The mobile mapping technology has been widely used in numerous spatial information related applications. Such system is known as a Mobile Mapping System (MMS). The core ingredient of the mobile mapping technology is known as Direct Geo-referencing (DG). The integration of Inertial Measurement Unit (IMU) and Global Navigation Satellite System (GNSS) is able to continuously provide position and orientation of the MMS for further applications. The Micro Electro Mechanical System (MEMS) sensors such as IMU and magnetometers are commonly equipped in most of smart phones. Therefore, there are numerous researches concerning the indoor navigation using smart phone with traditional INS mechanization and Pedestrian Dead Reckoning (PDR), respectively. As the indoor navigation technology has gradually become matured, the indoor mapping applications using the mobile mapping technology become possible. However, because PDR usually operates in GNSS challenging environment and it is affected by large variation of carrier's movement as well. Therefore, it is a challenge to use PDR for indoor mobile mapping applications as it is not able to provide complete exterior orientation parameters requested by mobile mapping applications. To investigate the applicability of using several commercially smart phones for indoor mobile mapping applications, several scenarios are implemented in this study. The laboratory calibration has been executed to evaluate the specifications of those smart phones as well as for filter tuning. The strategy of integration is Loosely Coupled (LC) and Extended Kalman Filter (EKF). The Rauch-Tung-Striebel backward smoother is used to provide the smoothing solution. The Fast Fourier Transform (FFT) is used to analyze the characteristics of different platforms in frequency domains. Preliminary results presented in this study illustrate the possibility of pedestrian scenario for indoor navigation and mobile mapping with traditional INS mechanization. The control point update and spectrum analysis can consider as an effective way to improve the accuracy of position and orientation.