ACTiVE (Autonomous and ConnecTed VEhicles) Lab conducts research on autonomous driving, vehicle connectivity, and embedded real-time systems and networks. With more than twenty years of experience, we design deterministic and fault-tolerant communication systems such as CAN, CAN-FD, CAN XL, FlexRay, and AFDX, and develop methods for worst-case response time analysis, scheduling, synchronization, and security in distributed embedded systems. Our research further extends to the development and deployment of autonomous driving functions, including HD map generation, trajectory planning, trajectory tracking, and cooperative maneuvers such as lane-change coordination and platooning. By integrating communication, control, and formal verification, ACTiVE aims to establish a unified and deterministic framework that enables reliable, time-predictable operation from in-vehicle networks to connected mobility and intelligent transportation systems across road and air domains.
OPINA – Project Overview and Autonomous Driving Test Vehicle Videos
In the OPINA project, I was responsible for the development, simulation, integration, and testing of autonomous driving software within an open innovation framework for system-level validation. My work included the design of ROS 2-based sensor drivers, the implementation of perception, planning, and control modules, and the creation of a complete MIL/SIL/HIL/DIL testing pipeline ensuring compliance with NCAP and ISO standards. The framework was validated through real-world driving tests with a prototype autonomous vehicle, featuring an Autonomous Emergency Braking (AEB) function as a representative application. This work strengthened my expertise in software–hardware integration, safety-critical system design, and end-to-end validation of Level 4 autonomous driving systems.