Author

Dong-Hee Paek

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Preprint Sep 2026

Accuracy- and Real-Time-Aware 4D Radar Preprocessing for Autonomous Driving Perception Systems

4D radar has emerged as a promising next-generation sensor for improving the robustness of autonomous driving perception systems because of its stable sensing capability under adverse weather conditions. However, deploying 4D radar in embedded environments with limited hardware resources requires radar-representation p...

Woo-Jin Jung, Dong-Hee Paek, Jeongsu Park et al. · 0 citations

#artificial intelligence Preprint Sep 2026

IMM-based Multiple Object Tracking using a State Prediction Neural Network

Object tracking is essential for autonomous vehicles to avoid obstacles and plan routes. Radar maintains detection performance even in adverse weather and can measure relative velocity through the Doppler effect, making it well suited for object tracking. In this paper, we propose a data-driven state PRedictor-based In...

Chan-Bin Lim, Dong-Hee Paek, Seung-Hyun Kong · 0 citations

Preprint Sep 2026

Stereo 4D Radar for 3D Object Detection: Integrating Geometric Alignment and Absolute Velocity Estimation

A stereo 4D Radar-based 3D object detection framework that exploits the geometric disparity between left and right Radars to estimate the absolute velocity of objects and achieve more robust perception through the fusion of their complementary features is introduced.

Seung-Hyun Song, Dong-Hee Paek, Woong-Chan Byun et al. · 0 citations