Probabilistic Search For Tracking Targets

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Probabilistic Search for Tracking Targets

Author : Irad Ben-Gal
Publisher : John Wiley & Sons
ISBN 13 : 1118597044
Total Pages : 367 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Probabilistic Search for Tracking Targets by : Irad Ben-Gal

Download or read book Probabilistic Search for Tracking Targets written by Irad Ben-Gal and published by John Wiley & Sons. This book was released on 2013-03-25 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search uncertainty under incomplete information, probabilistic search scheme, observation errors, group testing, search games, distribution of search efforts, single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence and heuristic information-seeking methods. Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening. Probabilistic Search for Tracking Targets includes complete material for undergraduate and graduate courses in modern applications of probabilistic search, decision-making and group testing, and provides several directions for further research in the search theory. The authors: Provide a generalized information-theoretic approach to the problem of real-time search for both static and moving targets over a discrete space. Present a theoretical framework, which covers known information-theoretic algorithms of search, and forms a basis for development and analysis of different algorithms of search over probabilistic space. Use numerous examples of group testing, search and path planning algorithms to illustrate direct implementation in the form of running routines. Consider a relation of the suggested approach with known search theories and methods such as search and screening theory, search games, Markov decision process models of search, data mining methods, coding theory and decision trees. Discuss relevant search applications, such as quality-control search for nonconforming units in a batch or a military search for a hidden target. Provide an accompanying website featuring the algorithms discussed throughout the book, along with practical implementations procedures.

Probabilistic Search for Tracking Targets

Author : Irad Ben-Gal
Publisher : Wiley
ISBN 13 : 9781118597040
Total Pages : 352 pages
Book Rating : 4.5/5 (97 download)

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Book Synopsis Probabilistic Search for Tracking Targets by : Irad Ben-Gal

Download or read book Probabilistic Search for Tracking Targets written by Irad Ben-Gal and published by Wiley. This book was released on 2013-03-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search uncertainty under incomplete information, probabilistic search scheme, observation errors, group testing, search games, distribution of search efforts, single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence and heuristic information-seeking methods. Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening. Probabilistic Search for Tracking Targets includes complete material for undergraduate and graduate courses in modern applications of probabilistic search, decision-making and group testing, and provides several directions for further research in the search theory. The authors: Provide a generalized information-theoretic approach to the problem of real-time search for both static and moving targets over a discrete space. Present a theoretical framework, which covers known information-theoretic algorithms of search, and forms a basis for development and analysis of different algorithms of search over probabilistic space. Use numerous examples of group testing, search and path planning algorithms to illustrate direct implementation in the form of running routines. Consider a relation of the suggested approach with known search theories and methods such as search and screening theory, search games, Markov decision process models of search, data mining methods, coding theory and decision trees. Discuss relevant search applications, such as quality-control search for nonconforming units in a batch or a military search for a hidden target. Provide an accompanying website featuring the algorithms discussed throughout the book, along with practical implementations procedures.

Human Behavior Understanding in Networked Sensing

Author : Paolo Spagnolo
Publisher : Springer
ISBN 13 : 3319108077
Total Pages : 463 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Human Behavior Understanding in Networked Sensing by : Paolo Spagnolo

Download or read book Human Behavior Understanding in Networked Sensing written by Paolo Spagnolo and published by Springer. This book was released on 2014-11-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including topics on systems design tools and techniques. Additionally, the book examines a varied range of applications. Features: contains valuable contributions from an international selection of leading experts in the field; presents a high-level introduction to the aims and motivations underpinning distributed sensing; describes decision-making algorithms in the presence of complex sensor networks; provides a detailed analysis of the design, implementation, and development of a distributed network of homogeneous or heterogeneous sensors; reviews the application of distributed sensing to human behavior understanding and autonomous intelligent vehicles; includes a helpful glossary and a list of acronyms.

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Author : Alam, Shafiq
Publisher : IGI Global
ISBN 13 : 1466660791
Total Pages : 397 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Biologically-Inspired Techniques for Knowledge Discovery and Data Mining by : Alam, Shafiq

Download or read book Biologically-Inspired Techniques for Knowledge Discovery and Data Mining written by Alam, Shafiq and published by IGI Global. This book was released on 2014-05-31 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques. Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Autonomous Mobile Robots and Multi-Robot Systems

Author : Eugene Kagan
Publisher : John Wiley & Sons
ISBN 13 : 1119213169
Total Pages : 415 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Autonomous Mobile Robots and Multi-Robot Systems by : Eugene Kagan

Download or read book Autonomous Mobile Robots and Multi-Robot Systems written by Eugene Kagan and published by John Wiley & Sons. This book was released on 2019-09-04 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systems This book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot’s location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions. Provides a self-contained, theoretical guide to understanding mobile robot control and navigation Features implementable algorithms, numerical examples, and simulations Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots Supplemented by a companion website offering codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues.

