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Leung, K. L.

Publications and source records attributed to Leung, K. L..

Simulation of obstacle detection scheme for Mars terrain using minicomputer

Simulation for detection of obstacles on Martian terrain by a laser rangefinder mounted on an autonomous roving vehicle is achieved by a rapid estimation scheme on a computer with IDIIOM display. Near and far edges of pyramids and hemispherical craters or boulders can be recognized if the obstacles are more than about 15 m from the laser rangefinder and the noise standard deviation is less than about 10 cm. If these conditions are not met the rapid estimation scheme can still detect the top edge of a boulder and the near edge of a crater. The scheme is considered equivalent or better than an earlier (Reed, Sanyal, and Shen, 1974) four-directional Laplacian method, but requires slightly more computation.

Leung, K. L.↗

Classification of terrain models for Martian vehicle

This paper develops a procedure for an autonomous Martian rover to classify objects into obstacles and non-obstacles. These so called 'objects' are actually models generated by the Terrain Modeling and Edge Detection schemes. The classification process is performed using a set of object parameters which distinguish unobstructive objects from obstacles.

Leung, K. L.↗