Table of Contents

• Nonlinear filter design using Fokker-Planck propagator in Kronecker tensor formatBruno Demissie, Muhammad Altamash Khan, Felix Govaers. 1-8 [doi]
• A robust Student's t based cubature filterYulong Huang, Yonggang Zhang, Ning Li, Syed Mohsen Naqvi, Jonathon A. Chambers. 9-16 [doi]
• Data-driven ballistic coefficient learning for future state prediction of high-speed vehiclesKyungwoo Song, Sang-Hyeon Kim, Jinhyung Tak, Han-Lim Choi, Il-Chul Moon. 17-24 [doi]
• LMMSE filtering with out-of-sequence and uncertain observationsDaniel Sigalov, Yaakov Oshman. 25-30 [doi]
• A novel multiple-model treatment for maneuvering target trackingWei Wang, Jie Zhou, Xiaomei Qu. 31-38 [doi]
• Trajectory optimization for multi-platform bearing-only tracking with ghostsFolker Hoffmann, Alexander Charlish, Wolfgang Koch. 39-44 [doi]
• Joint node selection and power allocation for multitarget tracking in decentralized radar networksMingchi Xie, Wei Yi, Lingjiang Kong. 45-52 [doi]
• Approaches for solving m-best 3-dimensional dynamic scheduling problems for large mLingyi Zhang, David Sidoti, Krishna R. Pattipati, David A. Castañón. 53-58 [doi]
• Hephaestus: A multisensor data fusion algorithm for multiple applications on wireless sensor networksGabriel Aquino, Luci Pirmez, Claudio M. de Farias, Flávia Coimbra Delicato, Paulo F. Pires. 59-66 [doi]
• Progressive closed-loop chance-constrained controlGerhard Kurz, Maxim Dolgov, Uwe D. Hanebeck. 67-72 [doi]
• Comparison of different information fusion methods using ensemble selection considering Benchmark dataSandra Rothe, Dirk Söffker. 73-78 [doi]
• Hybrid autoencoder and classifier for label-deficient semi-supervised learning: Case studyRastin Rastgoufard, AbdulRahman Alsamman. 79-83 [doi]
• GPLVM and lava floor distance for label-deficient semi-supervised learning: Case studyRastin Rastgoufard, AbdulRahman Alsamman. 84-90 [doi]
• Open data analysis for environmental scanning in security-oriented strategic analysisJuan Gómez-Romero, M. Dolores Ruiz, Maria J. Martín-Bautista. 91-97 [doi]
• Predicting the co-evolution of event and Knowledge GraphsCristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass. 98-105 [doi]
• Constructing Bayesian networks by harvesting knowledge from online resourcesZhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng. 106-113 [doi]
• Adaptive multimodal fusion with web resources for scene classificationDongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham. 114-121 [doi]
• Topics and relationship discovery from unstructured equivocal sources for situation assessmentSubrata Das. 122-129 [doi]
• Can Instagram posts help characterize urban micro-events?Kasthuri Jayarajah, Archan Misra. 130-137 [doi]
• Source behavior discovery for fusion of subjective opinionsMurat Sensoy, Lance M. Kaplan, Geeth de Mel, Taha D. Gunes. 138-145 [doi]
• The Space Object OntologyAlexander P. Cox, Christopher K. Nebelecky, Ronald Rudnicki, William A. Tagliaferri, John L. Crassidis, Barry Smith. 146-153 [doi]
• Multi-object tracking with multiple birth, death, and spawn scenarios using a randomized hypothesis generation technique (RFISST)W. Faber, S. Chakravorty, Islam I. Hussein. 154-161 [doi]
• Modeling birth in a space-object CPHD filter using the probabilistic admissible regionBrandon A. Jones. 162-169 [doi]
• Considering uncertain system parameters in multitarget space surveillance trackingJames S. McCabe, Kyle J. DeMars. 170-177 [doi]
