V2X Communication

Vehicle-to-Everything (V2X) communication aims to enhance road safety and efficiency by enabling real-time data exchange between vehicles, infrastructure, and other road users. Current research emphasizes improving the accuracy and reliability of V2X data integration into autonomous driving systems, focusing on techniques like deep reinforcement learning for resource allocation and end-to-end learning frameworks that fuse data from multiple sources, including vision transformers and graph neural networks. This work is significant because it addresses critical challenges in autonomous driving, such as perception in challenging environments and robust communication in dynamic networks, paving the way for safer and more efficient transportation systems.