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 conferencePaper

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

Conference

Conference69th International Astronautical Congress
Abbreviated titleIAC 2018
CountryGermany
CityBremen
Period1/10/185/10/18

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Sensor data fusion
Data fusion
Learning systems
Robotics
Satellites

Keywords

  • space vehicles
  • space robotics
  • planetary exploration

Cite this

Post, M., Michalec, R., Bianco, A., Yan, X-T., De Maio, A., Labourey, Q., ... Marton, Z-C. (Accepted/In press). InFuse data fusion methodology for space robotics, awareness and machine learning. Paper presented at 69th International Astronautical Congress, Bremen, Germany.
Post, Mark ; Michalec, Romain ; Bianco, Alessandro ; Yan, Xiu-Tian ; De Maio, Andrea ; Labourey, Quentin ; Lacroix, Simon ; Gancet, Jeremi ; Govindaraj, Shashank ; Marinez-Gonazalez, Xavier ; Dominguez, Raul ; Wehbe, Bilal ; Fabich, Alexander ; Souvannavong, Fabrice ; Bissonnette, Vincent ; Smisek, Michal ; Oumer, Nassir W. ; Triebel, Rudolph ; Marton, Zoltan-Csaba. / InFuse data fusion methodology for space robotics, awareness and machine learning. Paper presented at 69th International Astronautical Congress, Bremen, Germany.2 p.
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title = "InFuse data fusion methodology for space robotics, awareness and machine learning",
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.",
keywords = "space vehicles, space robotics, planetary exploration",
author = "Mark Post and Romain Michalec and Alessandro Bianco and Xiu-Tian Yan and {De Maio}, Andrea and Quentin Labourey and Simon Lacroix and Jeremi Gancet and Shashank Govindaraj and Xavier Marinez-Gonazalez and Raul Dominguez and Bilal Wehbe and Alexander Fabich and Fabrice Souvannavong and Vincent Bissonnette and Michal Smisek and Oumer, {Nassir W.} and Rudolph Triebel and Zoltan-Csaba Marton",
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note = "69th International Astronautical Congress, IAC 2018 ; Conference date: 01-10-2018 Through 05-10-2018",

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Post, M, Michalec, R, Bianco, A, Yan, X-T, De Maio, A, Labourey, Q, Lacroix, S, Gancet, J, Govindaraj, S, Marinez-Gonazalez, X, Dominguez, R, Wehbe, B, Fabich, A, Souvannavong, F, Bissonnette, V, Smisek, M, Oumer, NW, Triebel, R & Marton, Z-C 2018, 'InFuse data fusion methodology for space robotics, awareness and machine learning' Paper presented at 69th International Astronautical Congress, Bremen, Germany, 1/10/18 - 5/10/18, .

InFuse data fusion methodology for space robotics, awareness and machine learning. / Post, Mark; Michalec, Romain; Bianco, Alessandro; Yan, Xiu-Tian; De Maio, Andrea; Labourey, Quentin; Lacroix, Simon; Gancet, Jeremi; Govindaraj, Shashank; Marinez-Gonazalez, Xavier; Dominguez, Raul; Wehbe, Bilal; Fabich, Alexander; Souvannavong, Fabrice; Bissonnette, Vincent; Smisek, Michal; Oumer, Nassir W.; Triebel, Rudolph; Marton, Zoltan-Csaba.

2018. Paper presented at 69th International Astronautical Congress, Bremen, Germany.

Research output: Contribution to conferencePaper

TY - CONF

T1 - InFuse data fusion methodology for space robotics, awareness and machine learning

AU - Post, Mark

AU - Michalec, Romain

AU - Bianco, Alessandro

AU - Yan, Xiu-Tian

AU - De Maio, Andrea

AU - Labourey, Quentin

AU - Lacroix, Simon

AU - Gancet, Jeremi

AU - Govindaraj, Shashank

AU - Marinez-Gonazalez, Xavier

AU - Dominguez, Raul

AU - Wehbe, Bilal

AU - Fabich, Alexander

AU - Souvannavong, Fabrice

AU - Bissonnette, Vincent

AU - Smisek, Michal

AU - Oumer, Nassir W.

AU - Triebel, Rudolph

AU - Marton, Zoltan-Csaba

PY - 2018/4/26

Y1 - 2018/4/26

N2 - 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.

AB - 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.

KW - space vehicles

KW - space robotics

KW - planetary exploration

UR - https://www.iac2018.org/

M3 - Paper

ER -

Post M, Michalec R, Bianco A, Yan X-T, De Maio A, Labourey Q et al. InFuse data fusion methodology for space robotics, awareness and machine learning. 2018. Paper presented at 69th International Astronautical Congress, Bremen, Germany.