Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS)

Ron Li, Shaojun He, Boris Skopljak, Jinwei Jiang, Pingbo Tang, Alper Yilmaz, Martin Banks, Charles Oman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In future lunar exploration, spatial disorientation may become an increasingly critical issue for astronauts as the area of exploration increases from several kilometers in the Apollo missions to over one hundred kilometers from the main base station in future landed missions. To address this problem, the Mapping & GIS Laboratory at The Ohio State University, working with partners, is developing a Lunar Astronaut Spatial Orientation and Information System (LASOIS) designed to provide astronauts with continuous navigation updates. Due to specific environmental conditions on the lunar surface (lack of familiar landmarks, ambiguous depth and shading cues, etc.), a multiple-sensor approach is proposed to overcome challenges to astronaut orientation. In this approach, data from on-suit sensors (stereo cameras, MEMS Inertial Measurement Unit (IMU), and foot-mounted pressure sensors) and from off-suit sensors (Lunar Reconnaissance Orbiter Camera) are integrated through an Extended Kalman Filter (EKF). The Zero Velocity Update (ZUPT) technique is used to compensate for distance errors while data from vision sensors are used to compensate for any IMU gyro drift. The spatial information generated by this integrated-data approach will be provided to astronauts through a wrist-mounted OLED (Organic Light-Emitting Diode) interface. Extensive field tests incorporating all of the above-mentioned sensors were performed in a Lunar-like environment at Moses Lake, WA. When compared to GPS-derived ground truth, the trajectory generated by the developed system was found to have a disclosure of 6 m for a total traverse of 107 m (5.6% accuracy). By integrating additional sensor systems (tactical grade IMU, radio-frequency identification beacons, star tracker) and improving data-processing algorithms, it is expected that this system ultimately will be able to achieve a disclosure of less than 2% overall.

Original languageEnglish (US)
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies
Pages543-552
Number of pages10
Volume1
StatePublished - 2010
Externally publishedYes
EventAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies - San Diego, CA, United States
Duration: Apr 26 2010Apr 30 2010

Other

OtherAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies
CountryUnited States
CitySan Diego, CA
Period4/26/104/30/10

Fingerprint

Information systems
information system
sensor
Units of measurement
Sensors
Cameras
Star trackers
Lunar missions
Extended Kalman filters
Organic light emitting diodes (OLED)
Pressure sensors
Radio frequency identification (RFID)
Base stations
Geographic information systems
MEMS
Kalman filter
Lakes
shading
Global positioning system
Navigation

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

Cite this

Li, R., He, S., Skopljak, B., Jiang, J., Tang, P., Yilmaz, A., ... Oman, C. (2010). Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). In American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies (Vol. 1, pp. 543-552)

Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). / Li, Ron; He, Shaojun; Skopljak, Boris; Jiang, Jinwei; Tang, Pingbo; Yilmaz, Alper; Banks, Martin; Oman, Charles.

American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies. Vol. 1 2010. p. 543-552.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, R, He, S, Skopljak, B, Jiang, J, Tang, P, Yilmaz, A, Banks, M & Oman, C 2010, Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). in American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies. vol. 1, pp. 543-552, American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies, San Diego, CA, United States, 4/26/10.
Li R, He S, Skopljak B, Jiang J, Tang P, Yilmaz A et al. Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). In American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies. Vol. 1. 2010. p. 543-552
Li, Ron ; He, Shaojun ; Skopljak, Boris ; Jiang, Jinwei ; Tang, Pingbo ; Yilmaz, Alper ; Banks, Martin ; Oman, Charles. / Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS). American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies. Vol. 1 2010. pp. 543-552
@inproceedings{f8080e5faf3840f68394db19916a100d,
title = "Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS)",
abstract = "In future lunar exploration, spatial disorientation may become an increasingly critical issue for astronauts as the area of exploration increases from several kilometers in the Apollo missions to over one hundred kilometers from the main base station in future landed missions. To address this problem, the Mapping & GIS Laboratory at The Ohio State University, working with partners, is developing a Lunar Astronaut Spatial Orientation and Information System (LASOIS) designed to provide astronauts with continuous navigation updates. Due to specific environmental conditions on the lunar surface (lack of familiar landmarks, ambiguous depth and shading cues, etc.), a multiple-sensor approach is proposed to overcome challenges to astronaut orientation. In this approach, data from on-suit sensors (stereo cameras, MEMS Inertial Measurement Unit (IMU), and foot-mounted pressure sensors) and from off-suit sensors (Lunar Reconnaissance Orbiter Camera) are integrated through an Extended Kalman Filter (EKF). The Zero Velocity Update (ZUPT) technique is used to compensate for distance errors while data from vision sensors are used to compensate for any IMU gyro drift. The spatial information generated by this integrated-data approach will be provided to astronauts through a wrist-mounted OLED (Organic Light-Emitting Diode) interface. Extensive field tests incorporating all of the above-mentioned sensors were performed in a Lunar-like environment at Moses Lake, WA. When compared to GPS-derived ground truth, the trajectory generated by the developed system was found to have a disclosure of 6 m for a total traverse of 107 m (5.6{\%} accuracy). By integrating additional sensor systems (tactical grade IMU, radio-frequency identification beacons, star tracker) and improving data-processing algorithms, it is expected that this system ultimately will be able to achieve a disclosure of less than 2{\%} overall.",
author = "Ron Li and Shaojun He and Boris Skopljak and Jinwei Jiang and Pingbo Tang and Alper Yilmaz and Martin Banks and Charles Oman",
year = "2010",
language = "English (US)",
isbn = "9781617389160",
volume = "1",
pages = "543--552",
booktitle = "American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies",

