Detail publikace

Hybrid Navigation Method for Dynamic Indoor Environment Based on Mixed Potential Fields

VĚCHET, S. CHEN, K. KREJSA, J.

Originální název

Hybrid Navigation Method for Dynamic Indoor Environment Based on Mixed Potential Fields

Český název

Hybrid Navigation Method for Dynamic Indoor Environment Based on Mixed Potential Fields

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

Navigation task for highly populated indoor environment belongs to the most difficult issues in mobile robotics. Presented paper deals with a hybrid approach which combines three methods: potential fields, Voronoi diagrams and rule based path planner. Such combination takes the best of all mentioned methods to create reliable navigation system with maximum emphasis on safety. The meth-od was verified using real mobile robot in common environment with dynamic ob-stacles.

Český abstrakt

Navigation task for highly populated indoor environment belongs to the most difficult issues in mobile robotics. Presented paper deals with a hybrid approach which combines three methods: potential fields, Voronoi diagrams and rule based path planner. Such combination takes the best of all mentioned methods to create reliable navigation system with maximum emphasis on safety. The meth-od was verified using real mobile robot in common environment with dynamic ob-stacles.

Klíčová slova

Navigation, Potential Fields, Mobile Robotics

Rok RIV

2013

Vydáno

07.10.2013

ISBN

978-3-319-02293-2

Kniha

Recent Technological and Scientific Advances

Strany od

575

Strany do

582

Strany počet

8

Dokumenty

BibTex


@inproceedings{BUT102810,
  author="Stanislav {Věchet} and Kuo-Shen {Chen} and Jiří {Krejsa}",
  title="Hybrid Navigation Method for Dynamic Indoor Environment Based on Mixed Potential Fields",
  annote="Navigation task for highly populated indoor environment belongs to the most difficult issues in mobile robotics. Presented paper deals with a hybrid approach which combines three methods: potential fields, Voronoi diagrams and rule based path planner. Such combination takes the best of all mentioned methods to create reliable navigation system with maximum emphasis on safety. The meth-od was verified using real mobile robot in common environment with dynamic ob-stacles.",
  booktitle="Recent Technological and Scientific Advances",
  chapter="102810",
  doi="10.1007/978-3-319-02294-9_73",
  howpublished="print",
  year="2013",
  month="october",
  pages="575--582",
  type="conference paper"
}