Blog

We are pleased to announce that Dr. Alex ORSHOLITS presented his poster titled “Edge Vision AI Co-Processing for Dynamic Context Awareness in Mixed Reality” at the IEEE VR 2025 conference in Saint-Malo, France. This research demonstrates a scalable approach to improving spatial computing and dynamic environmental awareness in Mixed Reality by leveraging edge-based AI co-processing with low-power hardware accelerator and the Magic Leap 2 headset The presented system simultaneously ran five vision AI models (YOLOv8s, CenterPose, FastDepth, SCRFD, and ArcFace) at 30 frames per second, streaming and displaying detection results on a Magic Leap 2 headset in real-time and with minimal latency. This poster was awarded an Honorable Mention, oneRead more

We are pleased to announce that Yun Li, a second-year doctoral student, and Yuze Jiang, a first-year doctoral student, represented Tsukada Lab at the IEEE ITSC 2024 conference, held in Edmonton, Canada, from September 24 to 27, 2024. The 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024) serves as the flagship event of the IEEE Intelligent Transportation Systems Society (ITSS), gathering researchers from around the globe to share advancements in the field of Intelligent Transportation Systems (ITS). Yun Li’s Presentation: Yun Li presented a paper titled “Large Language Models for Human-like Autonomous Driving Decision Making: A Survey.” This research emphasizes the potential of Large Language Models (LLMs)Read 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

We are excited to share that Vishal Chauhan, a Doctoral student (D1), recently presented his research at the prestigious Auto-UI 2024 conference. The presentation, titled “Transforming Pedestrian and Autonomous Vehicles Interactions in Shared Spaces: A Think-Tank Study on Exploring Human-Centric Designs,” explored innovative solutions for enhancing pedestrian and autonomous vehicle (AV) interactions using Smart Pole Interaction Units (SPIU) and external human-machine interfaces (eHMIs). The study involved 25 participants who brainstormed design solutions to improve the effectiveness, simplicity, visibility, and clarity of pedestrian-AV interactions. Key findings highlighted the preference for real-time interaction through SPIUs over eHMIs on AVs in various scenarios. However, the combined use of both SPIUs and eHMIs proved crucial for building trust in autonomous decision-making.Read more

From August 12 to August 14, 2024, Dr. Alex Orsholits and Tokio Takada, M1, participated in the 2nd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom 2024) in Hong Kong. The conference brought together researchers and professionals to share the latest progress in computing, networking, and applications for the Metaverse. It provided a valuable platform for exchanging ideas and exploring future directions in this rapidly evolving field. Dr. Alex Orsholits presented the paper titled PLATONE: An Immersive Geospatial Audio Spatialization Platform, focusing on the integration of spatial audio in urban environments through mixed reality (MR). His research explored the use of city-scale 3D geometry for audio spatializationRead more

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