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We are pleased to report on our participation in the 35th IEEE Intelligent Vehicles Symposium (IEEE IV 2024), held at Jeju Shinhwa World, Jeju Island, Korea, from June 2-5, 2024. This prestigious conference, sponsored by the IEEE Intelligent Transportation Systems Society (ITSS), brought together researchers, engineers, practitioners, and students from various sectors to discuss the latest advancements in intelligent vehicles and vehicle-infrastructure cooperation. Our laboratory was represented by Prof. Manabu Tsukada and Dr. Tao Ye presented his paper titled “Zero-Knowledge Proof of Distinct Identity: A Standard-Compatible Sybil-Resistant Pseudonym Extension for C-ITS.” The paper addresses the challenge of Sybil attacks in Cooperative Intelligent Transport Systems (C-ITS) by proposing a novel protocolRead more

Associate Prof. Manabu Tsukada recently participated in the prestigious IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2023) held in Kyoto, Japan from June 26-28, 2023. This conference served as a pivotal platform for discussing the integration of physical and cyber worlds, essential for developing the Metaverse. The conference emphasized the transformative potential of the Metaverse in various sectors, including industry, finance, healthcare, smart cities, entertainment, education, and agriculture. It highlighted the challenges and opportunities in areas such as human-machine interfaces, ultra-low latency, resource demands, reliability, and trustworthiness. Prof. Tsukada presented a paper titled “Semantic Digital Twin for interoperability and comprehensive management of data assets.” The paperRead more

June 2024, Pengfei Lin, a D3 student from our laboratory, had the opportunity to present his research at the 35th IEEE Intelligent Vehicles Symposium (IV 2023), held in Anchorage, Alaska, USA. The conference, renowned for gathering experts from academia, industry, and government agencies, focuses on the latest advancements in Intelligent Vehicles and Infrastructure, providing a significant platform for sharing new ideas and technological breakthroughs. Pengfei presented his paper titled “Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles.” His research, aiming to enhance the safety of autonomous vehicle lane-changing maneuvers, has shown promising results, reducing the length and curvature of lane change trajectories significantly, ensuring smootherRead more