InFuse data fusion methodology for space robotics, awareness and machine learning

Mark Post, Romain Michalec, Alessandro Bianco, Xiu-Tian Yan, Andrea De Maio, Quentin Labourey, Simon Lacroix, Jeremi Gancet, Shashank Govindaraj, Xavier Marinez-Gonazalez, Raul Dominguez, Bilal Wehbe, Alexander Fabich, Fabrice Souvannavong, Vincent Bissonnette, Michal Smisek, Nassir W. Oumer, Rudolph Triebel, Zoltan-Csaba Marton

Research output: Contribution to conferencePaperpeer-review

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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.
Original languageEnglish
Number of pages2
Publication statusAccepted/In press - 26 Apr 2018
Event69th International Astronautical Congress - Messe Bremen Findorffstraße , Bremen, Germany
Duration: 1 Oct 20185 Oct 2018
Conference number: 69th


Conference69th International Astronautical Congress
Abbreviated titleIAC 2018
Internet address


  • space vehicles
  • space robotics
  • planetary exploration


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