An efficient artificial landmark-based system for indoor and outdoor identification and localization

Mohammad A. Salahuddin*, Ala Al-Fuqaha, Vinay B. Gavirangaswamy, Marko Ljucovic, Muhammad Anan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Current technologies for localization such as Global Positioning Systems (GPS) and Inertial Measurement Unit (IMU) have limitations in terms of accuracy, cost, signal attenuation and need for re-calibration over time, which leads to a compromise in performance and accuracy. In this paper, we present a novel Artificial Landmark-Based Identification System (ALIS), which can be used in both indoor and outdoor localization applications. ALIS is a multi-part landmark-based localization approach, which uses template matching techniques to find multiple landmark patterns in an image to estimate distance from the landmark. A novel combination of pre- and post-processing techniques is used to improve template matching results. The image is enhanced by using high boost filtering and histogram equalization techniques, which sharpen the feature edges and improves the image contrast, respectively. Instead of simple averaging techniques, a novel dynamic exclusion heuristic is utilized, which converges the distance estimation results closer to the actual physical distance. Significant contributions of this paper are in the use of server assistance in pattern identification, Graphic Processing Unit (GPU) for faster parallel processing of computationally intensive algorithms, and multiple pattern identification for better distance estimation.

Original languageEnglish
Title of host publicationIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference
Pages583-588
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011 - Istanbul, Turkey
Duration: 4 Jul 20118 Jul 2011

Publication series

NameIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference

Conference

Conference7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011
Country/TerritoryTurkey
CityIstanbul
Period4/07/118/07/11

Keywords

  • Artificial Landmark-Based Localization
  • Dynamic Exclusion Heuristic
  • Graphics Processing Unit (GPU)
  • Indoor Localization
  • Outdoor Localization

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