Hexagonal Grid-Based Framework for Mobile Robot Navigation
The paper addresses the problem of mobile robots’ navigation using a hexagonal lattice. We carried out experiments in which we used a vehicle equipped with a set of sensors. Based on the data, a traversable map was created. The experimental results proved that hexagonal maps of an environment can be...
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MDPI AG
2021
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oai:doaj.org-article:5a2874613a8048e7b19c04a7d9f5e2872021-11-11T18:50:22ZHexagonal Grid-Based Framework for Mobile Robot Navigation10.3390/rs132142162072-4292https://doaj.org/article/5a2874613a8048e7b19c04a7d9f5e2872021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4216https://doaj.org/toc/2072-4292The paper addresses the problem of mobile robots’ navigation using a hexagonal lattice. We carried out experiments in which we used a vehicle equipped with a set of sensors. Based on the data, a traversable map was created. The experimental results proved that hexagonal maps of an environment can be easily built based on sensor readings. The path planning method has many advantages: the situation in which obstacles surround the position of the robot or the target is easily detected, and we can influence the properties of the path, e.g., the distance from obstacles or the type of surface can be taken into account. A path can be smoothed more easily than with a rectangular grid.Piotr DuszakBarbara SiemiątkowskaRafał WięckowskiMDPI AGarticlemappingdata fusionpath planninghexagonal gridScienceQENRemote Sensing, Vol 13, Iss 4216, p 4216 (2021) |
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mapping data fusion path planning hexagonal grid Science Q |
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mapping data fusion path planning hexagonal grid Science Q Piotr Duszak Barbara Siemiątkowska Rafał Więckowski Hexagonal Grid-Based Framework for Mobile Robot Navigation |
description |
The paper addresses the problem of mobile robots’ navigation using a hexagonal lattice. We carried out experiments in which we used a vehicle equipped with a set of sensors. Based on the data, a traversable map was created. The experimental results proved that hexagonal maps of an environment can be easily built based on sensor readings. The path planning method has many advantages: the situation in which obstacles surround the position of the robot or the target is easily detected, and we can influence the properties of the path, e.g., the distance from obstacles or the type of surface can be taken into account. A path can be smoothed more easily than with a rectangular grid. |
format |
article |
author |
Piotr Duszak Barbara Siemiątkowska Rafał Więckowski |
author_facet |
Piotr Duszak Barbara Siemiątkowska Rafał Więckowski |
author_sort |
Piotr Duszak |
title |
Hexagonal Grid-Based Framework for Mobile Robot Navigation |
title_short |
Hexagonal Grid-Based Framework for Mobile Robot Navigation |
title_full |
Hexagonal Grid-Based Framework for Mobile Robot Navigation |
title_fullStr |
Hexagonal Grid-Based Framework for Mobile Robot Navigation |
title_full_unstemmed |
Hexagonal Grid-Based Framework for Mobile Robot Navigation |
title_sort |
hexagonal grid-based framework for mobile robot navigation |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/5a2874613a8048e7b19c04a7d9f5e287 |
work_keys_str_mv |
AT piotrduszak hexagonalgridbasedframeworkformobilerobotnavigation AT barbarasiemiatkowska hexagonalgridbasedframeworkformobilerobotnavigation AT rafałwieckowski hexagonalgridbasedframeworkformobilerobotnavigation |
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1718431703026892800 |