This article investigates the use of artificial neural networks for developing an alternative integration scheme of low cost Microelectromechanical System (MEMS) Inertial Navigation System (INS) and Global Positioning System (GPS) for vehicular navigation applications. The primary objective is to overcome the limitations of current INS/GPS integration scheme and improve the positioning accuracy during GPS signal blockages. The results presented in this article indicated that the proposed technique was able to provide 47% and 78% improvement in terms of positioning accuracy during GPS signal blockages.

While digital techniques were introduced to map production in the 1970’s, the driver for utilising digital tools to manage this wide range of activities was the land administration functions of the six states and two territories. Developed in concert by the legal and surveying professions, these state and territory based land administrations functions led to digital land valuation systems as early as 1968 in South Australia. Building upon such initiatives; government guaranteed computerised land registration and automated valuation systems have been built.