On the Impact of Measurements on Location Estimation Using Sensors Fusion

This paper investigates the impact of measurements availability on the accuracy of position prediction using a mobile device equipped with GPS, acceleration, and gyro sensors. The paper also discusses the effects of the sampling factor for the available data. The experiment results emphasize the importance of sampling factor in achieving robust and reliable location estimation, particularly in challenging environments where GPS signals may be intermittent or compromised. The insights gained from this study may contribute to the advancement of location estimation-based applications, fostering improved autonomous systems in real-world scenarios.