GNSS Positioning

GNSS positioning aims to accurately determine a receiver's location using signals from Global Navigation Satellite Systems, a crucial technology with widespread applications. Current research focuses on improving accuracy and robustness in challenging environments like urban areas, employing techniques such as digital twin-aided corrections, graph neural networks for noise mitigation, and sensor fusion with IMUs and LiDAR using Kalman filters and factor graph optimization. These advancements enhance the precision and reliability of GNSS positioning, impacting diverse fields including autonomous driving, maritime navigation, and environmental monitoring through applications like precise fuel consumption estimation and improved trajectory prediction.