Haewoon Nam

Papers

Total Citations

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About

Haewoon Nam is a researcher advancing the frontiers of autonomous systems and intelligent transportation. His work centers on path planning optimization and the integration of autonomous vehicle technologies, addressing critical challenges in robotics and smart mobility. Nam’s most impactful contribution is his development of a fast-converging, distance-dependent Particle Swarm Optimization (PSO) algorithm for smart vehicle path planning, published in 2024 and garnering 24 citations. This work improves upon traditional PSO’s efficiency, offering a practical solution for real-time navigation in complex environments. He also proposed an integrated framework for autonomous vehicles that combines traffic sign recognition with lateral and longitudinal control in a simulated environment (2020), providing a holistic platform for research and development. Though early in its citation history, this framework lays essential groundwork for bridging simulation and real-world deployment. Nam’s research is notable for its focus on algorithmic innovation and system-level integration, making significant strides toward safer, more efficient autonomous transportation. His contributions are particularly valuable for students and researchers exploring optimization techniques and simulation-based autonomous vehicle design.