• Anti-ship missile target tracking based on guidance law estimationGaoru Xue, Xiaoxu Wang, Wenchao Zhan, Yan Liang, Chunhui Zhao. 178-184 [doi]
• Performance evaluation of multi-target tracking without knowing ground truthLe Zhang, Jian Lan, X. Rong Li. 185-192 [doi]
• A fused score for ranking and evaluation using multiple performance metricsLe Zhang, Jian Lan, X. Rong Li. 193-200 [doi]
• Multitarget tracking performance based on the quality assessment of data associationJean Dezert, Albena Tchamova, Pavlina D. Konstantinova. 201-208 [doi]
• Comparison of space launch vehicle tracking using different types of multiple modelsHaryong Song, Yoosoo Han. 209-216 [doi]
• The Mixed Ornstein-Uhlenbeck Process and context exploitation in multi-target trackingStefano Coraluppi, Craig Carthel, Paolo Braca, Leonardo M. Millefiori. 217-224 [doi]
• A kinematic model of route-based target tracking: Direct discrete-time formLinfeng Xu, Yan Liang, Quan Pan, Zhansheng Duan, Gongjian Zhou. 225-231 [doi]
• Long-term vessel kinematics prediction exploiting mean-reverting processesLeonardo M. Millefiori, Paolo Braca, Karna Bryan, Peter Willett. 232-239 [doi]
• Compatibility and modeling of constrained dynamic systemsX. Rong Li. 240-247 [doi]
• Root-cause localization using Restricted Boltzmann MachinesH. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin. 248-255 [doi]
• Improved multi-criteria distribution network reconfiguration with information fusionDario Masucci, Chiara Foglietta, Cosimo Palazzo, Stefano Panzieri. 256-263 [doi]
• Using a Bayesian model for confidence to make decisions that consider epistemic regretRoss Anderson, Nick Hare, Simon Maskell. 264-269 [doi]
• Defense strategies for infrastructures with multiple systems of componentsNageswara S. V. Rao, Chris Y. T. Ma, Kjell Hausken, Fei He, Jun Zhuang 0001. 270-277 [doi]
• Bayesian data fusion for pipeline leak detectionMarco Guerriero, Frederick W. Wheeler, Glen Koste, Sachin Dekate, Niloy Choudhury. 278-285 [doi]
• A comparison of iteratively reweighted least squares and Kalman Filter with EM in measurement error covariance estimationYanbo Yang, Tim Brown, Bill Moran, Xuezhi Wang, Quan Pan, Yuemei Qin. 286-291 [doi]
• State estimation with destination constraintsGongjian Zhou, Keyi Li. 292-297 [doi]
• Gaussian likelihood based Bernoulli particle filter for non-uniformly quantized interval measurementXiaoxue Feng, Feng Pan, Qi Gao, Wei-Xing Li. 298-303 [doi]
• Bearings-only localization using direction cosinesDavid Frederic Crouse. 304-311 [doi]
• An end-point-constrained extended Kalman filter for tracking maneuvering near-radially inbound targetsAnton J. Haug, Kevin R. Ford. 312-318 [doi]
• Tracking parameter control in multifunction radar network incorporating information sharingH. Sherwani, Hugh D. Griffiths. 319-326 [doi]
• Adaptive MaxEnt modeling of distributed decision fusion without knowledge of prior probabilities of local decisionsIvan Kadar, Kenneth J. Hintz. 327-333 [doi]
• On auction design for crowd sensingKewei Chen, Vijay Gupta, Yih-Fang Huang. 334-339 [doi]
• Implicit collaboration of intelligent agents through shared goalsKenneth J. Hintz, Ivan Kadar. 340-346 [doi]
• Fusion routine independent implementation of advanced driver assistance systems with polygonal environment modelsTim Kubertschak, Mirko Mählisch, Hans-Joachim Wünsche. 347-354 [doi]
• Dimensionality reduction for whole-body human motion recognitionChristian Mandery, Matthias Plappert, Júlia Borràs Sol, Tamim Asfour. 355-362 [doi]
