An intelligent data fusion technique based on the particle filter to perform precise outdoor localization

Purpose: Outdoor localization is an important issue for many applications, such as autonomous mobile robotics and augmented reality. The purpose of this paper is to propose a budgeted dynamic exclusion heuristic based on signal phase shifts from multiple base stations. Design/methodology/approach: The authors also propose an outdoor localization technique based on the particle filter for data fusion and present an overview of a potential target application of the proposed outdoor localization approach for the blind and visually impaired (BVI). Findings: The combination of multiple sensor data tends to overcome the drawbacks of using one sensor technology in the localization process. Originality/value: The novelty of the proposed approach stems from its ability to fuse data collected from different sensor technologies to converge to more accurate position estimation.