TRACKINDOORS: REAL-TIME INFRASTRUCTURE-LESS INDOOR TRACKING USING HYBRID APPROACH

Abstract

The ability to locate and track humans or objects indoors and outdoors is becoming increasingly important in today’s world of applications. The positioning accuracy and reliability outdoors is well handled by the Global positioning system (GPS). However, GPS has very low accuracy in the indoor environments due to obstruction in the line of sight of the satellites. In this thesis a real-time hybrid approach is proposed to locate and track people indoors. The main objective of this thesis is to design and develop a hybrid indoor tracking system called TrackIndoors. Our hybrid approach uses Wi-Fi and smart-phone sensors together to track and locate the position of people in the indoor environments. A real-time android application is developed and it consists of three components: trilateration, fingerprinting and sensor fusion. Results of our hybrid approach shows that the system is able to locate and track a person with high-precision and low cost.