}

TY - GEN

T1 - Development of a Lunar Astronaut Spatial Orientation and Information System (LASOIS)

AU - Li, Ron

AU - He, Shaojun

AU - Skopljak, Boris

AU - Jiang, Jinwei

AU - Tang, Pingbo

AU - Yilmaz, Alper

AU - Banks, Martin

AU - Oman, Charles

PY - 2010

Y1 - 2010

N2 - In future lunar exploration, spatial disorientation may become an increasingly critical issue for astronauts as the area of exploration increases from several kilometers in the Apollo missions to over one hundred kilometers from the main base station in future landed missions. To address this problem, the Mapping & GIS Laboratory at The Ohio State University, working with partners, is developing a Lunar Astronaut Spatial Orientation and Information System (LASOIS) designed to provide astronauts with continuous navigation updates. Due to specific environmental conditions on the lunar surface (lack of familiar landmarks, ambiguous depth and shading cues, etc.), a multiple-sensor approach is proposed to overcome challenges to astronaut orientation. In this approach, data from on-suit sensors (stereo cameras, MEMS Inertial Measurement Unit (IMU), and foot-mounted pressure sensors) and from off-suit sensors (Lunar Reconnaissance Orbiter Camera) are integrated through an Extended Kalman Filter (EKF). The Zero Velocity Update (ZUPT) technique is used to compensate for distance errors while data from vision sensors are used to compensate for any IMU gyro drift. The spatial information generated by this integrated-data approach will be provided to astronauts through a wrist-mounted OLED (Organic Light-Emitting Diode) interface. Extensive field tests incorporating all of the above-mentioned sensors were performed in a Lunar-like environment at Moses Lake, WA. When compared to GPS-derived ground truth, the trajectory generated by the developed system was found to have a disclosure of 6 m for a total traverse of 107 m (5.6% accuracy). By integrating additional sensor systems (tactical grade IMU, radio-frequency identification beacons, star tracker) and improving data-processing algorithms, it is expected that this system ultimately will be able to achieve a disclosure of less than 2% overall.

AB - In future lunar exploration, spatial disorientation may become an increasingly critical issue for astronauts as the area of exploration increases from several kilometers in the Apollo missions to over one hundred kilometers from the main base station in future landed missions. To address this problem, the Mapping & GIS Laboratory at The Ohio State University, working with partners, is developing a Lunar Astronaut Spatial Orientation and Information System (LASOIS) designed to provide astronauts with continuous navigation updates. Due to specific environmental conditions on the lunar surface (lack of familiar landmarks, ambiguous depth and shading cues, etc.), a multiple-sensor approach is proposed to overcome challenges to astronaut orientation. In this approach, data from on-suit sensors (stereo cameras, MEMS Inertial Measurement Unit (IMU), and foot-mounted pressure sensors) and from off-suit sensors (Lunar Reconnaissance Orbiter Camera) are integrated through an Extended Kalman Filter (EKF). The Zero Velocity Update (ZUPT) technique is used to compensate for distance errors while data from vision sensors are used to compensate for any IMU gyro drift. The spatial information generated by this integrated-data approach will be provided to astronauts through a wrist-mounted OLED (Organic Light-Emitting Diode) interface. Extensive field tests incorporating all of the above-mentioned sensors were performed in a Lunar-like environment at Moses Lake, WA. When compared to GPS-derived ground truth, the trajectory generated by the developed system was found to have a disclosure of 6 m for a total traverse of 107 m (5.6% accuracy). By integrating additional sensor systems (tactical grade IMU, radio-frequency identification beacons, star tracker) and improving data-processing algorithms, it is expected that this system ultimately will be able to achieve a disclosure of less than 2% overall.

UR - http://www.scopus.com/inward/record.url?scp=84868536566&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868536566&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84868536566

SN - 9781617389160

VL - 1

SP - 543

EP - 552

BT - American Society for Photogrammetry and Remote Sensing Annual Conference 2010: Opportunities for Emerging Geospatial Technologies

ER -