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, space robotics, planetary exploration
M3 - Paper
T2 - 69th International Astronautical Congress, IAC 2018
Y2 - 1 October 2018 through 5 October 2018
ER -