Gaussian mixture CPHD filter with gating technique
Signal Processing
Localization of multiple emitters based on the sequential PHD filter
Signal Processing
Sequential estimation of multipath MIMO-OFDM channels
IEEE Transactions on Signal Processing
The cardinality balanced multi-target multi-Bernoulli filter and its implementations
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
The bin-occupancy filter and its connection to the PHD filters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Tracking random finite objects using 3D-LIDAR in marine environments
Proceedings of the 2010 ACM Symposium on Applied Computing
Multi-target tracking with poisson processes observations
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
IEEE Transactions on Signal Processing
Mobile multi-target tracking in two-tier hierarchical wireless sensor networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
FISST-SLAM: Finite Set Statistical Approach to Simultaneous Localization and Mapping
International Journal of Robotics Research
Brief paper: Sensor control for multi-object state-space estimation using random finite sets
Automatica (Journal of IFAC)
Cubature kalman filtering for continuous-discrete systems: theory and simulations
IEEE Transactions on Signal Processing
Joint detection and estimation of multiple objects from image observations
IEEE Transactions on Signal Processing
Visual tracking of multiple targets by multi-bernoulli filtering of background subtracted image data
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Mobile robotics in a random finite set framework
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Detection-guided multi-target Bayesian filter
Signal Processing
Improved particle filters for multi-target tracking
Journal of Computational Physics
A modified d-s decision-making algorithm for multi-sensor target identification
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Laser and Radar Based Robotic Perception
Foundations and Trends in Robotics
Visual tracking of numerous targets via multi-Bernoulli filtering of image data
Pattern Recognition
Distributed filtering over sensor networks for autonomous navigation of UAVs
Intelligent Service Robotics
Dim target tracking base on GM-PHD filter
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Objective priors from maximum entropy in data classification
Information Fusion
Multimedia Tools and Applications
Segregating event streams and noise with a Markov renewal process model
The Journal of Machine Learning Research
Handling data uncertainty and inconsistency using multisensor data fusion
Advances in Artificial Intelligence
| Hi-index | 0.10 |
This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST) - a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets. You find a rigorous Bayesian unification for many aspects of expert systems theory. Moreover, the book presents systematic integral and differential calculus for multisource-multitarget problems, providing a methodology for devising rigorous new techniques. This accessible and detailed book is supported with over 3,000 equations, 90 clear examples, 70 explanatory figures, and 60 exercises with solutions.