Map Matching by Using Inertial Sensors – Literature Review

Abstract

<p> This literature review aims to clarify what is known about map matching by<br /> using inertial sensors and what are the requirements for map matching, inertial<br /> sensors, placement and possible complementary position technology. The target<br /> is to develop a wearable location system that can position itself within a complex<br /> construction environment automatically with the aid of an accurate building model.<br /> The wearable location system should work on a tablet computer which is running<br /> an augmented reality (AR) solution and is capable of track and visualize 3D-CAD<br /> models in real environment. The wearable location system is needed to support the<br /> system in initialization of the accurate camera pose calculation and automatically<br /> finding the right location in the 3D-CAD model. One type of sensor which does seem<br /> applicable to people tracking is inertial measurement unit (IMU). The IMU sensors<br /> in aerospace applications, based on laser based gyroscopes, are big but provide a<br /> very accurate position estimation with a limited drift. Small and light units such<br /> as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very<br /> popular, but they have a signicant bias and therefore suffer from large drifts and<br /> require method for calibration like map matching. The system requires very little<br /> fixed infrastructure, the monetary cost is proportional to the number of users, rather<br /> than to the coverage area as is the case for traditional absolute indoor location<br /> systems.</p>