Real-time 3D vision solution for on-orbit autonomous rendezvous and docking

Neptec has developed a vision system for the capture of non-cooperative objects on orbit. This system uses an active TriDAR sensor and a model based tracking algorithm to provide 6 degree of freedom pose information in real-time from mid range to docking. This system was selected for the Hubble Robotic Vehicle De-orbit Module (HRVDM) mission and for a Detailed Test Objective (DTO) mission to fly on the Space Shuttle. TriDAR (triangulation + LIDAR) technology makes use of a novel approach to 3D sensing by combining triangulation and Time-of-Flight (ToF) active ranging techniques in the same optical path. This approach exploits the complementary nature of these sensing technologies. Real-time tracking of target objects is accomplished using 3D model based tracking algorithms developed at Neptec in partnership with the Canadian Space Agency (CSA). The system provides 6 degrees of freedom pose estimation and incorporates search capabilities to initiate and recover tracking. Pose estimation is performed using an innovative approach that is faster than traditional techniques. This performance allows the algorithms to operate in real-time on the TriDAR's flight certified embedded processor. This paper presents results from simulation and lab testing demonstrating that the system's performance meets the requirements of a complete tracking system for on-orbit autonomous rendezvous and docking.

[1]  Adam Deslauriers,et al.  The complementary nature of triangulation and ladar technologies , 2005, SPIE Defense + Commercial Sensing.

[2]  Manny R. Leinz,et al.  Modeling, simulation, testing, and verification of the Orbital Express Autonomous Rendezvous and Capture Sensor System (ARCSS) , 2008, SPIE Defense + Commercial Sensing.

[3]  C. Samson,et al.  3D Imaging and Modelling with a Space-qualified Laser Camera System: Development of Terrestrial Applications and Potential for Planetary Exploration , 2003 .

[4]  Stephane Ruel,et al.  3D LASSO: REAL-TIME POSE ESTIMATION FROM 3D DATA FOR AUTONOMOUS SATELLITE SERVICING , 2005 .

[5]  Timothy E. Rumford Demonstration of autonomous rendezvous technology (DART) project summary , 2003, SPIE Defense + Commercial Sensing.

[6]  Andrew E. Johnson,et al.  Surface registration by matching oriented points , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[7]  Francois Blais,et al.  Imaging and tracking elements of the International Space Station using a 3D autosynchronized scanner , 2002, SPIE Defense + Commercial Sensing.

[8]  Robert Bergevin,et al.  Towards a General Multi-View Registration Technique , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Mitsushige Oda,et al.  NASDA's activities in space robotics , 1999 .

[10]  Stephane Ruel,et al.  Field testing of a 3D automatic target recognition and pose estimation algorithm , 2004, SPIE Defense + Commercial Sensing.

[11]  Francois Blais,et al.  Neptec 3D Laser Camera System: from space mission STS-105 to terrestrial applications , 2002 .

[12]  Yi Ping Hung,et al.  A fast automatic method for registration of partially-overlapping range images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[13]  Stephane Ruel,et al.  Development of a practical 3D automatic target recognition and pose estimation algorithm , 2004, SPIE Defense + Commercial Sensing.

[14]  Stan P. Piechocinski,et al.  Experimental determination of relative motion measurement accuracy for an auto-synchronous triangulation scanning laser camera , 2005, SPIE Defense + Commercial Sensing.

[15]  Stephane Ruel,et al.  TriDAR: A HYBRID SENSOR FOR EXPLOITING THE COMPLEMENTARY NATURE OF TRIANGULATION AND LIDAR TECHNOLOGIES , 2005 .

[16]  Ross Taylor,et al.  Shuttle TPS inspection using triangulation scanning technology , 2005, SPIE Defense + Commercial Sensing.

[17]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Maarten Vergauwen,et al.  On satellite vision-aided robotics experiment , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).