Low-Cost Optical Indoor Localization System for Mobile Objects without Image Processing

Abstract

While being very successful in everyday life, GPS-based localization systems exhibit limited performance under trees, behind walls, and in closed rooms, and sometimes induce costs that are way too high to be acceptable for some applications. This paper addresses these problems by exploring an alternative localization system, which is based on image processing and does most of the processing in analog. Because of its low-cost and low-energy properties, this system might also be interesting for other application areas, such as sensor networks.