Abstract

As part of the Multiple Autonomous Underwater Vehicle (MAUV) project at the National Bureau of Standards, a spatial mapping system has been developed to provide a model of the underwater environment suitable for autonomous navigation. The system is composed of multi-resolution depth maps designed to integrate sensor data with an a priori model, an object/attribute database for storing information about detected objects, and a set of flags to monitor abnormal or emergency conditions in the environment. This paper describes the struc-ture of the mapping system and the algorithms used to map terrain and obstacles detected by acoustic sonar.

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