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COMPARISON STUDY OF THE ACCURACY OF SLAM TECHNIQUES AND SENSOR SELECTION FOR LUNAR EXPLORATION
VAN DER MEER, Dave; OLIVARES MENDEZ, Miguel Angel
2023ASTRA 2023
 

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Keywords :
lunar surface; visual simultaneous localisation and mapping; vSLAM; rtabmap; orbslam2; illumination
Abstract :
[en] Robotics navigation on the lunar surface is crucial for future lunar prospection missions. Visual Simultaneous Localisation And Mapping (vSLAM) bears several advantages over traditional Simultaneous Localisation And Mapping (SLAM) methods, such as mitigating wheel slip and using sensors with space heritage. Still, extreme environments create challenges for optical sensors. This work proposes a qualitative analysis of which elements influence the performance of vSLAM for lunar environments through an experimental approach in an analogue lunar facility.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SpaceR – Space Robotics
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
VAN DER MEER, Dave  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
OLIVARES MENDEZ, Miguel Angel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
External co-authors :
no
Language :
English
Title :
COMPARISON STUDY OF THE ACCURACY OF SLAM TECHNIQUES AND SENSOR SELECTION FOR LUNAR EXPLORATION
Publication date :
2023
Event name :
ASTRA 2023
Event organizer :
ESA
Event place :
Leiden, Netherlands
Event date :
from 18 to 20 Octobre 2023
Audience :
International
FnR Project :
Lunar exploration multi-sensor [[SLAM]] for long traverse missions
Funders :
FNR - Fonds National de la Recherche
Funding number :
17025341
Funding text :
This research was funded in whole, or in part, by the Luxembourg National Research Fund (FNR), grant reference 17025341. For the purpose of open access, and in fulfilment of the obligations arising from the grant agreement, the author has applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission.
Available on ORBilu :
since 20 November 2023

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