IRCV

Advancing Intelligent Perception for Autonomous Systems

At the IRCV Lab, we are dedicated to pioneering research in perception, sensor fusion, and data-centric AI for autonomous driving. Our mission is to develop robust, real-world AI-driven solutions that enhance the safety and efficiency of autonomous vehicles and intelligent systems.

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AI and Robotics

Innovation at the Intersection of Machine Learning and Robotics

Through cutting-edge research in object detection, semantic segmentation, and autonomous navigation, we aim to create AI-powered systems that operate seamlessly in urban landscapes, ensuring efficiency, reliability, and human-centered interactions.

Smart Mobility

Bridging AI and Robotics for Safe Navigation

We specialize in 3D scene understanding, trajectory prediction, and adaptive sensor fusion to enable intelligent decision-making in complex environments. By integrating multi-modal sensor data from RGB cameras, thermal imaging, and LiDAR, we push the boundaries of next-generation autonomous mobility.

Data-Centric

Data-Centric AI for Reliable Autonomous Driving

Our lab focuses on dataset distillation, parameterization, and deep learning-driven perception to enhance AI’s generalization across diverse and challenging scenarios. We develop novel learning frameworks to improve autonomous vehicle perception and planning in dynamic environments.

We are currently seeking motivated graduate students to join our collaborative research efforts in this exciting field!

Our lab is affiliated with the Department of Automotive Engineering at Hanyang University.