Toward an autonomous feature-based pointing system for planetary missions

Computer Science

Scientific paper

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Scientific paper

Although the analytical groundwork for understanding two-dimensional object images and various aspects of computer vision has been laid, we have not yet applied these concepts to automating the process of obtaining science images during space exploration missions. Our current approach in specifying pointing-command sequences relies heavily on target predicts, based on predicted target and spacecraft ephemerides, that propagate the target position as a function of time during pointing operations. However, because the actual position of the target is never measured on board, the tracking loop must be closed through the ground processing operation. This round-trip communication-time limit can place severe limits on pointing accuracy, particularly during brief moments of closest approach. In this paper, we formulate and outline autonomous feature-based pointing requirements that can support a wide range of space science missions. The issues addressed include target-position estimation; acquisition and tracking of unresolved, partially viewed, and close-up targets; operation, and validation of point designs. Detailed algorithms and test results based on Voyager image data are also presented.

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