>> Please email to panjunfeng[at]gmail(dot)com for the download link. Please comment on how you like it. Thanks!

The software has the following features

• Support common wireless devices
• Multi-layer map building
• WiFi Received-Signal-Strength data collection as well as user locations
• Rceived-Signal-Strength based Localization and Tracking
• Signal coverage analysis of access points
• Collected data and be directly exported to Matlab for advanced analysis

Download it now!

• Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. [Paper] [Slides] [Bibtex]
  Jeffrey J. Pan, Qiang Yang, Jialin Pan. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI-07) Regular paper. 
   
• Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian (in Wireless and Sensor Networks). [Paper][Slides][Bibtex]
  Jeffrey J. Pan, Qiang Yang.  In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad, India. Jan, 2007. Regular paper.
   
• A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. [Paper] [Slides] [Bibtex]
  Jeffrey J. Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Regular paper. 
   
• Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing. [Paper] [Slides] [Bibtex]
  Jeffrey J. Pan, James T. Kwok, Qiang Yang, Yiqiang Chen.  IEEE Transactions on Knowledge and Data Engineering (TKDE). Sept. 2006. Regular paper.  
   
• Accurate and low-cost location estimation using kernels. [Paper] [Slides] [Bibtex]
  Jeffrey J. Pan, James T. Kwok, Qiang Yang, Yiqiang Chen. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), July 2005. Regular paper.