D4 Published development or research report or study
Map Matching by Using Inertial Sensors – Literature Review




Subtitle: Literature Review
List of Authors: Mika Kaustinen, Mika Taskinen, Tero Säntti, Jukka Arvo, Teijo Lehtonen
Publication year: 2015

Abstract


This literature review aims to clarify what is known about map matching by

using inertial sensors and what are the requirements for map matching, inertial

sensors, placement and possible complementary position technology. The target

is to develop a wearable location system that can position itself within a complex

construction environment automatically with the aid of an accurate building model.

The wearable location system should work on a tablet computer which is running

an augmented reality (AR) solution and is capable of track and visualize 3D-CAD

models in real environment. The wearable location system is needed to support the

system in initialization of the accurate camera pose calculation and automatically

finding the right location in the 3D-CAD model. One type of sensor which does seem

applicable to people tracking is inertial measurement unit (IMU). The IMU sensors

in aerospace applications, based on laser based gyroscopes, are big but provide a

very accurate position estimation with a limited drift. Small and light units such

as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very

popular, but they have a signicant bias and therefore suffer from large drifts and

require method for calibration like map matching. The system requires very little

fixed infrastructure, the monetary cost is proportional to the number of users, rather

than to the coverage area as is the case for traditional absolute indoor location

systems.



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Last updated on 2019-20-07 at 15:58