Novel Method of Monocular Real-Time Feature Point Tracking for Tethered Space Robots-Reference-Cited by-同舟云学术

Novel Method of Monocular Real-Time Feature Point Tracking for Tethered Space Robots

Published:2014-11 Issue:6 Volume:27 Page:04014039
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Huang Panfeng¹,Cai Jia²,Meng Zhongjie³,Hu Zehong⁴,Wang Dongke²

Affiliation:

1. Professor, National Key Laboratory of Aerospace Flight Dynamics, and Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China (corresponding author).

2. Ph.D. Candidate, National Key Laboratory of Aerospace Flight Dynamics, and Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China.

3. Lecturer, National Key Laboratory of Aerospace Flight Dynamics, and Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China.

4. National Key Laboratory of Aerospace Flight Dynamics, and Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000367

Reference46 articles.

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2. Benfold B. and Reid I. (2011). “Stable multi-target tracking in real-time surveillance video.” Computer Vision and Pattern Recognition (CVPR) 2011 IEEE Conf. IEEE New York 3457–3464.

3. Coordinated Control of Space Robot Teams for the On-Orbit Construction of Large Flexible Space Structures

4. Calonder M. Lepetit V. Strecha C. and Fua P. (2010). “Brief: Binary robust independent elementary features.” Computer Vision—ECCV 2010 Springer Berlin 778–792.

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