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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. (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.

Item type: Conference or Workshop Item (Paper)
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: 18 Apr 2019 00:18
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URI: https://strathprints.strath.ac.uk/id/eprint/64033
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