In urban environments, Global Navigation Satellite Systems (GNSS) often struggle with signal obstructions caused by tall buildings, vehicles, and other structures. These obstacles lead to Non-Line-of-Sight (NLOS) errors that cause positioning inaccuracies, which are particularly problematic for technologies like autonomous vehicles and intelligent transportation systems.
AI identifies non-line-of-sight errors in global navigation satellite systems
