A 5G-V2X and vehicle-road-cloud collaborative system for intelligent connected vehicles: architecture, algorithm, and experimental verification
A hierarchical architecture model and fusion perception algorithm based on 5G-V2X, and a multivariate data fusion method combining Kalman filter and attention mechanism neural network are proposed, which significantly improves the environmental perception and collaborative decision-making ability of vehicles.