@article{oai:nagoya.repo.nii.ac.jp:00007798,
 author = {Mase, Takahiko and Hirano, Yasushi and Kajita, Shoji and Mase, Kenji},
 journal = {11th International Symposium on Wearable Computers},
 month = {},
 note = {We propose a method of improving accuracy of WLAN-based location estimation. The WLAN-based location estimation is a convenient method once a dense map of access points (APs) is prepared by AP hunting such as war-driving/walking. However, the density of the APs cannot be always high. Rather, it is still low such that less than three APs are found even in urban areas. We propose recursive estimation methods and experimentally compare to the existing method, where the estimation accuracy was improved from 41.6 meters to 31.1 meters at a low density area best case.},
 pages = {117--118},
 title = {Improving Accuracy of WLAN-Based Location Estimation by Using Recursive Estimation},
 year = {2007}
}