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

Abstract

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.

Citation

Al‐Fuqaha, A., Elbes, M. and Rayes, A. (2013), "An intelligent data fusion technique based on the particle filter to perform precise outdoor localization", International Journal of Pervasive Computing and Communications, Vol. 9 No. 2, pp. 163-183. https://doi.org/10.1108/IJPCC-02-2013-0001