Autonomous relative navigation around uncooperative spacecraft based on a single camera

[1]  Paul Geladi,et al.  Principal Component Analysis , 1987, Comprehensive Chemometrics.

[2]  Yu Cheng,et al.  Fault-tolerant pose and inertial parameters estimation of an uncooperative spacecraft based on dual vector quaternions , 2019 .

[3]  Marco Lovera,et al.  Comparison of filtering techniques for relative attitude estimation of uncooperative space objects , 2019, Aerospace Science and Technology.

[4]  Simone D'Amico,et al.  Robust Model-Based Monocular Pose Initialization for Noncooperative Spacecraft Rendezvous , 2018, Journal of Spacecraft and Rockets.

[5]  M. Reza Emami,et al.  Image-based attitude maneuvers for space debris tracking , 2018 .

[6]  Roberto Opromolla,et al.  Design of relative trajectories for in orbit proximity operations , 2018 .

[7]  Riccardo Bevilacqua,et al.  Survey on Guidance Navigation and Control Requirements for Spacecraft Formation-Flying Missions , 2017 .

[8]  Roberto Opromolla,et al.  A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations , 2017 .

[9]  Giovanni B. Palmerini,et al.  Preliminary analysis of visual navigation performance in close formation flying , 2017, 2017 IEEE Aerospace Conference.

[10]  Michèle Lavagna,et al.  Stereovision-based pose and inertia estimation of unknown and uncooperative space objects , 2017 .

[11]  Giovanni B. Palmerini,et al.  Pose and Shape Reconstruction of a Noncooperative Spacecraft Using Camera and Range Measurements , 2017 .

[12]  Antonio Pedro Aguiar,et al.  Second-Order-Optimal Minimum-Energy Filters on Lie Groups , 2016, IEEE Transactions on Automatic Control.

[13]  Marco Pavone,et al.  Spacecraft Autonomy Challenges for Next-Generation Space Missions , 2016 .

[14]  John A. Christian,et al.  LIDAR-based Relative Navigation of Non-Cooperative Objects Using Point Cloud Descriptors , 2016 .

[15]  M. Reza Emami,et al.  Direct image-based visual servoing of free-floating space manipulators , 2016 .

[16]  Sumant Sharma,et al.  Comparative assessment of techniques for initial pose estimation using monocular vision , 2016 .

[17]  Xiaogang Wang,et al.  A novel decentralized relative navigation algorithm for spacecraft formation flying , 2016 .

[18]  Abdelhamid Tayebi,et al.  On the design of synergistic potential functions on SO(3) , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[19]  Alvar Saenz-Otero,et al.  Engineering Notes Relative Computer Vision-Based Navigation for Small Inspection Spacecraft , 2015 .

[20]  Shifeng Zhang,et al.  Relative attitude and position estimation for a tumbling spacecraft , 2015 .

[21]  Robert E. Mahony,et al.  Nonlinear Attitude Filtering: A Comparison Study , 2015, ArXiv.

[22]  Shai Segal,et al.  Stereovision-Based Estimation of Relative Dynamics Between Noncooperative Satellites: Theory and Experiments , 2014, IEEE Transactions on Control Systems Technology.

[23]  John Leif Jørgensen,et al.  Pose estimation of an uncooperative spacecraft from actual space imagery , 2014 .

[24]  Robert E. Mahony,et al.  Minimum-Energy Filtering for Attitude Estimation , 2013, IEEE Transactions on Automatic Control.

[25]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[26]  Stephen M. Rock,et al.  Improved frame-to-frame pose tracking during vision-only SLAM/SFM with a tumbling target , 2011, 2011 IEEE International Conference on Robotics and Automation.

[27]  Robert E. Mahony,et al.  Gradient-Like Observers for Invariant Dynamics on a Lie Group , 2008, IEEE Transactions on Automatic Control.

[28]  I. Bar-Itzhack,et al.  Direction Cosine Matrix Estimation from Vector Observations using a Matrix Kalman Filter , 2003, IEEE Transactions on Aerospace and Electronic Systems.

[29]  P. Gurfil,et al.  Effect of Kinematic Rotation-Translation Coupling on Relative Spacecraft Translational Dynamics , 2009 .

[30]  Bo J. Naasz,et al.  The HST SM4 Relative Navigation Sensor System: Overview and Preliminary Testing Results from the Flight Robotics Lab , 2009 .

[31]  V. Lepetit,et al.  EPnP: An Accurate O(n) Solution to the PnP Problem , 2009, International Journal of Computer Vision.

[32]  Stéphane Reynaud,et al.  Accurate and autonomous navigation for the ATV , 2007 .

[33]  Christophe Doignon,et al.  An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques , 2007 .

[34]  Dan Simon,et al.  Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches , 2006 .

[35]  P. Gurfil.  Relative Motion between Elliptic Orbits: Generalized Boundedness Conditions and Optimal Formationkeeping , 2005 .

[36]  Larry S. Davis,et al.  Model-based object pose in 25 lines of code , 1992, International Journal of Computer Vision.

[37]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[38]  Philip David,et al.  SoftPOSIT: Simultaneous Pose and Correspondence Determination , 2002, International Journal of Computer Vision.

[39]  Steven Dubowsky,et al.  State, shape, and parameter estimation of space objects from range images , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[40]  K. Yamanaka,et al.  New State Transition Matrix for Relative Motion on an Arbitrary Elliptical Orbit , 2002 .

[41]  F. Markley,et al.  Quaternion Attitude Estimation Using Vector Observations , 2000 .

[42]  H. Barré,et al.  An overview of the XMM observatory system. , 1999 .

[43]  K. V. Katwijk.  Mechanical and Thermal Design of XMM , 1999 .

[44]  Janne Heikkilä,et al.  A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[45]  Steven Gold,et al.  A Graduated Assignment Algorithm for Graph Matching , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[46]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[47]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[48]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[49]  R. Mortensen.  Maximum-likelihood recursive nonlinear filtering , 1968 .

[50]  W. H. Clohessy,et al.  Terminal Guidance System for Satellite Rendezvous , 2012 .

[51]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .