Publication:
Point cloud simulator for space in-orbit close range autonomous operations

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Aeroespaciales
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería Aeroespaciales
dc.contributor.authorGonzalez De Santos, L. M.
dc.contributor.authorGonzalez Jorge, H.
dc.contributor.authorSanjurjo Rivo, Manuel
dc.contributor.authorMichinel, H.
dc.date.accessioned2023-02-17T13:35:22Z
dc.date.available2023-02-17T13:35:22Z
dc.date.issued2022-05-30
dc.descriptionProceedings of: XXIV ISPRS Congress 2022: International Society for Photogrammetry and Remote Sensing, 6-11 june 2022, Nice, France.en
dc.description.abstractIn recent years, many different in-orbit close-range autonomous operations have been developed for multiple purposes, such as rendezvous and docking operations or ADR operations. In both cases, the systems have to calculate the relative position between the spacecraft and the target in order to control the orbital manoeuvres and the physic interaction between both systems. One of the sensors used for the pose calculation for these operations are LiDAR sensors, developing pose calculation algorithms that process the point cloud acquired by these sensors. One of the main problems for the development and testing of these algorithms is the lack of real data acquired in orbit and the difficulty of acquiring this data. This makes it fundamental to develop a simulator to generate realistic point clouds that can be used to develop and test pose calculation algorithms. This work presents a simulator developed for this purpose, that is the generation of realistic point clouds for algorithm development for pose calculation using LiDAR sensors for space in-orbit close range autonomous operations. The simulator uses the LiDAR sensor specifications, in order to introduces measurement errors and the scanning pattern, and 3D model of the satellite or object that is scanned.en
dc.description.sponsorshipL.M.G.-d. was funded by the Recovery, Transformation, and Resilience Plan of the European Union-Next Generation EU (University of Vigo grant ref. 585507).en
dc.format.extent7
dc.identifier.bibliographicCitationGonzález-de Santos, L. M., González-Jorge, H., Sanjurjo-Rivo, M. & Michine, H. (6-11 june 2022). Point Cloud Simulator for Space in-Orbit Close Range Autonomous Operations [proceedings]. XXIV ISPRS Congress 2022: International Society for Photogrammetry and Remote Sensing, Nice, France.en
dc.identifier.doihttps://doi.org/10.5194/isprs-archives-XLIII-B1-2022-23-2022
dc.identifier.publicationfirstpage23
dc.identifier.publicationlastpage29
dc.identifier.publicationtitleThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2022, 2022en
dc.identifier.publicationvolumeXLIII-B1-2022
dc.identifier.urihttps://hdl.handle.net/10016/36598
dc.identifier.uxxiCC/0000033620
dc.language.isoengen
dc.publisherCopernicus Publicationsen
dc.relation.eventdate2022-06-06
dc.relation.eventplaceFranciaes
dc.relation.eventtitleXXIV ISPRS Congress 2022: International Society for Photogrammetry and Remote Sensingen
dc.relation.ispartofseriesXXIV ISPRS Congress (2022 edition)en
dc.rights© Author(s) 2022.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaAeronáuticaes
dc.subject.ecienciaAstronomíaes
dc.subject.ecienciaEducaciónes
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherAerospaceen
dc.subject.otherLIDARen
dc.subject.otherOn-orbit servicesen
dc.subject.otherPoint clouden
dc.subject.otherPose trackingen
dc.subject.otherRendezvous operationsen
dc.titlePoint cloud simulator for space in-orbit close range autonomous operationsen
dc.typeconference poster*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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