Possibility of Applying SLAM-Aided LiDAR in Deep Space Exploration

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


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.


Laser scanning SLAM Deep space exploration NAVIS 



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”.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yuwei Chen
    • 1
    • 2
  • Jian Tang
    • 3
    • 2
  • Ziyi Feng
    • 2
    Email author
  • 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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