Jan 8, 2019 · Vehicle-to-everything (V2X) system together with AI can acquire the information from diverse sources, can expand the driver's perception, and can predict to avoid potential accidents, thus enhancing the comfort, safety, and efficiency of the driving.

Feb 1, 2023 · Communications among vehicles, infrastructure and road users, collectively defined as Vehicle-to-Everything (V2X), are essential in realizing safety and non-safety-related applications, such as autonomous driving, car platooning, information sharing among vehicles and high data-rate infotainment.

Jan 1, 2024 · Advanced communication systems, such as V2X, enable real-time information sharing among road users, maximizing safety for all, including VRUs. Development of efficient V2X communication protocols, like C-V2X, and integration of LiDARs, radars, and cameras contribute to VRU safety.

Aug 17, 2024 · V2X-VLM is designed to enhance situational awareness, decision-making, and ultimate trajectory planning by integrating multimodel data from vehicle-mounted cameras, infrastructure sensors, and textual information.

2 days ago · By 2030, V2X technology, empowered by Edge AI, will renovate urban mobility, prevent countless accidents, and reshape how we navigate the world. But innovation alone is not enough. This alteration demands collaboration. Governments must accelerate investment in smart infrastructure, automakers must embed V2X capabilities into their fleets, and ...

Oct 1, 2023 · Establishing rapid and reliable Vehicle-to-Everything (V2X) connections between several different cars and smart devices are another challenge. This research suggests unique method for autonomous vehicle communication that combines an ensemble of machine learning approaches with sliding window-based fourier transform signal processing.

Mar 20, 2022 · In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present a robust cooperative perception framework with V2X communication using a …

Mar 4, 2025 · By integrating LLM-driven reasoning with V2X data within the data pipeline, the V2X-LLM framework offers real-time feedback and decision support for traffic management. This integration enhances the accuracy of traffic analysis, safety, and traffic optimization.

V2X-Sim, short for vehicle-to-everything simulation, is the first synthetic V2X-aided collaborative perception dataset in autonomous driving developed by AI4CE Lab at NYU and MediaBrain Group at SJTU to stimulate multi-agent multi-modality multi-task perception research.

Mar 12, 2025 · This survey systematically reviews existing research at the intersection of AI/ML and V2X communications, focusing on handover management, proactive caching, physical and computation resources ...