A low cost intelligent localization system based on a camera and an inertial measurement unit (IMU)

Abstract

This paper presents an alternative sensor fusion application in order to improve the accuracy on systems that use strapdown type inertial navigation. A neuro-fuzzy approach is shown, where the information captured by a camera is fused with the values obtained from a low cost inertial measurement unit. Several experimental trials have been conducted with real data, where satisfactory results have been achieved.