Publication detail

Vector Maps in Mobile Robotics

JELÍNEK, A.

Original Title

Vector Maps in Mobile Robotics

English Title

Vector Maps in Mobile Robotics

Type

conference paper

Language

en

Original Abstract

The aim of this paper is to provide a brief overview of vector map techniques used in mobile robotics and to present current state of the research in this field at the Brno University of Technology. Vector maps are described as a part of the simultaneous localization and mapping (SLAM) problem in the environment without artificial landmarks or global navigation system. The paper describes algorithms from data acquisition to map building but particular emphasis is put on segmentation, line extraction and scan matching algorithms. All significant algorithms are illustrated with experimental results

English abstract

The aim of this paper is to provide a brief overview of vector map techniques used in mobile robotics and to present current state of the research in this field at the Brno University of Technology. Vector maps are described as a part of the simultaneous localization and mapping (SLAM) problem in the environment without artificial landmarks or global navigation system. The paper describes algorithms from data acquisition to map building but particular emphasis is put on segmentation, line extraction and scan matching algorithms. All significant algorithms are illustrated with experimental results

Keywords

SLAM, vector maps, robotics

RIV year

2015

Released

09.09.2015

Location

Praha

ISBN

9788001058541

Book

PAIR'14 / PAIR'15 Student Conferences on Planning in Aartificial Intelligence and Robotics

Pages from

22

Pages to

28

Pages count

6

URL

Documents

BibTex


@inproceedings{BUT115737,
  author="Aleš {Jelínek}",
  title="Vector Maps in Mobile Robotics",
  annote="The aim of this paper is to provide a brief overview of vector map techniques used in mobile robotics and to present current  state  of  the  research  in  this  field  at  the  Brno  University  of  Technology.  Vector  maps  are  described  as  a  part  of the  simultaneous  localization  and  mapping  (SLAM)  problem  in the environment without artificial landmarks or global navigation system. The paper describes algorithms from data acquisition to map  building  but  particular  emphasis  is  put  on  segmentation, line  extraction  and  scan  matching  algorithms.  All  significant algorithms are illustrated with experimental results",
  booktitle="PAIR'14 / PAIR'15 Student Conferences on Planning in Aartificial Intelligence and Robotics",
  chapter="115737",
  howpublished="online",
  number="2",
  year="2015",
  month="september",
  pages="22--28",
  type="conference paper"
}