隨著越來越多準確的行人定位系統出現， 其中一個重要的議題就是如何讓它們融入生活之中，靠著都會行人必備的行動電話來提供定位，就能夠很自然地融入他們的日常生活裡。由於智慧型手機開始內建GPS、WiFi、加速度計與電子羅盤，我們提出一個混合式的系統，利用WiFi與感測器來避免Urban Canyon的問題， 因為智慧型手機上內建的低階感測器容易有雜訊， 因此混合的過程並不直覺， 我們採用了基於信心度的混合式演算法來解決這個問題。

As more and more accurate pedestrian localization systems emerged, one of the next important issues is how to make them into real lives. Providing localization with mobile phones which are indispensable for urban pedestrians would naturally embed localization into their daily lives. For smart phones start to include GPS, WiFi, accelerometers and digital compass, we propose a hybrid system to leverage WiFi and the sensors to avoid GPS’s urban canyon problem. The default low-end sensorson the smart phones are so noisy that the hybrid process is not intuitive. We adopt a confidence-based hybrid algorithm to solve the problem.