國立高雄大學圖資館 |

Language: English

Back

Collaborative perception, localizati...

SpringerLink (Online service)

Collaborative perception, localization and mapping for autonomous systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Collaborative perception, localization and mapping for autonomous systemsby Yufeng Yue, Danwei Wang.
Author:	Yue, Yufeng.
other author:	Wang, Danwei.
Published:	Singapore :Springer Singapore :2021.
Description:	xii, 141 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Autonomous robots.
Online resource:	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

Collaborative perception, localization and mapping for autonomous systems
LDR:02404nmm a2200337 a 4500 001 595980
003 DE-He213
005 20201113200632.0
006 m d
007 cr nn 008maaau
008 211013s2021 si s 0 eng d
020 $a 9789811588600$q(electronic bk.)
020 $a 9789811588594$q(paper)
024 7 $a 10.1007/978-981-15-8860-0 $2 doi
035 $a 978-981-15-8860-0
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a TJ211.495 $b .Y84 2021
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
090 $a TJ211.495 $b .Y94 2021
100 1 $a Yue, Yufeng. $3 888555
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 0 $a Autonomous robots. $3 199827
650 1 4 $a Robotics and Automation. $3 357111
650 2 4 $a Robotics. $3 181952
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Wang, Danwei. $3 683144
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer tracts in autonomous systems ; $v v.1. $3 862787
856 4 0 $u https://doi.org/10.1007/978-981-15-8860-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)