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Collaborative perception, localizati...

Yue, Yufeng.

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Collaborative perception, localization and mapping for autonomous systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Collaborative perception, localization and mapping for autonomous systems/ by Yufeng Yue, Danwei Wang.
Author:	Yue, Yufeng.
other author:	Wang, Danwei.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xii, 141 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial Intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-8860-0
ISBN:	9789811588600

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.2..

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

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

769149
Artificial Intelligence.

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

Dewey Class. No.: 629.892

Collaborative perception, localization and mapping for autonomous systems
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245 1 0 $a Collaborative perception, localization and mapping for autonomous systems $h [electronic resource] / $c by Yufeng Yue, Danwei Wang.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 141 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer tracts in autonomous systems, $x 2662-5539 ; $v v.2
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.
520 $a 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.
650 2 4 $a Artificial Intelligence. $3 769149
650 0 $a Autonomous robots. $3 761611
650 1 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Robotics. $3 519753
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Wang, Danwei. $3 2071896
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830 0 $a Springer tracts in autonomous systems ; $v v.2. $3 3487862
856 4 0 $u https://doi.org/10.1007/978-981-15-8860-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)