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Collaborative perception, localizati...

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Collaborative perception, localization and mapping for autonomous systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Collaborative perception, localization and mapping for autonomous systemsby Yufeng Yue, Danwei Wang.
作者:	Yue, Yufeng.
其他作者:	Wang, Danwei.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xii, 141 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Autonomous robots.
電子資源:	https://doi.org/10.1007/978-981-15-8860-0
ISBN:	9789811588600$q(electronic bk.)

Collaborative perception, localization and mapping for autonomous systems
Yue, Yufeng.

Collaborative perception, localization and mapping for autonomous systems[electronic resource] /by Yufeng Yue, Danwei Wang. - Singapore :Springer Singapore :2021. - xii, 141 p. :ill., digital ;24 cm. - Springer tracts in autonomous systems,v.22662-5539 ;. - Springer tracts in autonomous systems ;v.1..

Introduction -- Technical Background -- Point Registration Approach for Map Fusion -- Submap-Based Probabilistic Inconsistency Detection -- Hierarchical Map Fusion Framework with Homogeneous Sensors -- Collaborative 3D Mapping using Heterogeneous Sensors -- All-Weather Collaborative Mapping with Dynamic Objects -- Collaborative Probabilistic Semantic Mapping using CNN.

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.

ISBN: 9789811588600$q(electronic bk.)

Standard No.: 10.1007/978-981-15-8860-0doiSubjects--Topical Terms:

199827
Autonomous robots.

LC Class. No.: TJ211.495 / .Y84 2021

Dewey Class. No.: 629.892

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505 0 $a Introduction -- Technical Background -- Point Registration Approach for Map Fusion -- Submap-Based Probabilistic Inconsistency Detection -- Hierarchical Map Fusion Framework with Homogeneous Sensors -- Collaborative 3D Mapping using Heterogeneous Sensors -- All-Weather Collaborative Mapping with Dynamic Objects -- Collaborative Probabilistic Semantic Mapping using CNN.
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