From January 2021, Associate Professor Tsukada joins the Dynamic Map 2.0 consortium, concurrently serving as Designated Associate professor at Center for Embedded Computing Systems, Graduate School of Informatics, Nagoya University.
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From January 2021, Associate Professor Tsukada joins the Dynamic Map 2.0 consortium, concurrently serving as Designated Associate professor at Center for Embedded Computing Systems, Graduate School of Informatics, Nagoya University.
We’re thrilled to share the exciting news that two of our research submissions have been accepted for presentation at the upcoming ACM CHI conference on Human Factors in Computing Systems 2026. This prestigious event will take place in Barcelona, Spain, around April 13th, 2026. Furthermore, we are incredibly proud to announce that both of these papers have been honored with an Honourable Mention Award! This is a highly prestigious recognition granted to only the top 5% of all paper submissions, highlighting the exceptional quality of the research at the world’s premier conference on Human-Computer Interaction (HCI). This exciting event will take place in Barcelona, Spain, around April 13th, 2026. EachRead more
We are pleased to announce that two papers from Tsukada Laboratory have been accepted to the IEEE International Conference on Robotics and Automation 2026 (ICRA 2026). ICRA is one of the flagship international conferences in robotics and automation, and ICRA 2026 will be held in Vienna, Austria, from June 1 to 5, 2026. The first paper, “A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving,” presents a synthetic benchmark for collaborative 3D semantic occupancy prediction in autonomous driving. The work addresses the limitations of single-vehicle perception, such as occlusion, limited sensing range, and narrow viewpoints, by enabling collaborative perception through shared information among agents. The paperRead more
Tsukada Laboratory (T-Lab), The University of Tokyo, is pleased to announce the public release of the URT-Kashiwa Dataset, a novel driving dataset designed to support research on unprotected right turns, one of the most challenging maneuvers for autonomous vehicles. About the Dataset The URT-Kashiwa Dataset (Unprotected Right Turn, Kashiwa Campus) provides high-quality recordings of driving scenarios specifically focused on unprotected right turns—an essential case study for understanding decision-making in urban traffic. These scenarios are widely recognized as among the most difficult for autonomous driving systems to handle, given the need to negotiate with both oncoming vehicles and pedestrians. While unprotected left turns are a major focus in European traffic contexts,Read more
We’re thrilled to share the exciting news that we’re set to make a significant impact at the upcoming 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023). Five of our research submissions have been accepted for presentation at this prestigious event, taking place from 24th to 28th September in Bilbao, Spain. ITSC, sponsored by the IEEE Intelligent Transportation Systems Society, is an annual flagship event that brings together scholars, industry experts, and enthusiasts from around the world. The conference serves as a platform for presenting new developments in theory, analytical and numerical simulation and modeling, experimentation, advanced deployment, and case studies in the Intelligent Transportation Systems (ITS) domain. EachRead more
