A type-2 Fuzzy Logic based System for asset geolocation within augmented reality environments
Anasol Peña-Ríos, Hani Hagras, Michael Gardner, Gilbert Owusu · 2017
This paper presents a type-2 Fuzzy Logic System (FLS) to support technical employees in finding company's assets in outdoor settings. The system provides the user with directions for asset location by comparing his/her current position with assets' location in real-time, giving auditory and visual feedback via a Head Mounted Display (HMD). We carried out 35 path explorations in a predefined area to test the system. The results indicated that the proposed type-2 fuzzy logic produces better performance than the type-1 based fuzzy system, giving more precise indications to reach asset's position.