Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management

Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management

Author: Jesús Garcia

Publisher: Artech House

Published: 2023-07-31

Total Pages: 317

ISBN-13: 1630819840

DOWNLOAD EBOOK

Unmanned aerial systems (UAS) have evolved rapidly in recent years thanks to advances in microelectromechanical components, navigation, perception, and artificial intelligence, allowing for a fast development of autonomy. This book presents general approaches to develop, test, and evaluate critical functions such as navigation, obstacle avoidance and perception, and the capacity to improve performance in real and simulated scenarios. It provides the practical knowledge to install, analyze and evaluate UAS solutions working in real systems; illustrates how to use and configure complete platforms and software tools; and reviews the main enabling technologies applied to develop UAS, possibilities and evaluation methodology. You will get the tools you need to evaluate navigation and obstacle avoidance functions, object detection, and planning and landing alternatives in simulated conditions. The book also provides helpful guidance on the integration of additional sensors (video, weather, meteorological) and communication networks to build IoT solutions. This is an important book for practitioners and researchers interested in integrating advanced techniques in the fields of AI, sensor fusion and mission management, and anyone interest in applying and testing advanced algorithms in UAS platforms.


Engineering UAS Applications

Engineering UAS Applications

Author: Jesús Garcia

Publisher:

Published:

Total Pages: 0

ISBN-13: 9781630819835

DOWNLOAD EBOOK

This book presents general approaches to develop, test, and evaluate critical functions of Unmanned Aerial Systems (UAS) such as navigation, obstacle avoidance and perception, and the capacity to improve performance in real and simulated scenarios. It provides the practical knowledge to install, analyze and evaluate UAS solutions working in real systems; illustrates how to use and configure complete platforms and software tools; and reviews the main enabling technologies applied to develop UAS, possibilities and evaluation methodology. This is an important book for practitioners and researchers interested in integrating advanced techniques in the fields of AI, sensor fusion and mission management.


Cold War 2.0

Cold War 2.0

Author: George S. Takach

Publisher: Simon and Schuster

Published: 2024-03-05

Total Pages: 326

ISBN-13: 1639365648

DOWNLOAD EBOOK

A vivid, thoughtful examination of how technological innovation—especially AI—is shaping the tensions between democracy and autocracy during the new Cold War. So much of what we hear about China and Russia today likens the relationship between these two autocracies and the West to a “rivalry” or a “great-power competition.” Some might consider it alarmist to say we are in the midst of a second Cold War, but that may be the only responsible way to describe today’s state of affairs. What’s more, we have come a long way from Mao Zedong’s infamous observation that “political power grows out of the barrel of a gun.” Now we live in an age more aptly described by Vladimir Putin’s cryptic prophecy that “artificial intelligence is the future not only of Russia, but of all mankind, and whoever becomes the leader in this sphere will become ruler of the world.” George S. Takach’s incisive and meticulously researched new volume, Cold War 2.0, is the book we need to thoroughly understand these frightening and perilous times. In the geopolitical sphere, there are no more pressing issues than the appalling mechanizations of a surveillance state in China, Russia’s brazen attempt to assert its autocratic model in Ukraine, and China’s increasingly likely plans to do the same in Taiwan. But the key here, Takach argues, is that our new Cold War is not only ideological but technological: the side that prevails in Cold War 2.0 will be the one that bests the other in mastering the greatest innovations of our time. Artificial intelligence sits in our pockets every day—but what about AI that coordinates military operations and missile defense systems? Or the highly sophisticated semiconductor chips and quantum computers that power those missiles and a host of other weapons? And, where recently we have seen remarkable feats of bio-engineering to produce vaccines at record speed, shouldn’t we be concerned how catastrophic it would be if bio-engineering were co-opted for nefarious purposes? Takach thoroughly examines how each of these innovations will shape the tension between democracy and autocracy, and how each will play a central role in this second Cold War. Finally, he crafts a precise blueprint for how Western democracies should handle these innovations to respond to the looming threat of autocracy—and ultimately prevail over it.


Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Author: Ni-Bin Chang

Publisher: CRC Press

Published: 2018-02-21

Total Pages: 627

ISBN-13: 1351650637

DOWNLOAD EBOOK

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.


Multisensor Data Fusion

Multisensor Data Fusion

Author: David Hall

Publisher: CRC Press

Published: 2001-06-20

Total Pages: 564

ISBN-13: 1420038540

DOWNLOAD EBOOK

The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut


Proceedings of Data Analytics and Management

Proceedings of Data Analytics and Management

Author: Ashish Khanna

Publisher: Springer Nature

Published: 2023-03-24

Total Pages: 890

ISBN-13: 9811976155

DOWNLOAD EBOOK

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.