Feature Matching Navigation Techniques for Lidar-Based Planetary Exploration

When landing on planetary bodies it is desired to determine accurately the velocity and the position of the spacecraft relative to a selected target position on the surface of the body. This paper responds to that requirement by proposing Lidar-based advanced navigation techniques based on feature matching. Some of the techniques proposed are inspired from conventional 2D and 1D correlation techniques while others are taking advantage of technologies already validated in space and known as star constellation matching algorithms. After presenting the concepts of each algorithm, a realistic validation scenario based on a Mars landing reference mission is presented with comprehensive simulation results. At the end, analyses of the advantages and drawbacks are presented.

[1]  Richard W. Powell,et al.  Systems for pinpoint landing at Mars , 2004 .

[2]  Stephen Paschall,et al.  GN&C Technology Needed to Achieve Pinpoint Landing Accuracy at Mars , 2004 .

[3]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[4]  Lars Bretzner,et al.  Multi-scale feature tracking and motion estimation , 1999 .

[5]  Daniele Mortari,et al.  The Pyramid Star Identification Technique , 2004 .

[6]  Andrew E. Johnson,et al.  Motion estimation from laser ranging for autonomous comet landing , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[7]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[8]  Andrew E. Johnson,et al.  Machine vision for autonomous small body navigation , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[9]  R. W. Gaskell Automated landmark identification for spacecraft navigation , 2001 .

[10]  Jean de Lafontaine,et al.  Validation of Autonomous Hazard-Avoidance Mars Landing via Closed-Loop Simulations , 2005 .

[11]  Jake K. Aggarwal,et al.  Estimation of motion from a pair of range images: A review , 1991, CVGIP Image Underst..

[12]  Larry H. Matthies,et al.  Crater detection for autonomous landing on asteroids , 2001, Image Vis. Comput..

[13]  Andrew E. Johnson,et al.  Surface landmark selection and matching in natural terrain , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[14]  Pietro Perona,et al.  Real-time 2-D feature detection on a reconfigurable computer , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[15]  Emanuele Trucco,et al.  Making good features track better , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[16]  C. Morandi,et al.  Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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