Consistency-Guided Fusion of Asymmetric Quantitative and Qualitative Sensor Information for Urban 3D Localization in Vehicular IoT Systems
High-precision urban 3D localization is a critical foundation for vehicular Internet of Things (IoT) applications, yet conventional Global Navigation Satellite System (GNSS)-based localization is vulnerable to signal obstruction, multipath effects, and non-line-of-sight propagation in complex environments. To improve l...