• Classifier fusion based on cautious discounting of beliefsZhunga Liu, Quan Pan, Jean Dezert. 363-370 [doi]
• Activity recognition based on inertial sensors for Ambient Assisted LivingKadian Davis, Evans Owusu, Vahid Bastani, Lucio Marcenaro, Jun Hu, Carlo S. Regazzoni, Loe M. G. Feijs. 371-378 [doi]
• Improved Pedestrian Dead Reckoning positioning with gait parameter learningParinaz Kasebzadeh, Carsten Fritsche, Gustaf Hendeby, Fredrik Gunnarsson, Fredrik Gustafsson. 379-385 [doi]
• Integrated feature preprocessing for classification based on neural incremental attribute learningTing Wang, Wei Zhou, Xiaoyan Zhu, Fangzhou Liu, Sheng Uei Guan. 386-393 [doi]
• New graph-based and MCMC approaches to multi-INT surveillanceStefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky. 394-401 [doi]
• On path cover problems with positive and negative constraints for graph-based multitarget trackingLingji Chen, Ravi Ravichandran. 402-408 [doi]
• Adaptive semi-greedy search for multidimensional track assignmentSamuel A. Shapero, Hunter Hughes, Peter Tuuk. 409-415 [doi]
• The application of sum-product algorithm for data associationShuai Sun, Hua Lan, Zengfu Wang, Quan Pan, Hong Zhang. 416-423 [doi]
• The Kernel-SME filter with false and missing measurementsMarcus Baum, Shishan Yang, Uwe D. Hanebeck. 424-428 [doi]
• Hidden Markov models with discrete infinite logistic normal distribution priorsHao Zhu, Jinsong Hu, Henry Leung. 429-433 [doi]
• Improving extent estimation of extended targets with Track-before-DetectPaolo Pileggi, Martin Podt. 434-440 [doi]
• A robust and efficient system identification method for a state-space model with heavy-tailed process and measurement noisesYulong Huang, Yonggang Zhang, Ning Li, Syed Mohsen Naqvi, Jonathon A. Chambers. 441-448 [doi]
• Efficient characterization of labeling uncertainty in closely-spaced targets trackingCarlos Moreno Leon, Hans Driessen, Pranab Kumar Mandal. 449-456 [doi]
• Dealing with massive data with a distributed expectation propagation particle filter for object trackingAllan De Freitas, Lyudmila Mihaylova. 457-463 [doi]
• Evaluation of a canonical model approach to probabilistic data association in tracking with particle filtersGregor Pavlin, Rik Claessens, Patrick de Oude, Paulo C. G. Costa. 464-471 [doi]
• Pragmatic data fusion uncertainty concerns: Tribute to Dave L. HallErik Blasch, Paulo C. G. Costa, Johan Pieter de Villiers, Kathryn B. Laskey, James Llinas, Anne-Laure Jousselme. 472-479 [doi]
• A similarity measure in Bayesian classification based on characteristic attributes of objectsMax Krüger, Jürgen Ziegler 0003. 480-487 [doi]
• Semantic criteria for the assessment of Uncertainty handling fusion modelsAnne-Laure Jousselme. 488-495 [doi]
• Decision making under vagueness and uncertaintyAudun Jøsang. 496-503 [doi]
• A risk-unbiased bound for information fusion with nuisance parametersShahar Bar, Joseph Tabrikian. 504-511 [doi]
• Recent results on Bayesian Cramér-Rao bounds for jump Markov systemsCarsten Fritsche, Umut Orguner, Lennart Svensson, Fredrik Gustafsson. 512-520 [doi]
• Approximate diagonalized covariance matrix for signals with correlated noiseBram Dil, Gustaf Hendeby, Fredrik Gustafsson, Bernhard J. Hoenders. 521-527 [doi]
• A survey of some recent results on the CRLB for parameter estimation and its extensionYaakov Bar-Shalom, Peter Willett. 528-535 [doi]
• Cramér-Rao lower bound for linear filtering with t-distributed measurement noiseRobert Piché. 536-540 [doi]
