5G-Enabled V2V Communication for Real-Time ADAS with High-Precision UWB-GPS Localization

Abstract

Modern ADAS systems often struggle with delayed hazard detection and localization on certain road conditions. These issues contribute towards an increase in traffic congestion and higher risk in driving environments. The challenges persist due to limited sensor reliability and also lack of comprehensive inter-vehicle awareness. This paper focuses on the 5G enabled vehicle-to-vehicle communication framework built over localized ADAS. This framework enhances cooperative driving using advanced sensor fusion and secure low latency messaging protocols. The system improves situational awareness and enables proactive collision avoidance by integrating UWB, GPS and machine learning based perception techniques. This advances smart city mobility by enabling cooperative awareness in dense urban traffic via 5G networks for intelligent transportation. Extensive simulation results validate this system's effectiveness and robustness across multiple safety critical driving scenarios.