Robust spacecraft motion estimation and elevation modeling using a moving binocular head

Details Robust spacecraft motion estimation and elevation modeling using a moving binocular head Robust spacecraft motion estimation and elevation modeling using a moving binocular head

Nov 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992spie.1829...46p&link_type=abstract

In: Cooperative intelligent robotics in space III; Proceedings of the Meeting, Boston, MA, Nov. 16-18, 1992 (A93-29101 10-54), p

Mathematics

Autonomous Navigation, Binocular Vision, Computer Vision, Robustness (Mathematics), Spacecraft Motion, Dynamic Models, Elevation, Real Time Operation, Satellite Tracking

Scientific paper

A novel technique for automatic elevation model computation is introduced. The technique employs a binocular camera system and an algorithm termed hierarchical feature vector matching to derive an elevation model, as well as to compute the interframe correspondences for tracking. It is argued that this algorithm unifies the procedures of range estimation (i.e., stereo correspondence), tracking (i.e., interframe correspondence), and recognition (input/model correspondence). This technique is demonstrated using a physical model of the Mars surface and a binocular camera system with seven geometrical degrees of freedom. This system provides a tool to generate realistic test imagery for the mock-up of a spacecraft approaching the landing site. The trajectory of the spacecraft can be predefined and is controlled by a computer interfaced to seven motorized positioners. Several experiments defined to estimate the accuracy of the computer vision system are reported.

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