• An efficient indoor positioning particle filter using a floor-plan based proposal distributionHenri Nurminen, Matti Raitoharju, Robert Piché. 541-548 [doi]
• Hybrid indoor pedestrian navigation combining an INS and a spatial non-uniform UWB-networkFrank Hartmann, Dhafar Rifat, Wilhelm Stork. 549-556 [doi]
• On prior navigation knowledge in multi sensor indoor localisationFrank Ebner, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek. 557-564 [doi]
• Fusion of stereo camera and MIMO-FMCW radar for pedestrian tracking in indoor environmentsRoman Streubel, Bin Yang. 565-572 [doi]
• Fusion of visual odometry and inertial sensors using dual quaternions and stochastic cloningManuel Schwaab, Michailas Romanovas, Davide Plaia, Tobias Schwarze, Yiannos Manoli. 573-580 [doi]
• Closed-form bias reduction for shape estimation with polygon modelsFlorian Faion, Maxim Dolgov, Antonio Zea, Uwe D. Hanebeck. 581-588 [doi]
• Incremental learning of environment interactive structures from trajectories of individualsDamian Campo, Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni. 589-596 [doi]
• Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepointsPete Bunch, James K. Murphy, Simon J. Godsill. 597-605 [doi]
• Sequential sparse system estimation for linear systems with nonlinear observationsJames K. Murphy, Simon J. Godsill. 606-611 [doi]
• Tracking elongated extended objects using splinesAntonio Zea, Florian Faion, Uwe D. Hanebeck. 612-619 [doi]
• Antenna placement of multistatic radar system with detection and localization performanceYichuan Yang, Wei Yi, Tianxian Zhang, Guolong Cui, Lingjiang Kong, Xiaobo Yang. 620-625 [doi]
• Charging state aware optimal auction design for sensor selection in crowdsourcing based sensor networksNianxia Cao, Yanzhi Wang, Swastik Brahma, Pramod K. Varshney. 626-633 [doi]
• Rolling horizon non-myopic scheduling of multifunction radar for search and trackMarion Byrne, Kruger White, Jason Williams. 634-642 [doi]
• Speeding up IA mechanically-steered multistatic radar scheduling with GP-GPUsRichard W. Focke, Johan Pieter de Villiers, Michael R. Inggs. 643-650 [doi]
• Multi-Bernoulli sensor control using Cauchy-Schwarz divergenceAmirali K. Gostar, Reza Hoseinnezhad, Alireza Bab-Hadiashar. 651-657 [doi]
• A PHD filter with negative binomial clutterIsabel Schlangen, Emmanuel Delande, Jeremie Houssineau, Daniel E. Clark. 658-665 [doi]
• Adaptive Vo-Vo filter for maneuvering targets with time-varying dynamicsMeng Jiang, Wei Yi, Reza Hoseinnezhad, Lingjiang Kong. 666-672 [doi]
• Association gate-based GM-PHD for high-efficiency trackingMing Lei, Zhongliang Jing, Peng Dong. 673-679 [doi]
• Multi-target joint detection, tracking and classification using generalized labeled Multi-Bernoulli filter with Bayes riskMinzhe Li, Zhongliang Jing, Peng Dong, Han Pan. 680-687 [doi]
• Generalised labelled multi-Bernoulli forward-backward smoothingMichael Beard, Ba-Tuong Vo, Ba-Ngu Vo. 688-694 [doi]
• On the solution of data association problem using rollout algorithmsSelim Ozgen, Mübeccel Demirekler, Umut Orguner. 695-702 [doi]
• Multiple hypothesis tracker in the presence of RGPO/RGPI using amplitude informationJing Hou, Yan Yang, Yi Chen, Linfeng Xu. 703-710 [doi]
• Sequential processing JIPDA for multitarget tracking in clutter using multistatic passive radarYi Fang Shi, Taek Lyul Song. 711-718 [doi]
