A Multisensor Integration Approach toward Astronaut Navigation for Landed Lunar Missions

A Multisensor Integration Approach toward Astronaut Navigation for Landed Lunar Missions As experienced by Apollo lunar astronauts, spatial orientation can be affected significantly by lunar environmental conditions such as the moon's altered gravity, lack of an atmosphere, limited spatial references, and different level of reflectivity. To help overcome these challenges, a lunar astronaut navigation system called LASOIS (Lunar Astronaut Spatial Orientation and Information System) has been developed. It can significantly reduce spatial disorientation and improve real‐time navigation capability for astronauts exploring the lunar surface. LASOIS is capable of integrating satellite imagery and sensors mounted on the astronaut spacesuit (including inertial measurement units, stereo cameras, and pressure sensors) by an extended Kalman filter algorithm. The processed navigation information is presented through a wrist‐mounted display system. The system has been tested at three field experiment sites, including Moses Lake, WA, Black Lava Point, AZ, and Haleakala National Park, HI. It is demonstrated that the system has achieved an error rate (or relative accuracy) of 2.4% for astronaut navigation over a traverse of 6.1 km in a lunarlike environment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Field Robotics Wiley

A Multisensor Integration Approach toward Astronaut Navigation for Landed Lunar Missions

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Copyright © 2014 Wiley Periodicals, Inc.
ISSN
1556-4959
eISSN
1556-4967
D.O.I.
10.1002/rob.21488
Publisher site
See Article on Publisher Site

Abstract

As experienced by Apollo lunar astronauts, spatial orientation can be affected significantly by lunar environmental conditions such as the moon's altered gravity, lack of an atmosphere, limited spatial references, and different level of reflectivity. To help overcome these challenges, a lunar astronaut navigation system called LASOIS (Lunar Astronaut Spatial Orientation and Information System) has been developed. It can significantly reduce spatial disorientation and improve real‐time navigation capability for astronauts exploring the lunar surface. LASOIS is capable of integrating satellite imagery and sensors mounted on the astronaut spacesuit (including inertial measurement units, stereo cameras, and pressure sensors) by an extended Kalman filter algorithm. The processed navigation information is presented through a wrist‐mounted display system. The system has been tested at three field experiment sites, including Moses Lake, WA, Black Lava Point, AZ, and Haleakala National Park, HI. It is demonstrated that the system has achieved an error rate (or relative accuracy) of 2.4% for astronaut navigation over a traverse of 6.1 km in a lunarlike environment.

Journal

Journal of Field RoboticsWiley

Published: Mar 1, 2014

References

  • Bridging GPS gaps in urban canyons: Benefits of ZUPT
    Grejner‐Brzezinska, Grejner‐Brzezinska; Yi, Yi; Toth, Toth
  • Performance assessment of a multi‐sensor personal navigator supported by an adaptive‐knowledge‐based system
    Grejner‐Brzezinska, Grejner‐Brzezinska; Toth, Toth; Moafipoor, Moafipoor
  • Rock modeling and matching for autonomous long‐range Mars rover localization
    Li, Li; Di, Di; Howard, Howard; Matthies, Matthies; Wang, Wang; Agarwal, Agarwal
  • Two years of visual odometry on the Mars Exploration Rovers
    Maimone, Maimone; Cheng, Cheng; Matthies, Matthies

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