Publication detail

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

Original Title

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

Czech Title

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

Language

cs

Original Abstract

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.

Czech abstract

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.

Documents

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"
}