• Tracking an unknown number of targets using multiple sensors: A belief propagation methodFlorian Meyer, Paolo Braca, Peter Willett, Franz Hlawatsch. 719-726 [doi]
• Three formalisms of multiple hypothesis trackingShozo Mori, Chee Yee Chong, Kuo-Chu Chang. 727-734 [doi]
• Traffic state estimation via a particle filter with compressive sensing and historical traffic dataMatthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova. 735-742 [doi]
• Hierarchical fusion in particle filtering track-before-detectFernando J. Iglesias Garcia, Pranab Kumar Mandal, Melanie Bocquel, Hans Driessen. 743-749 [doi]
• Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in videoOlga Isupova, Danil Kuzin, Lyudmila Mihaylova. 750-757 [doi]
• Sequential distance dependent Chinese Restaurant Processes for motion segmentation of 3D LIDAR dataMehmet Ali Çagri Tuncer, Dirk Schulz. 758-765 [doi]
• Uncertainty evaluation of data and information fusion within the context of the decision loopJohan Pieter de Villiers, Anne-Laure Jousselme, Alta de Waal, Gregor Pavlin, Kathryn B. Laskey, Erik Blasch, Paulo C. G. Costa. 766-773 [doi]
• Construction and evaluation of Bayesian networks with expert-defined latent variablesAlta de Waal, Hildegarde Koen, Johan Pieter de Villiers, Henk Roodt, Nyalleng Moorosi, Gregor Pavlin. 774-781 [doi]
• A new Belief Function based approach for multi-criteria decision-making supportJean Dezert, Deqiang Han, Hanlin Yin. 782-789 [doi]
• Belief-based argumentation and golden rule for decision making with soft and hard informationGalina Rogova, Ronald R. Yager. 790-797 [doi]
• A generalization of Bayesian inference in the Dempster-Shafer belief theoretic frameworkJanith N. Heendeni, Kamal Premaratne, Manohar N. Murthi, J. Uscinski, Matthias Scheutz. 798-804 [doi]
• Joint detection and estimation fusion in distributed multiple sensor systemsHongyan Zhu, Pandeng Zhang, Yan Lin, Jing Liu. 805-810 [doi]
• Estimating detection statistics within a Bayes-closed multi-object filterJavier Correa, Martin David Adams. 811-819 [doi]
• Performance analysis of Wald-statistic based network detection methods for radiation sourcesSatyabrata Sen, Nageswara S. V. Rao, Chase Q. Wu, Mark L. Berry, Kayla M. Grieme, Richard R. Brooks, Guthrie Cordone. 820-827 [doi]
• Model-based data-driven approach for sleep apnea detectionSandeep Gutta, Qi Cheng, Hoa Dinh Nguyen, Bruce Allen Benjamin. 828-835 [doi]
• Joint identification and estimation for multi-detection systemsXiaoxue Feng, Feng Pan, Wei-Xing Li, Qi Gao. 836-842 [doi]
• Accurate tracking in NLOS environments using integrated IMU and fixed lag smootherShenghong Li, Mark Hedley, Iain B. Collings, Mark Johnson. 843-848 [doi]
• Augmented motion models for constrained position tracking with Kalman filtersThomas Kautz, Benjamin H. Groh, Björn M. Eskofier. 849-854 [doi]
• Assessment of WiFi RSS using design of experiment for mobile robot wireless positioning systemT. Thewan, A. H. Ismail, Panya Minyong, Kazuhiko Terashima. 855-860 [doi]
• Flexible three-dimensional camera-based reconstruction and calibration of tracked instrumentsMartin Klemm, Fabian Seebacher, Harald Hoppe. 861-867 [doi]
• Multiple extended object tracking using Gaussian processesTobias Hirscher, Alexander Scheel, Stephan Reuter, Klaus Dietmayer. 868-875 [doi]
• Track level fusion of extended objects from heterogeneous sensorsBharanidhar Duraisamy, Michael Gabb, Aswin Vijayamohnan Nair, Tilo Schwarz, Ting Yuan. 876-885 [doi]
• Multiple sensor Bayesian extended target tracking fusion approaches using random matricesGemine Vivone, Karl Granström, Paolo Braca, Peter Willett. 886-892 [doi]
