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JACIII Vol.15 No.8 pp. 1167-1174
doi: 10.20965/jaciii.2011.p1167
(2011)

Paper:

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Development of an Intelligent Simulator with SLAM Functions for Visual Autonomous Landing on Small Celestial Bodies

Cedric Cocaud* and Takashi Kubota**

*Department of Electrical Engineering, University of Tokyo, ISAS campus 3-1-1, Yoshinodai, Chuo-ku, Sagamihara, Kanagawa 252-5210, Japan

**Institute of Space and Astronautical Science (JAXA/ISAS), ISAS campus 3-1-1, Yoshinodai, Chuo-ku, Sagamihara, Kanagawa 252-5210, Japan

Received:
May 16, 2011
Accepted:
August 1, 2011
Published:
October 20, 2011
Creative Commons License
Keywords:
simulator, computer graphics, SLAM, visual navigation, small body exploration
Abstract
As space agencies are currently looking at Near Earth Asteroids as a next step on their exploration roadmap, high precision autonomous landing control schemes will be required for upcoming missions. In this paper, an intelligent simulator is proposed to reproduce all of the visual and dynamic aspects required to test an autonomous Simultaneous Localization and Mapping (SLAM) system. The proposed simulator provides position and attitude information to a spacecraft during its approach descent and Landing phase toward the surface of an asteroid or other small celestial bodies. Because the SLAM system makes use of navigation cameras and a range sensor moving with the spacecraft as it approaches the surface, the simulator is also developed to reproduce a fully integrated 3D environment using computer graphics technology that mimics the noise, image detail and real-time performances of the navigation cameras and the range sensors. This paper describes the architecture and capability of the developed simulator and the SLAM system for which it is designed. The developed simulator is evaluated by using the specifications of the onboard sensors used in the Hayabusa spacecraft sent by JAXA/ISAS to the Itokawa asteroid in 2003.
Cite this article as:
C. Cocaud and T. Kubota, “Development of an Intelligent Simulator with SLAM Functions for Visual Autonomous Landing on Small Celestial Bodies,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.8, pp. 1167-1174, 2011.
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