Probabilistic Framework For Sensor Management
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Probabilistic Framework For Sensor Management
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Author : Marco Huber
language : en
Publisher: KIT Scientific Publishing
Release Date : 2009
Probabilistic Framework For Sensor Management written by Marco Huber and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic computers. Computer science categories.
A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.
Aviation And Human Factors
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Author : Jose Sanchez-Alarcos
language : en
Publisher: CRC Press
Release Date : 2019-06-19
Aviation And Human Factors written by Jose Sanchez-Alarcos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-19 with Transportation categories.
Air safety is right now at a point where the chances of being killed in an aviation accident are far lower than the chances to winning a jackpot in any of the major lotteries. However, keeping or improving that performance level requires a critical analysis of some events that, despite scarce, point to structural failures in the learning process. The effect of these failures could increase soon if there is not a clear and right development path. This book tries to identify what is wrong, why there are things to fix, and some human factors principles to keep in aircraft design and operations. Features Shows, through different events, how the system learns through technology, practices, and regulations and the pitfalls of that learning process Discusses the use of information technology in safety-critical environments and why procedural knowledge is not enough Presents air safety management as a successful process, but at the same time, failures coming from technological and organizational features are shown Offers ways to improve from the human factors side by getting the right lessons from recent events
Distributed Sensor Networks
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Author : S. Sitharama Iyengar
language : en
Publisher: CRC Press
Release Date : 2022-06-01
Distributed Sensor Networks written by S. Sitharama Iyengar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.This two volume set, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications. Volume 1 Image and Sensor Signal Processing includes: Distributed Sensing and Signal Processing; Information Fusion; and Power Management. Volume 2 Sensor Networking and Applications includes: Sensor Deployment; Adaptive Tasking; Self-Configuration; System Control; and Engineering Examples.
Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks
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Author : Muhammad Umar Farooq Qaisar
language : en
Publisher: Springer Nature
Release Date : 2025-08-23
Empowering Iot Reliability Network Management Sensing And Probabilistic Charging In Wireless Sensor Networks written by Muhammad Umar Farooq Qaisar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Computers categories.
This book provides a comprehensive exploration of both fundamental principles and practical engineering techniques. It places a strong emphasis on several key areas, including load balancing for IoT sensor devices through effective network management to ensure robust communication reliability among these sensor devices. It also delves into the intricacies of efficient charging scheduling for sensor devices, using probabilistic approaches and integrated sensing and communication technologies to enhance network optimization. Central to the book's goals is its comprehensive and systematic treatment of practical challenges in IoT network optimization. This focus makes it particularly suitable for readers seeking practical solutions in this area. The book's target audience includes researchers, engineers, graduate students, and IoT industry professionals interested in areas such as reliability improvement, load balancing, charging scheduling, and network management. By providing both theoretical foundations and practical insights, this book serves as a valuable resource for those seeking to navigate the complexities of IoT network optimization.
Simultaneous Tracking And Shape Estimation Of Extended Objects
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Author : Baum, Marcus
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-07-30
Simultaneous Tracking And Shape Estimation Of Extended Objects written by Baum, Marcus and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-30 with Computers categories.
This work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem, and ii) the lack of statistical knowledge about possible measurement sources on the extended object.
Deterministic Sampling For Nonlinear Dynamic State Estimation
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Author : Gilitschenski, Igor
language : en
Publisher: KIT Scientific Publishing
Release Date : 2016-04-19
Deterministic Sampling For Nonlinear Dynamic State Estimation written by Gilitschenski, Igor and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Electronic computers. Computer science categories.
The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.
Directional Estimation For Robotic Beating Heart Surgery
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Author : Kurz, Gerhard
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-05-26
Directional Estimation For Robotic Beating Heart Surgery written by Kurz, Gerhard and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Electronic computers. Computer science categories.
In robotic beating heart surgery, a remote-controlled robot can be used to carry out the operation while automatically canceling out the heart motion. The surgeon controlling the robot is shown a stabilized view of the heart. First, we consider the use of directional statistics for estimation of the phase of the heartbeat. Second, we deal with reconstruction of a moving and deformable surface. Third, we address the question of obtaining a stabilized image of the heart.
Tracking Extended Objects In Noisy Point Clouds With Application In Telepresence Systems
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Author : Faion, Florian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2016-09-13
Tracking Extended Objects In Noisy Point Clouds With Application In Telepresence Systems written by Faion, Florian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-13 with Technology (General) categories.
We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art.
State Estimation For Distributed Systems With Stochastic And Set Membership Uncertainties
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Author : Noack, Benjamin
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-01-02
State Estimation For Distributed Systems With Stochastic And Set Membership Uncertainties written by Noack, Benjamin and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-02 with Technology & Engineering categories.
State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.
Learning Dynamic Systems For Intention Recognition In Human Robot Cooperation
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Author : Peter Krauthausen
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-07-31
Learning Dynamic Systems For Intention Recognition In Human Robot Cooperation written by Peter Krauthausen and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-31 with Computers categories.
This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.