• Gamma Gaussian inverse-Wishart Poisson multi-Bernoulli filter for extended target trackingKarl Granström, Maryam Fatemi, Lennart Svensson. 893-900 [doi]
• Extended object or group target tracking using random matrix with nonlinear measurementsJian Lan, X. Rong Li. 901-908 [doi]
• Globally exponentially stable Kalman filtering for SLAM with AHRSTor A. Johansen, Edmund Førland Brekke. 909-916 [doi]
• Parametric fusion of complex landmark observations present within the road network by utilizing bundle-adjustment-based Full-SLAMSebastian Skibinski, Frank Weichert, Heinrich Müller. 917-926 [doi]
• Prediction error method estimation for Simultaneous Localisation and MappingZoran Sjanic, Martin A. Skoglund. 927-934 [doi]
• A random finite set approach to occupancy-grid SLAMBranko Ristic, Daniel Angley, Daniel Selvaratnam, Bill Moran, Jennifer L. Palmer. 935-941 [doi]
• Robustness in view-graph SLAMTariq Abuhashim, Lorenzo Natale. 942-949 [doi]
• Integral-transform derivations of exact closed-form multitarget trackersRonald Mahler. 950-957 [doi]
• Cardinality Balanced Multi-Target Multi-Bernoulli filter for target tracking with amplitude informationFeng Yang, Wanying Zhang, Yan Liang, Yazhe Su, Xuanzheng Yao. 958-964 [doi]
• Maritime target multipath tracking using the Bernoulli filterXinglin Shen, Zhiyong Song, Hongqi Fan, Qiang Fu. 965-971 [doi]
• Sequential Monte Carlo implementation of the track-oriented marginal multi-Bernoulli/poisson filterThomas Kropfreiter, Florian Meyer, Franz Hlawatsch. 972-979 [doi]
• A Generalized Labeled Multi-Bernoulli filter for maneuvering targetsYuthika Punchihewa, Ba-Ngu Vo, Ba-Tuong Vo. 980-986 [doi]
• Visual Bayesian fusion to navigate a data lakeKaramjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff. 987-994 [doi]
• Robust estimation of value-at-risk through correlated frequency and severity modelSabyasachi Guharay, K. C. Chang, Jie Xu. 995-1002 [doi]
• Fusion with sentiment scores for market researchSubrata Das, Arup Das. 1003-1010 [doi]
• Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing modelsTodd W. Martin, Kuo-Chu Chang. 1011-1018 [doi]
• Optimal asset allocation with mutual informationK. C. Chang, Zhi Tian. 1019-1026 [doi]
• Covariance intersection in track-to-track fusion without memoryJirí Ajgl, Ondrej Straka. 1027-1033 [doi]
• Comparison of optimal distributed estimation and consensus filteringChee Yee Chong, Kuo-Chu Chang, Shozo Mori. 1034-1041 [doi]
• Distributed Kalman filtering with data-driven communicationGiorgio Battistelli, Luigi Chisci, Daniela Selvi. 1042-1048 [doi]
• Factorized covariance intersection for scalable partial state decentralized data fusionNisar R. Ahmed, William W. Whitacre, Sangwoo Moon, Eric W. Frew. 1049-1056 [doi]
• Minimum information loss fusion in distributed sensor networksDaniel Clarke. 1057-1062 [doi]
• Sequential Monte Carlo estimation of transition probabilities in mixture filtering problemsMilan Papez. 1063-1070 [doi]
• Monte Carlo set-membership filtering for nonlinear dynamic systemsZhiguo Wang, Xiaojing Shen, Yunmin Zhu, Jianxin Pan. 1071-1078 [doi]
• Attractor-directed particle filtering with potential fieldsPatrick de Oude, Gregor Pavlin, Rik Claessens. 1079-1086 [doi]
• Set-membership filtering using random samplesPei Hua Leong, Girish N. Nair. 1087-1094 [doi]
• Improvement of the laplace-based particle filter for track-before-detectChristian Musso, Frédéric Champagnat, Olivier Rabaste. 1095-1102 [doi]
