Abstract
Autonomous Underwater Vehicles (AUVs) arc one of the key technologies for deep oceanic research. The working space for AUVs is one of extreme environments and very hard for human to access directly. AUV is one of solutions to access the deep ocean, however, many problems exits to be the sufficient tool. One of big problems for AUVs is the self-localization, and in order to estimate its position, the dead-reckoning is often used. The dead-reckoning method is week to disturbances from its nature of algorithm, so that we introduced Monte Carlo method in the estimation process of localization. In this paper, we introduce a goal searching algorithm based on Monte Carlo method.
