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Intelligent vehicles are being used in transportation and robotics. Many applications of robotics and for transportation, self-position of vehicle needs to be determined. Among many methods for determining self-position, fusion of many methods offers great advantages as information obtained from one methodology cannot be obtained from others. In this paper, an attempt has been made to estimate self-position of intelligent vehicles in a cluttered environment. The methods are compared and fusion of the methods is studied to determine self-position of intelligent vehicles accurately.
Ashwani Kumar Aggarwal (Tue,) studied this question.