Geographic information system based estimation and correction algorithm for outdoor location

Nowadays, with the development of navigation and location, many kinds of outdoor locating methods are surveyed and used, such as Global Position System (GPS) and LTE fingerprint-based positioning system. However, as the most compelling focus, the localization accuracies of these systems are limited by the location systems themselves. Therefore, in order to improve the localization accuracy, we should use some additional information, for example, Geographic Information System map information. In this paper, we propose an outdoor navigation location estimation and correction algorithm based on Geographic Information System map information. We implement the algorithm from offline phase and online phase. We make a judgment of indoor or outdoor for the original results of the localization system. Besides, for the users who are outdoors, we make a correction to the locating points based on road network information from the shortest distance, time, moving states, width of the road and other aspects. We implement the proposed method in some urban areas and evaluate their performances. The experiment results show that the proposed algorithm can improve the localization accuracy effectively and make the localization results more reasonable.