Cellular V2X

Cellular Vehicle-to-Everything (C-V2X) communication aims to enhance road safety and efficiency by enabling real-time data exchange between vehicles, infrastructure, and pedestrians. Current research focuses on improving cooperative perception through sensor fusion and multi-agent learning techniques, often employing deep reinforcement learning (DRL) for resource allocation and decision-making in dynamic environments, and addressing challenges like non-line-of-sight communication and data integrity. This work is significant for advancing autonomous driving capabilities and creating more intelligent transportation systems, with applications ranging from adaptive traffic control to accident prevention and improved fuel efficiency.