Search and Foraging

Author : Eugene Kagan
Publisher : CRC Press
ISBN 13 : 1482242109
Total Pages : 264 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Search and Foraging by : Eugene Kagan

Download or read book Search and Foraging written by Eugene Kagan and published by CRC Press. This book was released on 2015-06-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and intelligent machines. In particular, the methods of search and foraging are the benchmark problems for robotics and multi-agent systems. The highly developed theory of search and screening involves optimal search plans that ar

Multiple-Target Tracking and Data Fusion Via Probabilistic Mapping

Author :
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Multiple-Target Tracking and Data Fusion Via Probabilistic Mapping by :

Download or read book Multiple-Target Tracking and Data Fusion Via Probabilistic Mapping written by and published by . This book was released on 2000 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach is taken to address the various aspects of the multi-sensor, multi-target tracking (MTT) problem in dense and noisy environments. Instead of fixing the trackers on the potential targets as the conventional tracking algorithms do, this new approach is fundamentally different in that an array of parallel-distributed trackers is laid in the search space. The difficult data-track association problem that has challenged the conventional trackers becomes a nonissue with this new approach. By partitioning the search space into cells, this new approach, called PMAP (probabilistic mapping), dynamically calculates the spatial probability distribution of targets in the search space via Bayesian updates. The distribution is spread at each time step, following a fairly general Markov-chain target motion model, to become the prior probabilities of the next scan. This framework can effectively handle data from multiple sensors and incorporate contextual information, such as terrain and weather, by performing a form of evidential reasoning. Used as a pre-filtering device, the PMAP is shown to remove noiselike false alarms effectively, while keeping the target dropout rate very low. This gives the downstream track linker a much easier job to perform. A related benefit is that with PMAP it is now possible to lower the detection threshold and to enjoy high probability of detection and low probability of false alarm at the same time, thereby improving overall tracking performance. The feasibility of using PMAP to track specific targets in an end-game scenario is also demonstrated. Both real and simulated data are used to illustrate the PMAP performance. The PMAP algorithm is parallel distributed in nature; for serial computer implementation, fast algorithms have been developed. Some related applications based on the PMAP approach, including a spatial-temporal sensor data fusion application and a gray-scale video sequence stacking application, are also discussed.

Analytical and Stochastic Modeling Techniques and Applications

Author : Khalid Al-Begain
Publisher : Springer Science & Business Media
ISBN 13 : 3642135676
Total Pages : 419 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Analytical and Stochastic Modeling Techniques and Applications by : Khalid Al-Begain

Download or read book Analytical and Stochastic Modeling Techniques and Applications written by Khalid Al-Begain and published by Springer Science & Business Media. This book was released on 2010-06 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Analytical and Stochastic Modeling Techniques and Applications, ASMTA 2010, held in Cardiff, UK, in June 2010. The 28 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on queueing theory, specification languages and tools, telecommunication systems, estimation, prediction, and stochastic modelling.

Knowledge Based Radar Detection, Tracking and Classification

Author : Fulvio Gini
Publisher : John Wiley & Sons
ISBN 13 : 0470283149
Total Pages : 287 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Knowledge Based Radar Detection, Tracking and Classification by : Fulvio Gini

Download or read book Knowledge Based Radar Detection, Tracking and Classification written by Fulvio Gini and published by John Wiley & Sons. This book was released on 2008-06-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling. The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. The remaining nine chapters focus on current developments and recent applications of KB concepts to specific radar functions. Among the key topics explored are: Fundamentals of relevant KB techniques KB solutions as they apply to the general radar problem KBS applications for the constant false-alarm rate processor KB control for space-time adaptive processing KB techniques applied to existing radar systems Integrated end-to-end radar signals Data processing with overarching KB control All chapters are self-contained, enabling readers to focus on those topics of greatest interest. Each one begins with introductory remarks, moves on to detailed discussions and analysis, and ends with a list of references. Throughout the presentation, the authors offer examples of how KBS works and how it can dramatically improve radar performance and capability. Moreover, the authors forecast the impact of KB technology on future systems, including important civilian, military, and homeland defense applications. With chapters contributed by leading international researchers and pioneers in the field, this text is recommended for both students and professionals in radar and sonar detection, tracking, and classification and radar resource management.

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control

Author : Zhang Ren
Publisher : Springer Nature
ISBN 13 : 9811939985
Total Pages : 1902 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control by : Zhang Ren

Download or read book Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control written by Zhang Ren and published by Springer Nature. This book was released on 2022-07-29 with total page 1902 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.

