Aesthetic marker decoding system for indoor robot navigation

Abstract

We spend more than 80% of our lives indoors. Future indoor robot navigation is based on intelligent systems that provide accurate and smart information. In this paper we introduce a novel Aesthetic Marker decoding system, which finds and decodes machine readable visual markers inside buildings. Focused on seamless integration of visual code into our everyday human environment, our application has custom developed algorithms and functions that handle aesthetic marker data. As a result, image processing time was reduced and extracted information was maximized to calculate accurate robot position. A new Aesthetic Marker decoding method was created connecting the digital and physical world.