Simulation of Self-driving System by implementing Digital Twin with GTA5. - Heuijee Yun; Daejin Park (ICEIC, 2021)

Yolo-based Realtime Object Detection using Interleaved Redirection of Time-Multiplexed Streamline of Vision Snapshot for Lightweighted Embedded Processors. - Heuijee Yun; Daejin Park (ISPACS, 2021)

Mitigating Overflow of Object Detection Tasks Based on Masking Semantic Difference Region of Vision Snapshot for High Efficiency. - Heuijee Yun; Daejin Park (ICAIIC, 2022)

Efficient Object Detection Based on Masking Semantic Segmentation Region for Lightweight Embedded Processors. - Heuijee Yun; Daejin Park (Sensors, 2022)

FPGA Realization of Lane Detection Unit using Sliding-based Parallel-Segment Detection for Buffer Memory Reduction. - Heuijee Yun; Daejin Park (ICCE, 2023)

Dynamic MAC Unit Pruning Techniques in Runtime RTL Simulation for Area-Accuracy Efficient Implementation of Neural Network Accelerator. - Jisu Kwon; Heuijee Yun; Daejin Park (MWSCAS, 2023)

Parallel Processing of 3D Object Recognition by Fusion of 2D Images and LiDAR for Autonomous Driving. - Heuijee Yun; Daejin Park (ICEIC, 2024)

Deep Learning based Human Detection using Thermal-RGB Data Fusion for Safe Automotive Guided-Driving. - Heuijee Yun; Daejin Park (PerCom Workshops, 2024)

Low-Power Lane Detection Unit With Sliding-Based Parallel Segment Detection Accelerator for FPGA. - Heuijee Yun; Daejin Park (IEEE Access, 2024)

A Power-Efficient Reconfigurable Hybrid CNN-SNN Accelerator for High Performance AI Applications. - Heuijee Yun; Daejin Park (COOL CHIPS, 2025)

S3A-NPU: A High-Performance Hardware Accelerator for Spiking Self-Supervised Learning With Dynamic Adaptive Memory Optimization. - Heuijee Yun; Daejin Park (IEEE Trans. Very Large Scale Integr. Syst., 2025)