TY - GEN
T1 - An efficient artificial landmark-based system for indoor and outdoor identification and localization
AU - Salahuddin, Mohammad A.
AU - Al-Fuqaha, Ala
AU - Gavirangaswamy, Vinay B.
AU - Ljucovic, Marko
AU - Anan, Muhammad
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Artificial Landmark-Based Localization
KW - Dynamic Exclusion Heuristic
KW - Graphics Processing Unit (GPU)
KW - Indoor Localization
KW - Outdoor Localization
UR - http://www.scopus.com/inward/record.url?scp=80052439026&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2011.5982598
DO - 10.1109/IWCMC.2011.5982598
M3 - Conference contribution
AN - SCOPUS:80052439026
SN - 9781424495399
T3 - IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference
SP - 583
EP - 588
BT - IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference
T2 - 7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011
Y2 - 4 July 2011 through 8 July 2011
ER -