Object modeling and matching from multiview ground images for automated Mars rover localization

Abstract

Abstract—This paper presents an innovative method for object modeling and matching from multi-view ground images for automated Mars rover localization. In this method, rocks are first extracted from a selection of 3D ground points that are generated from dense matching. The extracted rocks are then modeled using analytical surfaces such as ellipsoids, hemispheres, cones, and tetrahedrons. The extracted rocks of two rover stations are matched through a robust algorithm that matches the geometric configuration patterns of the rocks from the two stations using an improved Hough transform technique, followed by a heuristic refinement. Finally, peaks of the matched rocks serve as cross-site tie points in bundle adjustment of the rover image network. Experiments conducted using Navcam images acquired from the 2003 Mars Exploratio