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Titlebook: Intelligent Autonomous Systems 16; Proceedings of the 1 Marcelo H. Ang Jr,Hajime Asama,Shaohui Foong Conference proceedings 2022 The Editor

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书目名称Intelligent Autonomous Systems 16
副标题Proceedings of the 1
编辑Marcelo H. Ang Jr,Hajime Asama,Shaohui Foong
视频video
概述Presents the latest research and innovations in intelligent autonomous systems.Addresses the emerging role of autonomous robots in industrial production.Offers a rich source of ideas for new research
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent Autonomous Systems 16; Proceedings of the 1 Marcelo H. Ang Jr,Hajime Asama,Shaohui Foong Conference proceedings 2022 The Editor
描述.This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design—as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986..Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com.
出版日期Conference proceedings 2022
关键词Autonomous Systems; Computational Intelligence; Intelligent Systems; Robotics; Biorobotics; Embodied-Brai
版次1
doihttps://doi.org/10.1007/978-3-030-95892-3
isbn_softcover978-3-030-95891-6
isbn_ebook978-3-030-95892-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Intelligent Autonomous Systems 16978-3-030-95892-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
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ALOT: Augmented Localization with Obstacle Trackinge to allow the tracker to update its tracking and further propose ego-poses at the next time-step. ALOT is tested on real-world data collected in a laboratory. In low to moderately dynamic environments, it achieves an average positional and heading errors of 0.171 m and 1.63. respectively. When run
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RTS-vSLAM: Real-Time Visual Semantic Tracking and Mapping Under Dynamic Environmentsal-time. The proposed system is evaluated using the TUM RGB-D dataset and compared tracking errors with the state-of-the-art vSLAM methods under dynamic environments. RTS-vSLAM outperforms the others in tracking accuracy in a highly dynamic scenario and reduces the time delays greatly.
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3D Nominal Scene Reconstruction for Object Localization and UAS Navigationo be able to do 3D nominal scene reconstruction through video input from a single onboard 2D camera for object localization and navigation. A nominal scene reconstruction will be sufficient for UAS navigation as it only has to be aware of its proximity to corners and surfaces, to be able to avoid th
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