• The notched probabilistic data association filterAli Onder Bozdogan, Murat Efe. 1103-1110 [doi]
• A structured mean field approach for existence-based multiple target trackingRoslyn A. Lau, Jason L. Williams. 1111-1118 [doi]
• Quanta tracking algorithm for multiple moving targetsDarin T. Dunham, Peter K. Willett, Terry L. Ogle, Balakumar Balasingam. 1119-1124 [doi]
• Labeled multi-object tracking algorithms for generic observation modelSuqi Li, Wei Yi, Bailu Wang, Lingjiang Kong. 1125-1131 [doi]
• Helicopter tracking and classification with multiple interacting multiple model estimator with out-of-sequence acoustic and EO measurementsHong An Jack Huang, Rong Yang, Gee Wah Ng, Yaakov Bar-Shalom. 1132-1139 [doi]
• Space Object classification using deep Convolutional Neural NetworksRichard Linares, Roberto Furfaro. 1140-1146 [doi]
• Joint fault detection, identification, and state estimation based on conditional joint decision and estimationQingqiang Ji, Jian Lan, X. Rong Li. 1147-1154 [doi]
• Object recognition and identification using ESM dataEhsan Taghavi, Dan Song, Ratnasingham Tharmarasa, Thia Kirubarajan, Anne-Claire Boury-Brisset, Bhashyam Balaji. 1155-1162 [doi]
• Maximum entropy feature fusionPaul M. Baggenstoss. 1163-1169 [doi]
• Multi-sensor image fusion and target classification for improved maritime domain awarenessMichail Pothitos, Murali Tummala, James Scrofani, John C. McEachen. 1170-1177 [doi]
• Second-order extended Kalman filter for extended object and group trackingShishan Yang, Marcus Baum. 1178-1184 [doi]
• Extension-deformation approach to extended object trackingXiaomeng Cao, Jian Lan, X. Rong Li. 1185-1192 [doi]
• Rao-Blackwellised particle filter for star-convex extended target tracking modelsEmre Özkan, Niklas Wahlstrom, Simon J. Godsill. 1193-1199 [doi]
• Using separable likelihoods for laser-based vehicle tracking with a Labeled Multi-Bernoulli filterAlexander Scheel, Stephan Reuter, Klaus Dietmayer. 1200-1207 [doi]
• Sparse structure inference for group and network trackingJames K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill. 1208-1214 [doi]
• OctaCoG alignment: A fast and reliable alternative to iterative alignment schemesAndreas Beyer, Yu Liu, Susanne Krömker. 1215-1222 [doi]
• Simultaneous target state and passive sensors bias estimationDjedjiga Belfadel, Yaakov Bar-Shalom, Peter Willett. 1223-1227 [doi]
• Vehicle logo recognition by spatial-SIFT combined with logistic regressionRuilong Chen, Matthew B. Hawes, Lyudmila Mihaylova, Jingjing Xiao, Wei Liu. 1228-1235 [doi]
• A novel night vision image color fusion method based on scene recognitionZhe Qu, Gang Xiao, Ningwen Xu, Zhuoran Diao, Jia-Zhou He. 1236-1243 [doi]
• Geometric separation of superimposed imagesMitul M. Mehta, Elias J. Griffith, Simon Maskell, Jason F. Ralph. 1244-1251 [doi]
• Variational bayesian approach for joint multitarget tracking of multiple detection systemsHua Lan, Quan Pan, Feng Yang, Shuai Sun, Lin Li. 1260-1267 [doi]
• On fusion of sensor measurements and observation with uncertain timestamp for target trackingClas Veiback, Gustaf Hendeby, Fredrik Gustafsson. 1268-1275 [doi]
• Multi-path multi-rate filter for OTHR based tracking systemsHang Geng, Yan Liang, Xiaoxu Wang, Feng Yang, Linfeng Xu, Quan Pan. 1276-1283 [doi]
• Constrained testing and estimation for Bayesian joint decision and estimationYongxin Gao, Enbin Song, X. Rong Li. 1284-1291 [doi]
