DocumentCode :
2066160
Title :
Original solutions for localization and navigation on the surface of Mars planet
Author :
Hamza, Benzerrouk ; Nebylov, Alexander ; Yatsevitch, Gennady
Author_Institution :
Int. Inst. for Adv. Aerosp. Technol., St.-Petersburg State Univ. of Aerosp. Instrum., St. Petersburg, Russia
fYear :
2010
fDate :
6-13 March 2010
Firstpage :
1
Lastpage :
13
Abstract :
New original algorithms for navigation on the surface of Mars planet, especially as applied to astronauts, are proposed in this paper. 12The autonomous navigation system for astronaut is based on inertial measurement unit (redundant) and Laser (redundant), this permit to localize and navigate in known environment and unknown environment constructing its map in real time, using SLAM robust adaptive algorithms. The estimation of the position of astronauts is done using non linear adaptive filters, such as the Extended Kalman Filter (EKF) and other non linear variant filters. For Mars exploration, these tools are necessary and important for safety in all the future missions. This approach answers the problem of how to extend the existing solutions of localization and Navigation on the earth to Mars surface, according to changes of the magnetic field, gravity and orbital parameters.
Keywords :
Mars; SLAM (robots); adaptive filters; inertial navigation; inertial systems; nonlinear filters; units (measurement); Laser; Mars planet; SLAM robust adaptive algorithms; autonomous navigation system; inertial measurement unit; nonlinear adaptive filters; Adaptive algorithm; Adaptive filters; Mars; Measurement units; Navigation; Planets; Real time systems; Robustness; Simultaneous localization and mapping; Surface emitting lasers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2010 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-3887-7
Electronic_ISBN :
1095-323X
Type :
conf
DOI :
10.1109/AERO.2010.5446937
Filename :
5446937
Link To Document :
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