Contact Sukkeun Kim
Current activities
Sukkeun is currently a PhD research student in Aerospace at Cranfield University.
His research focuses on hybrid Bayesian estimation approaches with ML-driven methods and various nonlinear filtering techniques. He has published research in journals and conferences, contributing to multiple projects. His primary interests include signal processing, sensor fusion, space robotics and multi-target tracking.
Publications
Articles In Journals
- Kim S, Sun M, Petrunin I & Shin H-S. (2026). DBSCAN-based particle Gaussian mixture filters. Digital Signal Processing, 168
- Kim S, Petrunin I & Shin H-S. (2025). A review of Bayes filters with machine learning techniques and their applications. Information Fusion, 114
- Kim S, Petrunin I & Shin H-S. (2024). AFJPDA: a multiclass multi-object tracking with appearance feature-aided joint probabilistic data association. Journal of Aerospace Information Systems, 21(4)
- Kim S, Kim J, Park J & Lee D. (2021). Vision-Based Pose Estimation of Fixed-Wing Aircraft Using You Only Look Once and Perspective-n-Points. Journal of Aerospace Information Systems, 18(9)
- Kim S, Park J, Han D, Kim E & Lee D. (2021). Development of a Vision-Based Recognition and Position Measurement System for Cooperative Missions of Multiple Heterogeneous Unmanned Vehicles. International Journal of Aeronautical and Space Sciences, 22(2)
- Park J, Kim S, Noh G, Kim H, Lee D, .... (2021). Mission planning and performance verification of an unmanned surface vehicle using a genetic algorithm. International Journal of Naval Architecture and Ocean Engineering, 13
Conference Papers
- Kim S, Moon S, Petrunin I, Shin H-S & Khattak S. (2025). Autonomous robotic radio source localization via a novel Gaussian Mixture Filtering approach
- Kim S, Park O & Shin HS. (2024). A DESIGN OF VFR APPROACH AND DEPARTURE PROCEDURES OF UAM AT VERTIPORTS ADJACENT TO THE AIRPORT
- Kim S, Petrunin I & Shin H. (2022). A review of Kalman filter with artificial intelligence techniques