Multi Object Tracking Using Random Finite Sets
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| Author | : Weihua Wu |
| Publisher | : Springer Nature |
| Total Pages | : 449 |
| Release | : 2023-08-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811998159 |
This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.
| Author | : John Stephen Mullane |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 161 |
| Release | : 2011-05-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3642213898 |
The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both ground based and marine based facilities.
| Author | : Stephan Reuter |
| Publisher | : |
| Total Pages | : 214 |
| Release | : 2014 |
| Genre | : |
| ISBN | : 9783941543126 |
| Author | : |
| Publisher | : Cambridge University Press |
| Total Pages | : 389 |
| Release | : 2011-07-28 |
| Genre | : Mathematics |
| ISBN | : 0521876281 |
Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.
| Author | : Susanne Biundo |
| Publisher | : Springer |
| Total Pages | : 504 |
| Release | : 2017-12-04 |
| Genre | : Computers |
| ISBN | : 3319436651 |
Future technical systems will be companion systems, competent assistants that provide their functionality in a completely individualized way, adapting to a user’s capabilities, preferences, requirements, and current needs, and taking into account both the emotional state and the situation of the individual user. This book presents the enabling technology for such systems. It introduces a variety of methods and techniques to implement an individualized, adaptive, flexible, and robust behavior for technical systems by means of cognitive processes, including perception, cognition, interaction, planning, and reasoning. The technological developments are complemented by empirical studies from psychological and neurobiological perspectives.
| Author | : Roy Streit |
| Publisher | : Springer Nature |
| Total Pages | : 221 |
| Release | : 2020-11-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3030611914 |
The book shows that the analytic combinatorics (AC) method encodes the combinatorial problems of multiple object tracking—without information loss—into the derivatives of a generating function (GF). The book lays out an easy-to-follow path from theory to practice and includes salient AC application examples. Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory starting from the simplest problem of single object tracking, and advancing chapter by chapter to more challenging multi-object tracking problems. Many established tracking filters (e.g., Bayes-Markov, PDA, JPDA, IPDA, JIPDA, CPHD, PHD, multi-Bernoulli, MBM, LMBM, and MHT) are derived in this manner with simplicity, economy, and considerable clarity. The AC method gives significant and fresh insights into the modeling assumptions of these filters and, thereby, also shows the potential utility of various approximation methods that are well established techniques in applied mathematics and physics, but are new to tracking. These unexplored possibilities are reviewed in the final chapter of the book.
| Author | : Wenxing Fu |
| Publisher | : Springer Nature |
| Total Pages | : 3985 |
| Release | : 2023-03-10 |
| Genre | : Technology & Engineering |
| ISBN | : 981990479X |
This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
| Author | : Reza Hoseinnezhad |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 177 |
| Release | : 2024-09-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1036411834 |
This book provides a comprehensive exploration of labeled multi-Bernoulli filters, focusing primarily on dynamic multi-object tracking from point detections such as those given by radars. It includes essential theory and practical code examples to help even beginners develop their own tracking systems. The techniques presented can be easily adapted for a wide range of applications with minimal effort. It is ideal for professionals in robotics, automotive engineering, public safety, and network management, who require dependable multi-object tracking technologies. Although it does not discuss other applications directly, the flexible nature of the solutions allows them to be tailored to meet the unique challenges and requirements of various fields, such as autonomous vehicles, surveillance systems, mobile network management, and more specialized areas like maritime surveillance and air traffic control.
| Author | : Xinyu Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 237 |
| Release | : |
| Genre | : |
| ISBN | : 9819932807 |
| Author | : Hassen Fourati |
| Publisher | : CRC Press |
| Total Pages | : 639 |
| Release | : 2017-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1482263750 |
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
