| Summary: | 碩士 === 國立高雄海洋科技大學 === 海事資訊科技研究所 === 106 === With the rapid development of the Internet, various Location-Based Services (LBS) have been integrated into daily life. And, on the other hand, the application of localization and navigation of Global Positioning System (GPS) has entered a period of vigorous development. Nowadays, most LBS systems are still based on GPS technology. However, restricted to indoor environments, satellite signal of GPS is easily blocked, which makes the range error of GPS reach to 5-10 meters. In other words, the indoor performance of GPS has room for improvement.
In this study, the low-cost inertial measurement component (IMU) and pedestrian dead reckoning (PDR) algorithm are used to carry out the positioning and trajectory calculation of the pedestrian. Based on the measured values of the three-axis accelerometer and the gyroscope on the smart phone, the number of steps, the orientation and the walking trajectory can be calculated. Since the IMU components have drift and noise according to the temperature or the length of measurement time, it must be updated and de-noised with the PDR system at the stationary state. Combining the IMU components and the PDR method, the experimental result shows that the pedestrian's position information can be approximately calculated with some noise.
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