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2010 13th International Conference on Information Fusion最新文献

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Robust Bayesian detection: A case study 鲁棒贝叶斯检测:一个案例研究
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711944
P. D. Oude, G. Pavlin, J. D. Groot
{"title":"Robust Bayesian detection: A case study","authors":"P. D. Oude, G. Pavlin, J. D. Groot","doi":"10.1109/ICIF.2010.5711944","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711944","url":null,"abstract":"This paper discusses the use of Bayesian networks in a class of contemporary gas detection/classification problems. In particular, we expose the properties of Bayesian networks which allow creation of detection systems with good performance despite significant deviations between the used models and the underlying true probability distributions. Key to adequate grounding of fusion processes is explicit representation of the locality of causal relations in models of monitoring processes. This provides guidance for a systematic and tractable construction of complex detection systems correlating very heterogeneous information. The resulting Bayesian detection systems are experimentally validated.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128603536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Azimuth & elevation estimation using acoustic array 基于声阵列的方位和仰角估计
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711874
T. Damarla
{"title":"Azimuth & elevation estimation using acoustic array","authors":"T. Damarla","doi":"10.1109/ICIF.2010.5711874","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711874","url":null,"abstract":"Tracking of helicopters or any airborne targets requires estimation of both azimuth and elevation angles of the target. In this paper, an algorithm for estimation of azimuth and elevation using acoustic array (array of microphones) will be presented. There are several super resolution algorithms for estimation of direction of arrival (DoA) angles, such as minimum variance distortionless response (MVDR), multiple signal classification (MUSIC), ESPRIT, etc. While these algorithms are able to provide fairly good estimation of azimuth, they are unable to estimate the elevation angles with reasonable accuracy. In this paper, a new paradigm is developed to estimate the pointing vector (azimuth & elevation) to the target using the angle of arrivals (AoA) of a target's signal at each pair of microphones in the array. Mathematical formulation of the problem is presented. The algorithm for estimation of azimuth and elevation is used on actual helicopter data, and the results are presented.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Assessing confidence in Situation Awareness 评估对形势感知的信心
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711843
J. Palmer
{"title":"Assessing confidence in Situation Awareness","authors":"J. Palmer","doi":"10.1109/ICIF.2010.5711843","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711843","url":null,"abstract":"Situation Awareness enables the discovery of aggregations and the identification of interesting patterns in underlying data that can be leveraged to further the understanding of the battlespace. While there have been steady efforts within the information fusion community to increase the level of automated reasoning supporting Situation Awareness, there remain unresolved issues such as the development of standard metrics of trust. Aggregation methods applicable to one sort of analysis may not be parameterized in the same fashion as another. New methods may be introduced. Together, these belie the possibility of a universal a-priori understanding of the factors that may temper a method's reliability. To accommodate such variability, this paper adopts a non-parametric approach to the assignment of a confidence metric. It introduces a measure similar to Hubert's Γ but which incorporates a measure previously shown helpful in assessing the effectiveness of object refinement engines. Results illustrate its application.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116319559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Depth gradient based segmentation of overlapping foreground objects in range images 基于深度梯度的远景图像重叠前景目标分割
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712108
A. Störmer, M. Hofmann, G. Rigoll
{"title":"Depth gradient based segmentation of overlapping foreground objects in range images","authors":"A. Störmer, M. Hofmann, G. Rigoll","doi":"10.1109/ICIF.2010.5712108","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712108","url":null,"abstract":"Using standard background modeling approaches, close or overlapping objects are often detected as a single blob. In this paper we propose a new and effective method to distinguish between overlapping foreground objects in data obtained from a time of flight sensor. For this we use fusion of the infrared and the range data channels. In addition a further processing step is introduced to evaluate if connected components should be further divided. This is done using nonmaximum suppression on strong depth gradients.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116749380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Data association and soft data streams 数据关联和软数据流
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712079
Megan Hannigan, Deven McMaster, J. Llinas, Kedar Sambhoos
{"title":"Data association and soft data streams","authors":"Megan Hannigan, Deven McMaster, J. Llinas, Kedar Sambhoos","doi":"10.1109/ICIF.2010.5712079","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712079","url":null,"abstract":"This paper discusses the challenges of and possible methods for data association in the domain of counterinsurgency where “soft/linguistic” data is an important input data type. An overview of the processing operations from input to construction of fused estimates is described. The design issues that are discussed and require further exploration to yield a workable and efficient association process include developing an input batching logic, finding efficient ways to search between graphs, and the selection of appropriate semantic similarity metrics to associate nodes and arcs. Additionally, the solution to a multi-dimensional assignment problem and graph merging techniques will need to be defined. The application of data association in this type of environment has potential to yield an improved, comprehensive data graph which will aid in reducing search time and provide more accurate results for analysts making real time decisions in the real world.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Distributed estimation fusion under unknown cross-correlation: An analytic center approach 未知互相关下的分布式估计融合:一种分析中心方法
