GNSS trajectory anomaly detection using similarity comparison methods for pedestrian navigation
(2018)
Journal Article
Peltola, P., Xiao, J., Moore, T., Jiménez, A., & Seco, F. (2018). GNSS trajectory anomaly detection using similarity comparison methods for pedestrian navigation. Sensors, 18(9), Article 3165. https://doi.org/10.3390/s18093165
The urban setting is a challenging environment for GNSS receivers. Multipath and other anomalies typically increase the positioning error of the receiver. Moreover, the error estimate of the position is often unreliable. In this study, we detect GNSS... Read More about GNSS trajectory anomaly detection using similarity comparison methods for pedestrian navigation.