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Possibility of Applying SLAM-Aided LiDAR in Deep Space Exploration

  • Yuwei Chen
  • Jian Tang
  • Ziyi Feng
  • Teemu Hakala
  • Juha Hyyppä
  • Chuncheng Zhou
  • Lingli Tang
  • Chuanrong Li
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 192)

Abstract

This paper discusses the possibility of applying LiDAR based SLAM technology into deep space exploring research. Nowadays, a new round of lunar exploration upsurge comes, USA and Russia resumed their previously lunar projects, while China, ESA (European Space Agency), Japan and India all have own/joint future plans of exploring moon for distinct missions. Recently, ESA proposed to construct a lunar-base by the 2030s through international collaborations. It’s predictable that more state-of-art technologies will step out from the laboratory, support more scientific deep space research and play considerable roles in space exploration in future. LiDAR is a technology which is used widely for distance measuring and unknown environment surveying. LiDAR has the features including long distance detection, high range measurement resolution and robustness in complex ambient lighting situation. Currently, LiDAR is intensively utilized in various astronautics researches such as rover landing, docking in planetary orbit and atmospheric composition detection. This paper introduces two 2D and one 3D mapping systems using SLAM-aided LiDAR, presents all the three systems currently performance in indoor and forest cases, and finally discusses the possibility of applying the technology into various applications such as unknown environment mapping, navigation, BIM (Building Information Modelling) and damage detection in deep space exploration.

Keywords

Laser scanning SLAM Deep space exploration NAVIS 

Notes

Acknowledgements

This study was financially supported by the Chinese Academy of Science (181811KYSB20130003), by Chinese Ministry of Science and Technology (2015DFA70930) and the National Nature Science Foundation of China (41304004), by the Academy of Finland projects “Towards Precision Forestry”, “Centre of Excellence in Laser Scanning Research (CoE-LaSR) (272195)”, “Interaction of Lidar/Radar Beams with Forests Using Mini-UAV and Mobile Forest Tomography”.

References

  1. 1.
  2. 2.
  3. 3.
    China Nation Space Administration,” Chinese Lunar Exploration Program”, June, 2014.Google Scholar
  4. 4.
    Y. Takizawa, S. Sasaki, M. Kato, “KAGUYA (SELENE) mission overview,” Proceedings of the 26th ISTS (International Symposium on Space Technology and Science), Hamamatsu City, Japan, June 1–8, 2008.Google Scholar
  5. 5.
    H. Yano, T. Kubota, H. Miyamoto, T. Okada, D. Scheeres, Y. Takagi, K. Yoshida, M. Abe1, S. Abe, O. Barnouin-Jha, A. Fujiwara, S. Hasegawa, T. Hashimoto, M. Ishiguro, M. Kato, J. Kawaguchi, T. Mukai, J. Saito1, S. Sasaki, M. Yoshikawa, “Touchdown of the Hayabusa Spacecraft at the Muses Sea on Itokawa”, Science, vol. 312, pp. 1350–1353, 2006.Google Scholar
  6. 6.
    Zhang H H, Liang J, Huang X Y, Zhao Y, Wang L, Guan Y F, Cheng M, Li J, Wang P J, Yu J, Yuan L, “Autonomous hazard avoidance control for Chang’E-3 soft landing (In Chinese)”. Sci Sin Tech, vol, 44, pp. 559–568, 2014.Google Scholar
  7. 7.
    Lamoreux, James C., Siekierski, James D., Carter, J. P. N., “Space Shuttle thermal protection system inspection by 3D imaging laser radar”, Proc. SPIE, Vol, 5412, PP, 273–281, 2014.Google Scholar
  8. 8.
    H. Durrant-Whyte and T. Bailey, “Simultaneous localization and mapping: part I,” IEEE Robotics & Automation Magazine, vol. 13, pp. 99–110, 2006.Google Scholar
  9. 9.
    T. Bailey and H. Durrant-Whyte, “Simultaneous localization and mapping (SLAM): part II,” Robotics & Automation Magazine, IEEE, vol. 13, no. 3, pp. 108–117, 2006.Google Scholar
  10. 10.
    J Tang, Y Chen, A Kukko, H Kaartinen, A Jaakkola, E Khoramshahi,T Hakala, J Hyyppä, M Holopainen, H Hyyppä, “SLAM-Aided Stem Mapping for Forest Inventory with Small-Footprint Mobile LiDAR”, Forests, vol. 6, pp. 4588–4606, 2015.Google Scholar
  11. 11.
    J Tang, Y Chen, M Lehtomäki, H Kaartinen, L Zhu, K Risto, Y Wang, J Hyyppä, H Hyyppä, “The Accuracy Comparison of Three SLAM based Indoor Mapping Technologies”, unpublished, 2016.Google Scholar
  12. 12.
    J Tang, Y Chen, A Jaakkola, J Liu, J Hyyppä and H Hyyppä, “NAVIS-An UGV Indoor Positioning System Using Laser Scan Matching for Large-Area Real-Time Applications”, Sensors, vol. 14, pp. 11805–11824, 2014.Google Scholar
  13. 13.
    H. Riris, J. Cavanaugh. X. Sun, P. Liiva, M. Rodriguez, G. Neuman, NASA GSFC, USA, Sigma Space, “The lunar orbiter laser altimeter (LOLA) on NASA’s lunar reconnaissance orbiter (lro) mission”, International Conference on Space Optics, 2010.Google Scholar
  14. 14.
    Wang Jianyu, Shu Rong, Chen Weibiao, Jia Jianjun, Huang Genghua, Wang Binyong, Hou Xia, “CE-1 Satellite based Laser Altimeter”, Science China press, Vol 40, issue 8, pp. 1063–1070, 2010.Google Scholar
  15. 15.
    L Pedersen, M Allan, H Utz, M Deans, X Bouyssounouse, Y Choi, L Flückiger, S Y. Lee, V To, J Loh, W Bluethmann, R R. Burridge, J Graf, K Hambüchen “Tele-operated Lunar Rover Navigation Using LiDAR”. International Symposium on Artificial Intelligence, Robotics and Automation in Space (I-SAIRAS), Turin, Italy, 2012.Google Scholar
  16. 16.
    I Rekleitis, J L Bedwani, E Dupuis. “Autonomous Planetary Exploration using LIDAR data”, IEEE International Conference on Robotics and Automation Kobe International Conference Center Kobe, Japan, 2009.Google Scholar
  17. 17.
    M W Hussein, J W Tripp. “3D Imaging Lidar for Lunar Robotic Exploration”, Proc. SPIE 7331, Space Exploration Technologies II. Orlando, 2009.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yuwei Chen
    • 1
    • 2
  • Jian Tang
    • 3
    • 2
  • Ziyi Feng
    • 2
  • Teemu Hakala
    • 2
  • Juha Hyyppä
    • 2
  • Chuncheng Zhou
    • 1
  • Lingli Tang
    • 1
  • Chuanrong Li
    • 1
  1. 1.Key Laboratory of Quantitative Remote Sensing Information TechnologyAcademy of Opto-Electronics, Chinese Academy of ScienceBeijingChina
  2. 2.Department of Remote Sensing and PhotogrammetryFinnish Geospatial Research InstituteKirkkonummiFinland
  3. 3.GNSS Research CenterWuhan UniversityWuhanChina

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