user/maxp/article/894174 <i>(1992)</i> Mathematical Techniques in Multisensor Data Fusion David Hall (1992) 2006-10-12T10:46:46-00:00 1992 Artech House, Inc. fusion sensor http://www.citeulike.org/user/maxp/article/894179 <i></i> Decentralized Sensor Fusion with Distributed Particle Filters M Rosencrantz G Gordon S Thrun 2006-10-12T11:15:25-00:00 bayesian filter location probabilistic http://www.citeulike.org/user/maxp/article/850391 <i>(1996), pp. 896-901.</i><br /><br />In order to re-use existing models of the environment mobile robots must be able to estimate their position and orientation in such models. Most of the existing methods for position estimation are based on special purpose sensors or aim at tracking the robot's position relative to the known starting point. This paper describes the position probability grid approach to estimating the robot's absolute position and orientation in a metric model of the environment. Our method is designed to work... Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids Wolfram Burgard Dieter Fox Daniel Hennig Timo Schmidt (1996), pp. 896-901. 2006-09-20T01:55:19-00:00 1996 896 901 estimation indoor position probabilistic robotics http://www.citeulike.org/user/maxp/article/1770267 <i>(1997), pp. 289-300.</i><br /><br />One of the fundamental problems in the #eld of mobile robotics is the estimation of the robot's position in the environment. Position probability grids have been proven to be a robust technique for the estimation of the absolute position of a mobile robot. In this paper we describe an application of position probability grids to position tracking. Given a starting position our approachkeeps track of the robot's current position by matching sensor readings against a metric model of the... Fast Grid-Based Position Tracking for Mobile Robots Wolfram Burgard Dieter Fox Daniel Henning (1997), pp. 289-300. 2007-10-15T13:32:32-00:00 1997 289 300 fusion grid position probabilistic robotics sensor tracking http://www.citeulike.org/user/maxp/article/1745698 <i>Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on (2006), 4 pp..</i><br /><br />We suggest a novel method for localizing passive radio frequency identification (RFID) tags based on a Bayesian approach. The localization framework requires a suitable number of tag-readers deployed in the area under investigation and connected to antennas which, provided with rotation ability, perform the detection task by scanning each angular sector at different power levels. Since readers are programmed to detect tags at increasing transmitting power (and provide binary tag/no tag information), we take advantage of the reader interrogation results to develop a Bayesian model for tags localization. By testing the solution with off-the-shelf UHF tags were experimented the accuracy of the method that, in a 5m/spl times/4m environment, provides an average error in localization of about 0.6 meters. This without exploiting any a priori information of the location, orientation or the power delivered to the tag (since not available in actual tags) which would significantly improve localization accuracy. A statistical approach to localize passive RFIDs C Alippi D Cogliati G Vanini doi:10.1109/ISCAS.2006.1692717 Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on (2006), 4 pp.. 2007-10-09T13:48:50-00:00 2006 Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on 4 pp. bayesian localization rfid http://www.citeulike.org/user/maxp/article/1697409 <i>Vol. 6248 (June 2006)</i><br /><br />Radio frequency identification (RFID) is poised for growth as businesses and governments explore applications implementing RFID. The RFID technology will continue to evolve to meet new demands for human and target location and tracking. In particular, there are increasing needs to find and track the positions of multiple RFID tagged items that are closely spaced. As a result, localization and tracking techniques with higher accuracy, yet low implementation complexity are required. This paper examines the applicability of direction-of-arrival (DOA) estimation methods to the localization and tracking problems of passive RFID tags. Different scenarios of stationary and moving targets are considered. It is shown through performance analysis and simulations that simple DOA estimation methods can be used to provide satisfactory localization performance. Localization and tracking of passive RFID tags Y Zhang MG Amin doi:10.1117/12.667773 Vol. 6248 (June 2006) 2007-09-26T14:21:08-00:00 2006 6248 no-tag http://www.citeulike.org/user/maxp/article/1697066 <i>Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on (2006), 5 pp..