InFuse data fusion methodology for space robotics, awareness and machine learning
Post, Mark and Michalec, Romain and Bianco, Alessandro and Yan, Xiu-Tian and De Maio, Andrea and Labourey, Quentin and Lacroix, Simon and Gancet, Jeremi and Govindaraj, Shashank and Marinez-Gonazalez, Xavier and Dominguez, Raul and Wehbe, Bilal and Fabich, Alexander and Souvannavong, Fabrice and Bissonnette, Vincent and Smisek, Michal and Oumer, Nassir W. and Triebel, Rudolph and Marton, Zoltan-Csaba (2018) InFuse data fusion methodology for space robotics, awareness and machine learning. In: 69th International Astronautical Congress, 2018-10-01 - 2018-10-05, Messe Bremen Findorffstraße. (In Press)
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Abstract
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 role in providing these autonomous systems with sensory information of different types, from different locations, and at different times.
Creators(s): |
Post, Mark ![]() ![]() ![]() | Item type: | Conference or Workshop Item(Paper) |
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ID code: | 64033 |
Keywords: | space vehicles, space robotics, planetary exploration, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering |
Subjects: | Technology > Motor vehicles. Aeronautics. Astronautics |
Department: | Faculty of Engineering > Design, Manufacture and Engineering Management |
Depositing user: | Pure Administrator |
Date deposited: | 14 May 2018 11:05 |
Last modified: | 13 Jan 2021 03:13 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/64033 |
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