Collaborative Perception, Localization and Mapping for Autonomous Systems
Collaborative Perception, Localization and Mapping for Autonomous Systems

Author: Yufeng Yue

Publisher: Springer Nature

Published: 2020-11-13

Total Pages: 141

ISBN-13: 9811588600

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This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization–collaborative mapping for collaborative robot systems. The organization of the book allows the readers to analyze, model and design collaborative perception technology for autonomous robots. It presents the basic foundation in the field of collaborative robot systems and the fundamental theory and technical guidelines for collaborative perception and mapping. The book significantly promotes the development of autonomous systems from individual intelligence to collaborative intelligence by providing extensive simulations and real experiments results in the different chapters. This book caters to engineers, graduate students and researchers in the fields of autonomous systems, robotics, computer vision and collaborative perception.

Collaborative Perception from Data Association to Localization
Collaborative Perception from Data Association to Localization

Author: Spyridon Leonardos

Publisher:

Published: 2019

Total Pages: 370

ISBN-13:

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During the last decade, visual sensors have become ubiquitous. One or more cameras can be found in devices ranging from smartphones to unmanned aerial vehicles and autonomous cars. During the same time, we have witnessed the emergence of large scale networks ranging from sensor networks to robotic swarms.

Robotics and Cognitive Approaches to Spatial Mapping
Robotics and Cognitive Approaches to Spatial Mapping

Author: Margaret E. Jefferies

Publisher: Springer Science & Business Media

Published: 2008-01-10

Total Pages: 657

ISBN-13: 3540753869

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This important work is an attempt to synthesize two areas that need to be treated in tandem. The book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems. One would expect some cross-fertilization of research between the two areas to have occurred, yet this has begun only recently. There are now signs that some synthesis is happening, so this work is a timely one for students and engineers in robotics.

Dynamic and Precise Engineering Surveying
Dynamic and Precise Engineering Surveying

Author: Qingquan Li

Publisher: Springer Nature

Published: 2023-10-16

Total Pages: 518

ISBN-13: 981995942X

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Driven by the increasingly expanding needs of infrastructure construction, operation and maintenance, as well as the rapid developments of intelligent sensing and information technology, precise engineering surveying has been transformed from static, discrete, and manual into dynamic, continuous, and intelligent ways. This transformation leads to an advanced multidisciplinary field, dynamic and precise engineering surveying, on which the author has worked for over two decades. This book systematically summarizes the fundamentals, methods, and applications in dynamic and precise engineering surveying. The contents mainly include two parts: the first part introduces principles and methods of dynamic and precise engineering surveying; the second part presents representative applications in which innovative methods and advanced equipment are applied in the construction, operation and maintenance of mega and complex infrastructures. Readers engaged in surveying and mapping, civil engineering, water conservancy engineering, railway engineering, electronic information, and computer science, including undergraduates, graduates, researchers and engineers, will find it an informative reference.

Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems
Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems

Author: Yuanzhe Wang

Publisher: Springer Nature

Published: 2022-09-21

Total Pages: 160

ISBN-13: 9811957983

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This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.

Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods
Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods

Author: Fernández-Madrigal, Juan-Antonio

Publisher: IGI Global

Published: 2012-09-30

Total Pages: 497

ISBN-13: 1466621052

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As mobile robots become more common in general knowledge and practices, as opposed to simply in research labs, there is an increased need for the introduction and methods to Simultaneous Localization and Mapping (SLAM) and its techniques and concepts related to robotics. Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods investigates the complexities of the theory of probabilistic localization and mapping of mobile robots as well as providing the most current and concrete developments. This reference source aims to be useful for practitioners, graduate and postgraduate students, and active researchers alike.

CLAM, Collaborative Localization and Mapping Using Fiducial System and Exchangeable Range Sensors
CLAM, Collaborative Localization and Mapping Using Fiducial System and Exchangeable Range Sensors

Author: Jiayi Liu

Publisher:

Published: 2012

Total Pages: 246

ISBN-13:

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Traditional vision based localization and mapping frameworks rely heavily on the visual features in the environment. This thesis research proposes a Collaborative Localization and Mapping (CLAM) framework that eliminates the environmental dependency of robot localization and mapping. By using the visual fiducial system and a "leap-frogging" style robot motion, localization is achieved by accumulating inter-robot displacements provided by the fiducial system. This method also enables the functionality of exchangeable range sensing. Preliminary studies are conducted to characterize the real world performance of the fiducial system in order to improve the localization accuracy. Experimental results obtained in various distinctive indoor environments are shown and discussed. The proposed approach allows robot agents to localize in ill-posed environments and also provides a way of graceful degradation for robots dysfunctional in localization.range s

Robot Localization and Map Building
Robot Localization and Map Building

Author: Hanafiah Yussof

Publisher: BoD – Books on Demand

Published: 2010-03-01

Total Pages: 589

ISBN-13: 9537619834

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Localization and mapping are the essence of successful navigation in mobile platform technology. Localization is a fundamental task in order to achieve high levels of autonomy in robot navigation and robustness in vehicle positioning. Robot localization and mapping is commonly related to cartography, combining science, technique and computation to build a trajectory map that reality can be modelled in ways that communicate spatial information effectively. This book describes comprehensive introduction, theories and applications related to localization, positioning and map building in mobile robot and autonomous vehicle platforms. It is organized in twenty seven chapters. Each chapter is rich with different degrees of details and approaches, supported by unique and actual resources that make it possible for readers to explore and learn the up to date knowledge in robot navigation technology. Understanding the theory and principles described in this book requires a multidisciplinary background of robotics, nonlinear system, sensor network, network engineering, computer science, physics, etc.

Parallel and Distributed Map Merging and Localization
Parallel and Distributed Map Merging and Localization

Author: Rosario Aragues

Publisher: Springer

Published: 2015-11-10

Total Pages: 0

ISBN-13: 9783319258843

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This work examines the challenges of distributed map merging and localization in multi-robot systems, which enables robots to acquire the knowledge of their surroundings needed to carry out coordinated tasks. After identifying the main issues associated with this problem, each chapter introduces a different distributed strategy for solving them. In addition to presenting a review of distributed algorithms for perception in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot perception, as well as other interesting topics related to multi-robot scenarios. The coverage is largely self-contained, supported by numerous explanations and demonstrations, although references for further study are also supplied. The reader will not require any prior background knowledge, other than a basic understanding of mathematics at a graduate-student level.