Visual Tracking and Motion Estimation for an On-orbit Servicing of a Satellite

Autor: Oumer, Nassir Workicho

This thesis addresses visual tracking of a non-cooperative as well as a partially cooperative satellite, to enable close-range rendezvous between a servicer and a target satellite. Visual tracking and estimation of relative motion between a servicer

Externí odkaz: https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2016092815002

Vision-based localization for on-orbit servicing of a partially cooperative satellite

Autor: Oumer, Nassir W., Panin, Giorgio, Mülbauer, Quirin, Tseneklidou, Anastasia

Publikováno v: In Acta Astronautica December 2015 117:19-37

InFuse Data Fusion Methodology for Space Robotics, Awareness and Machine Learning

Autor: Post, Mark, Michalec, Romain, Bianco, Alessandro, Yan, Xiu, de Maio, Andrea, Lacroix, Simon, Gancet, Jérémi, Govindaraj, Shashank, Martinez-Gonzalez, Xavier, Dalati, Iyas, Dominguez, Raúl, Wehbe, Bilal, Fabisch, Alexander, Röhrig, Enno, Souvannavong, Fabrice, Bissonnette, Vincent, Smíšek, Michal, Oumer, Nassir, Meyer, Lukas, Triebel, Rudolph, Márton, Zoltán-Csaba

Publikováno v: 69th International Astronautical Congress
69th International Astronautical Congress, Oct 2018, Bremen, Germany

International audience; Autonomous space vehicles such as orbital servicing satellites and planetary exploration rovers must be comprehensively aware of their environment in order to make appropriate decisions. Multi-sensor data fusion plays a vital

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::948b80b54284519c3366722003d63a9e
https://hal.laas.fr/hal-02092238

A common data fusion framework for space robotics : architecture and data fusion methods

Autor: Domínguez, Raúl, Michalec, Romain, Oumer, Nassir W., Souvannavong, Fabrice, Post, Mark, Govindaraj, Shashank, Fabisch, Alexander, Wehbe, Bilal, Gancet, Jérémi, Bianco, Alessandro, Lacroix, Simon, De Maio, Andrea, Labourey, Quentin, Bissonnette, Vincent, Smíek, Michal, Yan, Xiu

Publikováno v: International Symposium on Artificial Intelligence, Robotics and Automation in Space Symposia

Data fusion algorithms make it possible to combine data from different sensors into symbolic representations such as environment maps, object models, and position estimates. The software community in space robotics lacks a comprehensive software fram

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1a63a504c3d9da265e80aac790cfcc64
https://strathprints.strath.ac.uk/64166/14/Dominguez_etal_I_SAIRAS_2018_A_common_data_fusion_framework_for_space.pdf

InFuse: A Comprehensive Framework for Data Fusion in Space Robotics

Autor: Govindaraj, Shashank, Gancet, Jeremi, Post, Mark, Dominguez, Raul, Souvannavog, Fabrice, Lacroix, Simon, Smisek, Michal, Hidalgo-Carrio, Javier, Wehbe, Bilal, Fabisch, Alexander, De Maio, Andrea, Oumer, Nassir, Bissonnette, Vincent, Marton, Zoltan-Csaba, Kottath, Sandeep, Nissler, Christian, Yang, Xiu, Triebel, Rudolph, Nuzzolo, Francesco

Publikováno v: Proceedings of the14th Symposium on Advanced Space Technologies in Robotics and Automation
14th Symposium on Advanced Space Technologies in Robotics and Automation
14th Symposium on Advanced Space Technologies in Robotics and Automation, Jun 2017, Leiden, Netherlands. 8p
14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation

Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b830ee04362791e774f035f17ce1e8eb
https://hal.science/hal-01536099/file/InFuse_ASTRA17.pdf