Planetary surface landing area selection based on single image and closed environment avoidance

被引:0
|
作者
Wei, Ruo-Yan [1 ,2 ]
Ruan, Xiao-Gang [1 ]
Xiao, Yao [1 ]
Zhu, Xiao-Qing [1 ,3 ]
Huang, Jing [1 ,4 ]
机构
[1] School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing,100124, China
[2] College of Information Technology, Hebei University of Economics and Business, Shijiazhuang,050061, China
[3] Center for Intelligent Machine, McGill University, Montreal,H3A0C3, Canada
[4] The Pilot College, Beijing University of Technology, Beijing,101101, China
关键词
Musculoskeletal system - Hazards - Landing;
D O I
10.3969/j.issn.1001-506X.2015.12.21
中图分类号
学科分类号
摘要
For avoiding the lander landing on the flat areas in a closed environment in the process of soft landing on asteroid, a landing area selection method based on a single image is proposed. Firstly, the proposed method of binary is applied to extract hazards, and the skeleton of areas with no hazards is extracted. Secondly, take the intersection points with three lines of the skeleton as the center of landing circles. Finally, the best landing circle can be obtained by the scoring method with the help of radius, connection among circles, circle's texture characters, and the cluster feature of circle's center with all the hazards. Compared with other methods the proposed landing area selection method is highlighted with fewer obstacles, and can avoid landing on the place in a closed environment. © 2015, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:2799 / 2809
相关论文
共 50 条
  • [32] Image-based Obstacle Avoidance using 3DConv Network for Rocky Environment
    Boudiaf, Abderrahmene
    Al Sumaiti, Ameena
    Dias, Jorge
    2022 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTIC AND SENSORS ENVIRONMENTS (ROSE), 2022,
  • [33] Multi-information based safe area step selection algorithm for UAV's emergency forced landing
    Lu, A. (luaiying730@126.com), 1600, Academy Publisher (08):
  • [34] SAISAQ: A novel tool for semiautomatic image based surface area quantification
    Kurth, Meike
    Hoernes, David
    Roedder, Dennis
    NORTH-WESTERN JOURNAL OF ZOOLOGY, 2014, 10 (01) : 217 - 220
  • [35] Surface area based illumination intensity measurement via digital image
    Turhal, Umit Cigdem
    Buyukkocak, Yavuz
    PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2020, 26 (02): : 312 - 317
  • [36] Pre and post-landing atmospheric optical depths at the Zhurong landing site on Mars retrieved using a single-image-based approach
    Liu, Wai Chung
    Wu, Bo
    Li, Zhaojin
    Dong, Jie
    Rao, Wei
    ICARUS, 2022, 387
  • [37] Single Image Based Depth Estimation for Maritime Surface Targets
    Sun, Jishan
    Chen, Yaojie
    Wang, Wei
    PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC), 2021, : 149 - 155
  • [38] Low-Power Parallel Algorithms for Single Image based Obstacle Avoidance in Aerial Robots
    Lenz, Ian
    Gemici, Mevlana
    Saxena, Ashutosh
    2012 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2012, : 772 - 779
  • [39] Visible and Near-Infrared Image Fusion based on Visually Salient Area Selection
    Shibata, Takashi
    Tanaka, Masayuki
    Okutomi, Masatoshi
    DIGITAL PHOTOGRAPHY XI, 2015, 9404
  • [40] Intelligent scene matching suitable area selection method based on remote sensing image
    Fan J.
    Yang X.
    Lu R.
    Li Q.
    Xia H.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2023, 31 (01): : 14 - 23