Visual SLAM-Based Robotic Mapping Method for Planetary Construction
With the recent discovery of water-ice and lava tubes on the Moon and Mars along with the development of in-situ resource utilization (ISRU) technology, the recent planetary exploration has focused on rover (or lander)-based surface missions toward the base construction for long-term human explorati...
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MDPI AG
2021
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oai:doaj.org-article:1ea444f1a45c41bdb58b17167e01a00b2021-11-25T18:58:40ZVisual SLAM-Based Robotic Mapping Method for Planetary Construction10.3390/s212277151424-8220https://doaj.org/article/1ea444f1a45c41bdb58b17167e01a00b2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7715https://doaj.org/toc/1424-8220With the recent discovery of water-ice and lava tubes on the Moon and Mars along with the development of in-situ resource utilization (ISRU) technology, the recent planetary exploration has focused on rover (or lander)-based surface missions toward the base construction for long-term human exploration and habitation. However, a 3D terrain map, mostly based on orbiters’ terrain images, has insufficient resolutions for construction purposes. In this regard, this paper introduces the visual simultaneous localization and mapping (SLAM)-based robotic mapping method employing a stereo camera system on a rover. In the method, S-PTAM is utilized as a base framework, with which the disparity map from the self-supervised deep learning is combined to enhance the mapping capabilities under homogeneous and unstructured environments of planetary terrains. The overall performance of the proposed method was evaluated in the emulated planetary terrain and validated with potential results.Sungchul HongAntyanta BangunharcanaJae-Min ParkMinseong ChoiHyu-Soung ShinMDPI AGarticleplanetary construction mappingexploration rovervisual SLAMdeep learning3D terrain mapChemical technologyTP1-1185ENSensors, Vol 21, Iss 7715, p 7715 (2021) |
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planetary construction mapping exploration rover visual SLAM deep learning 3D terrain map Chemical technology TP1-1185 |
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planetary construction mapping exploration rover visual SLAM deep learning 3D terrain map Chemical technology TP1-1185 Sungchul Hong Antyanta Bangunharcana Jae-Min Park Minseong Choi Hyu-Soung Shin Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
description |
With the recent discovery of water-ice and lava tubes on the Moon and Mars along with the development of in-situ resource utilization (ISRU) technology, the recent planetary exploration has focused on rover (or lander)-based surface missions toward the base construction for long-term human exploration and habitation. However, a 3D terrain map, mostly based on orbiters’ terrain images, has insufficient resolutions for construction purposes. In this regard, this paper introduces the visual simultaneous localization and mapping (SLAM)-based robotic mapping method employing a stereo camera system on a rover. In the method, S-PTAM is utilized as a base framework, with which the disparity map from the self-supervised deep learning is combined to enhance the mapping capabilities under homogeneous and unstructured environments of planetary terrains. The overall performance of the proposed method was evaluated in the emulated planetary terrain and validated with potential results. |
format |
article |
author |
Sungchul Hong Antyanta Bangunharcana Jae-Min Park Minseong Choi Hyu-Soung Shin |
author_facet |
Sungchul Hong Antyanta Bangunharcana Jae-Min Park Minseong Choi Hyu-Soung Shin |
author_sort |
Sungchul Hong |
title |
Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
title_short |
Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
title_full |
Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
title_fullStr |
Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
title_full_unstemmed |
Visual SLAM-Based Robotic Mapping Method for Planetary Construction |
title_sort |
visual slam-based robotic mapping method for planetary construction |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/1ea444f1a45c41bdb58b17167e01a00b |
work_keys_str_mv |
AT sungchulhong visualslambasedroboticmappingmethodforplanetaryconstruction AT antyantabangunharcana visualslambasedroboticmappingmethodforplanetaryconstruction AT jaeminpark visualslambasedroboticmappingmethodforplanetaryconstruction AT minseongchoi visualslambasedroboticmappingmethodforplanetaryconstruction AT hyusoungshin visualslambasedroboticmappingmethodforplanetaryconstruction |
_version_ |
1718410450312364032 |