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“Particle Filters for Random Set Models” presents coverage of state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based  on the Monte Carlo statistical method. The resulting  algorithms, known as particle filters, in the last decade have become one of the essential tools for stochastic filtering, with applications ranging from  navigation and autonomous vehicles to bio-informatics and finance. While particle filters have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. These recent developments have dramatically widened the scope of applications, from single to multiple appearing/disappearing objects, from precise to imprecise measurements and measurement models. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.

Estimation theory. --- Random sets. --- Stochastic processes. --- Random sets --- Stochastic processes --- Estimation theory --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Applied Physics --- Telecommunications --- Electrical Engineering --- Estimating techniques --- Random processes --- Engineering. --- Mathematical statistics. --- Artificial intelligence. --- Information theory. --- Computational intelligence. --- Signal, Image and Speech Processing. --- Information and Communication, Circuits. --- Probability and Statistics in Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Communication theory --- Communication --- Cybernetics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Construction --- Industrial arts --- Technology --- Statistical methods --- Least squares --- Mathematical statistics --- Geometric probabilities --- Set theory --- Mathematics. --- Computer science. --- Artificial Intelligence. --- Informatics --- Science --- Math --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)