• Principles of subjective networksAudun Jøsang, Lance M. Kaplan. 1292-1299 [doi]
• Efficient Subjective Bayesian network belief propagation for treesLance M. Kaplan, Magdalena Ivanovska. 1300-1307 [doi]
• Comparative study of focal distance measures in theory of belief functionsYi Yang, Deqiang Han, Jean Dezert, Yan Lin. 1308-1315 [doi]
• Evidential Label Propagation Algorithm for GraphsKuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu. 1316-1323 [doi]
• Total conflict redistribution rule for evidential fusionFaouzi Sebbak, Farid Benhammadi. 1324-1331 [doi]
• Distributed multi-sensor fusion using generalized multi-bernoulli densitiesMeng Jiang, Wei Yi, Reza Hoseinnezhad, Lingjiang Kong. 1332-1339 [doi]
• Distributed localisation of sensors with partially overlapping field-of-views in fusion networksMurat Üney, Bernard Mulgrew, Daniel E. Clark. 1340-1347 [doi]
• A scalable and distributed solution to the inertial motion capture problemManon Kok, Sina Khoshfetrat Pakazad, Anders Hansson, Jeroen D. Hol. 1348-1355 [doi]
• Distributed consensus in noisy wireless sensor networksBoyuan Li, Henry Leung, Chatura Seneviratne. 1356-1363 [doi]
• Emitter detection system design with range dependent observationsHuimin Chen, Shudong Zhang. 1364-1368 [doi]
• Particle Gaussian Mixture (PGM) filtersD. Raihan, Suman Chakravorty. 1369-1376 [doi]
• Topological learning for acoustic signal identificationAndrew Marchese, Vasileios Maroulas. 1377-1381 [doi]
• Fusion of privileged features for efficient classifier trainingRoman Ilin, Rauf Izmailov, Yuri Goncharov, Simon Streltsov. 1382-1389 [doi]
• Degree of nonlinearity (DoN) measure for target tracking in videosPing Wang, Erik Blasch, X. Rong Li, Eric K. Jones, Randy Hanak, Weihong Yin, Allison Beach, Paul Brewer. 1390-1397 [doi]
• A GPU-based implementation of a sensor tasking methodologyMonther Abusultan, S. Chakravorty, Sunil P. Khatri. 1398-1405 [doi]
• Improved DP-TBD methods based on multiple hypothesis testing for target early detectionJinghe Wang, Wei Yi, Lingjiang Kong. 1406-1413 [doi]
• A FEHT algorithm for detecting and tracking VLO targetsYunfei Guo, Guoquan Chen, Xiaofeng Zheng. 1414-1419 [doi]
• A hough transform based approach to acoustic shot localizationYifu Luo, János Sallai, Ákos Lédeczi. 1420-1426 [doi]
• A tracking approach for low observable target using plot-sequences of multi-frame detectionZicheng Fang, Wei Yi, Lingjiang Kong. 1427-1433 [doi]
• Dynamic compressed sensing based track-before-detect algorithm for dim target trackingLinghao Zeng, Jing Liu, Chongzhao Han. 1434-1439 [doi]
• Extended kernel-based location fingerprinting in wireless sensor networksZhansheng Duan, Qi Zhou, Uwe D. Hanebeck. 1440-1447 [doi]
• Feasibility study on smartphone localization using mobile anchors in search and rescue operationsJacob Sundqvist, Jonas Ekskog, Bram J. Dil, Fredrik Gustafsson, Jesper Tordenlid, Michael Petterstedt. 1448-1453 [doi]
• Fusion of TOF and TDOA for 3GPP positioningKamiar Radnosrati, Carsten Fritsche, Gustaf Hendeby, Fredrik Gunnarsson, Fredrik Gustafsson. 1454-1460 [doi]
• Gaussian processes for flow modeling and prediction of positioned trajectories evaluated with sports dataYuxin Zhao, Feng Yin, Fredrik Gunnarsson, Fredrik Hultkratz, Johan Fagerlind. 1461-1468 [doi]
• A novel multi-step algorithm for low-energy positioning using GPSDaniel Orn, Martin Szilassy, Bram Dil, Fredrik Gustafsson. 1469-1476 [doi]
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