The International Conference on Intelligent Computing and its Emerging Applications (ICEA2024) was held at the University of Tokyo’s Komaba Campus from November 28 to 29, 2024. This conference gathered researchers from various fields to share and discuss the latest advancements in artificial intelligence, deep learning, and intelligent systems. Topics covered included supervised and unsupervised learning, cloud computing, GPU technologies, and applications in IoT, smart cities, and AR/VR. Two papers from Tsukada Lab received Best Paper Awards at the conference. The first paper, “Cross-Attention Enhanced Imitation Learning for End-to-end Autonomous Driving in Unprotected Turns,” authored by Dongyang Li, a second-year master’s student, proposed a novel imitation learning method to improve autonomousRead more

The 2024 Tsukada Lab CRONOS Symposium, funded by JST’s CRONOS program, served as a kickoff event for collaborative discussions on advancing communication platforms that integrate vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2X) systems with large language models (LLMs) and VR simulation technologies. This symposium, part of the project Evolutionary Communication Infrastructure Connecting Diverse Mobile Devices and Humans, aimed to foster dialogue among researchers and practitioners on developing efficient bidirectional interactions between humans and embodied AI. Keynote Presentations Manabu Tsukada (Associate Professor, The University of Tokyo) opened the symposium with a presentation on the development of adaptive communication platforms that connect diverse mobility systems with human-centric applications. Prof. Tsukada highlighted how next-generation communicationRead more

The ITSC2024 workshop, titled “Vision Language Model Based Human-Centered Autonomous Driving”, was organized by Tsukada lab’s Prof. Naren and Prof. Javanmardi, alongside Prof. Alexander Carballo (Gifu University), and Prof. Cristina Johannes (Johannes Kepler University Linz, Austria). The workshop explored the integration of vision language models (VLMs) into autonomous driving, with a focus on human factors in decision-making, safety, and interaction. The event featured five presentations, each covering unique aspects of human-centered autonomous driving technology. Summary of Presentations: Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework Presenter: Enrico Del Re, Research Assistant, Johannes Kepler University Linz Enrico discussed the use of real-world dataRead more

Our lab members participated in the ITS World Congress 2024, held from September 16 to 20 at the Dubai World Trade Center. This conference gathers experts from around the world to discuss advancements in intelligent transport systems (ITS). We moderated and presented the session “SIS 38: Rationale and Validation of Cooperative Perception Services for Connected & Automated Vehicles.” The session focused on the limitations of Level 3 and Level 4 automated vehicles, which rely on onboard sensors to detect surroundings. These vehicles struggle to detect objects in blind spots or beyond sensor range. To enhance safety, cooperative perception services using V2X communication were discussed. This technology allows sharing information fromRead more

We are delighted to announce that Ms. Chi Weiqi, a D1 student from our laboratory, received the IEEE VTS Tokyo/Japan Chapter Young Researcher’s Encouragement Award at the 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring) in Singapore. This conference, held from June 24-27, is a major event in wireless, mobile, and vehicular technology, bringing together experts from academia, industry, and government to share the latest advancements. Ms. Chi presented her paper titled “V2I Blockage Modeling and Performance Evaluation for Autonomous Driving.” Her research focuses on the challenges in vehicle-to-infrastructure (V2I) communication, particularly in the context of millimeter-wave (mmWave) technology. By using an RSU-assisted system, her study addresses blockages in multi-lane scenariosRead more