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711989
Yimin Wang, X. Li
{"title":"Distributed estimation fusion under unknown cross-correlation: An analytic center approach","authors":"Yimin Wang, X. Li","doi":"10.1109/ICIF.2010.5711989","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711989","url":null,"abstract":"We develop an analytic center approach to distributed estimation fusion when the cross-correlation of errors between local estimates is unknown. Based on a set-theoretic formulation of the problem, we seek an estimate that maximizes the complementary squared Mahalanobis “distance” between the local and the desired estimates in a logarithmic average form, and the optimal value turns out to be the analytic center. For our problem, we then prove that the analytic center is a convex combination of the local estimates. As such, our proposed analytic center covariance intersection (AC-CI) algorithm could be regarded as the covariance intersection (CI) algorithm with respect to a set-theoretic optimization criteria.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115185202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
Search and Rescue Optimal Planning System 搜救最优规划系统
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712114
T. M. Kratzke, L. Stone, J. R. Frost
{"title":"Search and Rescue Optimal Planning System","authors":"T. M. Kratzke, L. Stone, J. R. Frost","doi":"10.1109/ICIF.2010.5712114","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712114","url":null,"abstract":"In 1974 the U.S. Coast Guard put into operation its first computerized search and rescue planning system CASP (Computer-Assisted Search Planning) which used a Bayesian approach implemented by a particle filter to produce probability distributions for the location of the search object. These distributions were used for planning search effort. In 2003, the Coast Guard started development of a new decision support system for managing search efforts called Search and Rescue Optimal Planning System (SAROPS). SAROPS has been operational since January, 2007 and is currently the only search planning tool that the Coast Guard uses for maritime searches. SAROPS represents a major advance in search planning technology. This paper reviews the technology behind the tool.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 73
Interval dominance based data association 基于区间优势的数据关联
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711910
A. Benavoli
{"title":"Interval dominance based data association","authors":"A. Benavoli","doi":"10.1109/ICIF.2010.5711910","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711910","url":null,"abstract":"A new robust filtering method has recently been proposed based on closed-convex sets of probability distributions or, equivalently, coherent lower previsions, which are used to characterize uncertainty in the prior, likelihood and, respectively, state transition models. In this paper, we generalize this approach to the multi-target tracking problem by also addressing the uncertainty on the origin of the measurements (target or clutter). In particular, we show that this further source of uncertainty can be taken into account by using set of distributions and decision techniques for coherent lower previsions. Finally, we evaluate the performance of the proposed tracker by means of Monte Carlo simulations relative to difficult tracking scenarios such as manoeuvring and crossing targets.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126909110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Active clutter reduction through fusion with passive data 通过与被动数据融合来减少主动杂波
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711979
J. Aughenbaugh, Bryan A. Yocom, B. Cour
{"title":"Active clutter reduction through fusion with passive data","authors":"J. Aughenbaugh, Bryan A. Yocom, B. Cour","doi":"10.1109/ICIF.2010.5711979","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711979","url":null,"abstract":"Active and passive sonar systems often provide complementary information. Active systems generally provide good localization but are subject to high rates of clutter from bottom and volumetric scatterers. Passive systems generally have good resolution only in bearing and only can detect objects that emit acoustic energy. By fusing measurements from both types of systems, the passive data can be used to reduce the clutter in the active data. The result is improved target tracking, as shown in two examples, including the injection of a single target into a recorded active clutter dataset.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125914008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A two-step approach for offset and position estimation from pseudo-ranges applied to multilateration tracking 一种用于多重跟踪的伪距离偏移和位置估计的两步方法
2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712060
F. Beutler, U. Hanebeck
{"title":"A two-step approach for offset and position estimation from pseudo-ranges applied to multilateration tracking","authors":"F. Beutler, U. Hanebeck","doi":"10.1109/ICIF.2010.5712060","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712060","url":null,"abstract":"In multilateration tracking, an object, e.g., an airplane, emits a known reference signal, which is received by several base stations (sensors) located at known positions. The receiving times of the signal at the sensors correspond to the times of arrival (TOA) plus an unknown offset, because the emission time is unknown. Usually, for estimating the position of the object, the receiving times are converted to a larger number of time differences of arrival (TDOA) in order to eliminate the unknown offset. To avoid this conversion, the proposed approach directly uses the receiving times. This is achieved by 1. determining the optimal offset from the redundant measurements in closed form and 2. by considering a modified measurement equation. As a result, position estimation can be performed by optimal stochastic linearization.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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