Intelligent Autonomy of UAVs

Author : Yasmina Bestaoui Sebbane
Publisher : CRC Press
ISBN 13 : 1351339400
Total Pages : 421 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Intelligent Autonomy of UAVs by : Yasmina Bestaoui Sebbane

Download or read book Intelligent Autonomy of UAVs written by Yasmina Bestaoui Sebbane and published by CRC Press. This book was released on 2018-03-14 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. As such, this book aims to provide a systems engineering approach to UAV projects, discovering the real problems that need to be resolved independently of the application. After an introduction to the rapidly evolving field of aerial robotics, the book presents topics such as autonomy, mission analysis, human-UAV teams, homogeneous and heterogeneous UAV teams, and finally, UAV-UGV teams. It then covers generic robotic problems such as orienteering and coverage. The book next introduces deployment, patrolling, and foraging, while the last part of the book tackles an important application: aerial search, tracking, and surveillance. This book is meant for both scientists and practitioners. For practitioners, it presents existing solutions that are categorized according to various missions: surveillance and reconnaissance, 3D mapping, urban monitoring, precision agriculture, forestry, disaster assessment and monitoring, security, industrial plant inspection, etc. For scientists, it provides an overview of generic robotic problems such as coverage and orienteering; deployment, patrolling and foraging; search, tracking, and surveillance. The design and analysis of algorithms raise a unique combination of questions from many fields, including robotics, operational research, control theory, and computer science.

Mechatronics and Automation Technology

Author : J.-Y. Xu
Publisher : IOS Press
ISBN 13 : 1643684833
Total Pages : 696 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Mechatronics and Automation Technology by : J.-Y. Xu

Download or read book Mechatronics and Automation Technology written by J.-Y. Xu and published by IOS Press. This book was released on 2024-02-27 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronics and automation technology has led to technological change and innovation in all engineering fields, affecting various disciplines, including machine technology, electronics, and computing. It plays a vital role in improving production efficiency, reducing energy consumption and improving product quality and safety, and will be central to the further advancement of technology and industry, bringing convenience and innovation to even more areas. This book presents the proceedings of ICMAT 2023, the 2nd International Conference on Mechatronics and Automation Technology, held as a virtual event on 27 October 2023. The aim of the conference was to provide a platform for scientists, scholars, engineers and researchers from universities and scientific institutes around the world to share the latest research achievements in mechatronics and automation technology, explore key challenges and research directions, and promote the development and application of theory and technology in this field. A total of 121 submissions were received for the conference, of which 77 were ultimately accepted after a rigorous peer-review process. The papers cover a wide range of topics falling within the scope of mechatronics and automation technology, including smart manufacturing; digital manufacturing; additive manufacturing; robotics; sensors; control; electronic and electrical engineering; intelligent systems; and automation technology, as well as other related fields. Providing an overview of recent developments in mechatronics and automation technology, the book will be of interest to all those working in the field.

Probabilistic Graphical Models for Computer Vision.

Author : Qiang Ji
Publisher : Academic Press
ISBN 13 : 0128034955
Total Pages : 322 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Probabilistic Graphical Models for Computer Vision. by : Qiang Ji

Download or read book Probabilistic Graphical Models for Computer Vision. written by Qiang Ji and published by Academic Press. This book was released on 2019-12-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Information-Driven Planning and Control

Author : Silvia Ferrari
Publisher : MIT Press
ISBN 13 : 0262045427
Total Pages : 683 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Information-Driven Planning and Control by : Silvia Ferrari

Download or read book Information-Driven Planning and Control written by Silvia Ferrari and published by MIT Press. This book was released on 2021-07-06 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified framework for developing planning and control algorithms for active sensing, with examples of applications for specific sensor technologies. Active sensor systems, increasingly deployed in such applications as unmanned vehicles, mobile robots, and environmental monitoring, are characterized by a high degree of autonomy, reconfigurability, and redundancy. This book is the first to offer a unified framework for the development of planning and control algorithms for active sensing, with examples of applications for a range of specific sensor technologies. The methods presented can be characterized as information-driven because their goal is to optimize the value of information, rather than to optimize traditional guidance and navigation objectives.

Computational Science – ICCS 2019

Author : João M. F. Rodrigues
Publisher : Springer
ISBN 13 : 3030227340
Total Pages : 659 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computational Science – ICCS 2019 by : João M. F. Rodrigues

Download or read book Computational Science – ICCS 2019 written by João M. F. Rodrigues and published by Springer. This book was released on 2019-06-07 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Machine Learning Hybridization and Optimization for Intelligent Applications

Author : Tanvir Habib Sardar
Publisher : CRC Press
ISBN 13 : 1040130356
Total Pages : 367 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Machine Learning Hybridization and Optimization for Intelligent Applications by : Tanvir Habib Sardar

Download or read book Machine Learning Hybridization and Optimization for Intelligent Applications written by Tanvir Habib Sardar and published by CRC Press. This book was released on 2024-10-28 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.

Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)

Author : Meiping Wu
Publisher : Springer Nature
ISBN 13 : 9811694923
Total Pages : 3575 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) by : Meiping Wu

Download or read book Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) written by Meiping Wu and published by Springer Nature. This book was released on 2022-03-18 with total page 3575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the ICAUS 2021, 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 2021 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.