Edge Assisted Mobile Visual SLAM PDF Download

Author: Jingao Xu
Publisher: Springer Nature
ISBN: 9819735734
Category :
Languages : en
Pages : 199

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Author: Zhouchen Lin
Publisher: Springer Nature
ISBN: 9819787920
Category :
Languages : en
Pages : 585

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Author: Chenshu Wu
Publisher: Springer
ISBN: 9811303568
Category : Computers
Languages : en
Pages : 225

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Book Description
This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.

Author: Suneeta Satpathy
Publisher: CRC Press
ISBN: 1000894932
Category : Computers
Languages : en
Pages : 292

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Book Description
The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.

Author: Fernando Santos Osório
Publisher: Springer
ISBN: 331947247X
Category : Computers
Languages : en
Pages : 311

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Book Description
This book constitutes the refereed proceedings of the 12th Latin American Robotics Symposium and Third Brazilian Symposium on Robotics, LARS 2015 / SBR 2015, held in Uberlândia, Brazil, in October/November 2015. The 17 revised full papers presented were carefully reviewed and selected from 80 submissions. The selected papers present a complete and solid reference of the state-of-the-art of intelligent robotics and automation research, covering the following areas: autonomous mobile robots, tele-operated and telepresence robots, human-robot interaction, trajectory control for mobile robots, autonomous vehicles, service-oriented robotic systems, semantic mapping, environment mapping, visual odometry, applications of RGB-D sensors, humanoid and biped robots, Robocup soccer robots, robot control, path planning, multiple vehicles and teams of robots. /div

Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727

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Author: Yunhao Liu
Publisher: Springer Nature
ISBN: 9819731763
Category :
Languages : en
Pages : 214

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Book Description

Author: Jian Dong
Publisher: Springer Nature
ISBN: 981972757X
Category :
Languages : en
Pages : 655

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Book Description

Author: Oliver Hohlfeld
Publisher: Springer Nature
ISBN: 303098785X
Category : Computers
Languages : en
Pages : 691

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Book Description
This book constitutes the proceedings of the 23rd International Conference on Passive and Active Measurement, PAM 2022, held in March 2022. Due to COVID-19 pandemic, the conference was held virtually. The 15 full papers and 15 short papers presented in this volume were carefully reviewed and selected from 62 submissions. The papers present emerging and early-stage research in network measurements – work that seeks to better understand complex, real-world networked systems and offer critical empirical foundations and support to network research.

Author: Dr. Munish Jindal
Publisher: Blue Hill Publications
ISBN: 9392929455
Category : Education
Languages : en
Pages : 232

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Book Description
Automation and artificial intelligence (AI) are transforming the world and contributing to the overall economic growth with futuristic approach. Automation and AI are future decoded, with the recent technological progress pushing the frontier of what machines can do and doing till today. This book provides insights that society needs these improvements to provide value to contribute to the growth and make onceunimaginable progress on some of our most difficult societal challenges. AI has made especially large strides in recent years, as machine-learning algorithms have become more sophisticated and made use of huge increases in computing power and of the exponential growth in data available to train them. These technologies are already generating value in various products and services, and companies across sectors use them in an array of processes to personalize product recommendations, to making you pro in sports, to making you commute, as well as assisting you in growing more food, healthy food, providing you holistic living.