Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps.

Richard Hanten; Sebastian Buck; Sebastian Otte; Andreas Zell

doi:10.1007/978-3-319-48036-7_29

Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps.

Richard Hanten, Sebastian Buck, Sebastian Otte, Andreas Zell

Institute of Robotics and Cognitive Systems

Original language	English
Pages	403-416
DOIs	https://doi.org/10.1007/978-3-319-48036-7_29
Publication status	Published - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

4.41-01 Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics

Access to Document

10.1007/978-3-319-48036-7_29

https://dblp.org/rec/conf/ias/HantenBOZ16

Cite this

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title = "Vector-AMCL: Vector Based Adaptive Monte Carlo Localization for Indoor Maps.",

author = "Richard Hanten and Sebastian Buck and Sebastian Otte and Andreas Zell",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

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doi = "10.1007/978-3-319-48036-7\_29",

language = "English",

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AU - Hanten, Richard

AU - Buck, Sebastian

AU - Otte, Sebastian

AU - Zell, Andreas

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2016

Y1 - 2016

U2 - 10.1007/978-3-319-48036-7_29

DO - 10.1007/978-3-319-48036-7_29

M3 - Conference Papers

SP - 403

EP - 416

ER -