Author： Al-Fuqaha Ala Elbes Mohammed Rayes Ammar
Publisher： Emerald Group Publishing Ltd
ISSN： 1742-7371
Source： International Journal of Pervasive Computing and Communications, Vol.9, Iss.2, 2013-06, pp. : 163-183
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
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.
Related content
Access to resources
Recommend
