Acta Geodaetica et Cartographica Sinica ›› 2021, Vol. 50 ›› Issue (11): 1457-1468.doi: 10.11947/j.AGCS.2021.20210290

• Environment Perception for Intelligent Driving • Previous Articles     Next Articles

Progresses and prospects of environment perception and navigation for deep space exploration rovers

DI Kaichang1, WANG Jia2, XING Yan3, LIU Zhaoqin1, WAN Wenhui1, PENG Man1, WANG Yexin1, LIU Bin1, YU Tianyi2, LI Lichun2, LIU Chuankai2   

  1. 1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China;
    2. Beijing Aerospace Control Center (BACC), Beijing 100094, China;
    3. Beijing Institute of Control Engineering, Beijing 100194, China
  • Received:2021-05-20 Revised:2021-07-15 Published:2021-12-07
  • Supported by:
    The National Key Research and Development Program of China (No. 2018YFB1305004)

Abstract: Environment perception and navigation are the core technologies for automated driving of deep space exploration rovers. Due to the special circumstances of the deep space environment, the rover’s environment perception and navigation are particularly challenging comparing to the corresponding technologies in autonomous car driving on Earth. The paper presents a review of the progresses of environment perception, rover localization and path planning, from engineering application and scientific research perspectives. Moreover, the future prospects of intelligent environment perception and long-range rover navigation are discussed.

Key words: deep space exploration, lunar rover, Mars rover, environment perception, visual localization, path planning

CLC Number: