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Ziegenbein J, Schrick M, Thiel M, Hinckeldeyn J, Kreutzfeldt J (2022). Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria. Logistics Journal : Proceedings, Vol. 2022. (urn:nbn:de:0009-14-56116)

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%0 Journal Article
%T Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria
%A Ziegenbein, Justin
%A Schrick, Manuel
%A Thiel, Marko
%A Hinckeldeyn, Johannes
%A Kreutzfeldt, Jochen
%J Logistics Journal : Proceedings
%D 2022
%V 2022
%N 18
%@ 2192-9084
%F ziegenbein2022
%X A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.
%L 620
%K Kartenerstellung
%K Kartenevaluation
%K Lokalisierung
%K Mobile Roboter
%K localization
%K map evaluation
%K mapping
%K mobile robots
%R 10.2195/lj_proc_ziegenbein_en_202211_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-56116
%U http://dx.doi.org/10.2195/lj_proc_ziegenbein_en_202211_01
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Bibtex

@Article{ziegenbein2022,
  author = 	"Ziegenbein, Justin
		and Schrick, Manuel
		and Thiel, Marko
		and Hinckeldeyn, Johannes
		and Kreutzfeldt, Jochen",
  title = 	"Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2022",
  volume = 	"2022",
  number = 	"18",
  keywords = 	"Kartenerstellung; Kartenevaluation; Lokalisierung; Mobile Roboter; localization; map evaluation; mapping; mobile robots",
  abstract = 	"A key aspect of the precision of a mobile robot's localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_proc_ziegenbein_en_202211_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-56116"
}
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RIS

TY  - JOUR
AU  - Ziegenbein, Justin
AU  - Schrick, Manuel
AU  - Thiel, Marko
AU  - Hinckeldeyn, Johannes
AU  - Kreutzfeldt, Jochen
PY  - 2022
DA  - 2022//
TI  - Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria
JO  - Logistics Journal : Proceedings
VL  - 2022
IS  - 18
KW  - Kartenerstellung
KW  - Kartenevaluation
KW  - Lokalisierung
KW  - Mobile Roboter
KW  - localization
KW  - map evaluation
KW  - mapping
KW  - mobile robots
AB  - A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-56116
DO  - 10.2195/lj_proc_ziegenbein_en_202211_01
ID  - ziegenbein2022
ER  -
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Wordbib

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<b:Comments>A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.</b:Comments>
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ISI

PT Journal
AU Ziegenbein, J
   Schrick, M
   Thiel, M
   Hinckeldeyn, J
   Kreutzfeldt, J
TI Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria
SO Logistics Journal : Proceedings
PY 2022
VL 2022
IS 18
DI 10.2195/lj_proc_ziegenbein_en_202211_01
DE Kartenerstellung; Kartenevaluation; Lokalisierung; Mobile Roboter; localization; map evaluation; mapping; mobile robots
AB A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.
ER
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Mods

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    <title>Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria</title>
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  <abstract>A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours.</abstract>
  <subject>
    <topic>Kartenerstellung</topic>
    <topic>Kartenevaluation</topic>
    <topic>Lokalisierung</topic>
    <topic>Mobile Roboter</topic>
    <topic>localization</topic>
    <topic>map evaluation</topic>
    <topic>mapping</topic>
    <topic>mobile robots</topic>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-56116</identifier>
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Full Metadata

Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2022, Iss. 18
Title

Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria (eng)
Author Justin Ziegenbein, Manuel Schrick, Marko Thiel, Johannes Hinckeldeyn, Jochen Kreutzfeldt
Language eng
Abstract A key aspect of the precision of a mobile robot’s localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed to create such maps with varying degrees of effort, hardware requirements and quality of the resulting maps. To create a better understanding of the applicability of these different approaches to specific applications, this paper evaluates and compares three different mapping approaches based on simultaneous localization and mapping, terrestrial laser scanning as well as publicly accessible building contours. Ein wichtiger Aspekt für die präzise Lokalisierung von mobilen Robotern ist die Qualität und Eignung der verwendeten Karte. Eine Vielzahl von Ansätzen stehen zur Erzeugung solcher Karten zur Verfügung, die in Punkten wie Aufwand, benötigter Hardware und nicht zuletzt der Qualität ihrer Ergebnisse teils stark variieren. Um ein besseres Verständnis von diesen Ansätzen und deren Eignung für konkrete Anwendung zu schaffen, werden in dieser Arbeit drei verschiedene Ansätze evaluiert und miteinander verglichen: SLAM, Terrestrischer Laser Scanner und öffentlich verfügbare Gebäudekonturen.
Subject Kartenerstellung, Kartenevaluation, Lokalisierung, Mobile Roboter, localization, map evaluation, mapping, mobile robots
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-56116
DOI https://doi.org/10.2195/lj_proc_ziegenbein_en_202211_01