@article{Chrzan_2025,
	author = {Chrzan, Marcin},
	title = {The Use of Artificial Intelligence in Enhancing Navigation Safety in Case of GNSS Signal Fading or Interference},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {19},
	number = {2},
	pages = {589-597},
	year = {2025},
	url = {./Article_The_Use_of_Artificial_Intelligence_Chrzan,74,1541.html},
	abstract = {Global Navigation Satellite Systems (GNSS) play a key role in modern navigation and transportation service delivery. Today it is difficult to imagine the daily operation of land, sea or air transportation without the positioning and timing provided by satellite systems [6, 8, 11]. In civil aviation, GNSS provides precision landing approaches and support for safety systems, in maritime navigation it enables open sea course determination and maneuvering, and on land it directs vehicle navigation and synchronization of telecommunications networks. Many of these applications are so-called PNT (Positioning, Navigation and Timing) systems, where uninterrupted and accurate position and timing information is critical to safe operations [8]. Unfortunately, satellite systems have recently become the target of hacking attacks. This paper will present AI methods for detecting GNSS anomalies, the role of inertial systems as an independent navigation source, and position correction techniques (e.g., using Kalman filters) supported by intelligent algorithms. An overview of current research and experiments in this field will also be presented, as well as conclusions on the effectiveness and development prospects of the technologies discussed.},
	doi = {10.12716/1001.19.02.31},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Global Positioning System (GPS), GLONASS, Galileo, BeiDou, GNSS, Spoofing, Jamming, Satellite Navigation Security}
}