Publication detail

CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS

VĚCHET, S. KREJSA, J.

Czech title

CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS

English title

CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS

Type

conference paper

Language

en

Original abstract

Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessary for the successful navigation through the crowded environment densely populated with dynamic obstacles. The occupancy grid mapping algorithm was used due to the high uncertainty in the measurements of dynamic obstacles. As the occupancy grid algorithm is of probabilistic nature the implementation is straightforward and is also capable to generate the results in real-time.

Czech abstract

Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessary for the successful navigation through the crowded environment densely populated with dynamic obstacles. The occupancy grid mapping algorithm was used due to the high uncertainty in the measurements of dynamic obstacles. As the occupancy grid algorithm is of probabilistic nature the implementation is straightforward and is also capable to generate the results in real-time.

English abstract

Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessary for the successful navigation through the crowded environment densely populated with dynamic obstacles. The occupancy grid mapping algorithm was used due to the high uncertainty in the measurements of dynamic obstacles. As the occupancy grid algorithm is of probabilistic nature the implementation is straightforward and is also capable to generate the results in real-time.

Keywords in Czech

Occupancy grid mapping; binary Bayes filter

Keywords in English

Occupancy grid mapping; binary Bayes filter

RIV year

2011

Released

09.05.2011

Publisher

Institute of Thermomechanics, Academy of Sciences of the Czech Republic

Location

Prague

ISBN

978-80-87012-33-8

Book

Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic

Edition number

1

Pages from–to

227–230

Pages count

4

BIBTEX


@inproceedings{BUT98287,
  author="Stanislav {Věchet} and Jiří {Krejsa},
  title="CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS",
  booktitle="Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic",
  year="2011",
  month="May",
  pages="227--230",
  publisher="Institute of Thermomechanics, Academy of Sciences of the Czech Republic",
  address="Prague",
  isbn="978-80-87012-33-8"
}