</i><br /><br />Once devices have been distributed around us, it is essential to model the context in which we interact on a daily basis in an appropriate way. In this sense, we should ensure that the devices chosen should be completely suited to needs. Our aim is to create applications to facilitate the user's daily activities, without any extra effort in terms of interaction, if possible. In this work we present an approach to the modeling of contexts through RFID technology, identifying users as implicit inputs to the system and offering services as implicit outputs. The particular contexts studied are the classroom and the conference site. Modeling contexts by RFID-sensor fusion J Bravo R Hervas G Chavira S Nava Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on (2006), 5 pp.. 2007-09-26T12:03:10-00:00 2006 Pervasive Computing and Communications Workshops, 2006. PerCom Workshops 2006. Fourth Annual IEEE International Conference on 5 pp. awareness context fusion location position rfid sensor http://www.citeulike.org/user/maxp/article/1679058 <i>Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06) (2006), pp. 168-176.</i><br /><br />In this paper, a low cost Radio Frequency Identification (RFID) indoor location scheme is proposed by deploying RFID tags and implementing a new localization algorithm to make person holding RFID reader know where he is in real time. In this algorithm, the person’s state space is represented by maintaining a set of random samples. And a localization method that can represent arbitrary distributions is proposed by using a sampling-based representation. Comparison between proposed algorithm and Least Square (LS) algorithm in TOA indicated that the positioning errors of the proposed algorithm are lower than LS under the Non-Line-Of- Sight (NLOS) scenarios. For the case that LS is not available when less than three tags deployed, however, the proposed algorithm can keep track of person. Random Sampling Algorithm in RFID Indoor Location System Bao Xu Wang Gang Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06) (2006), pp. 168-176. 2007-09-20T13:54:19-00:00 2006 Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06) 168 176 indoor location rfid http://www.citeulike.org/user/maxp/article/1234890 <i>: UbiComp 2004: Ubiquitous Computing (2004), pp. 88-106.</i> Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study Jeffrey Hightower Gaetano Borriello : UbiComp 2004: Ubiquitous Computing (2004), pp. 88-106. 2007-04-18T20:24:57-00:00 2004 : UbiComp 2004: Ubiquitous Computing 88 106 estimation filter location particle ubiquitous http://www.citeulike.org/user/maxp/article/257570 <i>(2003)</i> WLAN Location Determination via Clustering and Probability Distributions Moustafa Youssef Ashok Agrawala Udaya Shankar (2003) 2005-07-16T07:20:57-00:00 2003 IEEE Computer Society location probabilistic wifi wlan http://www.citeulike.org/user/maxp/article/1679026 <i>(Jul 2003)</i> Experiments in Monte-Carlo Localization using WiFi Signal Strength Sajid Siddiqi Gaurav Sukhatme Andrew Howard (Jul 2003) 2007-09-20T13:25:06-00:00 2003 filter probabilistic wifi wlan http://www.citeulike.org/user/maxp/article/1679013 <i>(August 2003)</i> Reasoning About Uncertainty in Location Identification with RFID James Brusey Christian Floerkemeier Mark Harrison Martyn Fletcher (August 2003) 2007-09-20T13:19:44-00:00 2003 rfid http://www.citeulike.org/user/maxp/article/1679002 <i>(October 2003)</i> Improving the Effectiveness of Medical Treatment with Pervasive Computing Technologies Christian Floerkemeier Frank Siegemund (October 2003) 2007-09-20T13:16:36-00:00 2003 healthcare ubiquitous http://www.citeulike.org/user/maxp/article/1678997 <i>(2005), pp. 69-86.</i> Einführung in die RFID-Technologie Matthias Lampe Christian Floerkemeier Stephan Haller (2005), pp. 69-86. 2007-09-20T13:14:09-00:00 2005 69 86 Springer-Verlag rfid ubiquitous