By the same authors

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

Research output: Contribution to conferencePaper


  • 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



Conference69th International Astronautical Congress, IAC 2018
Conference date(s)1/10/185/10/18

Publication details

DatePublished - 26 Apr 2018
Original languageEnglish


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.

    Research areas

  • space vehicles, space robotics, planetary exploration

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