38 citations · 92 across the 16 of their papers we have counts for
8 papers · 1 filter
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L
Woong-Chan Byun, Dong-Hee Paek, Seung-Hyun Song +1
4D radar has attracted attention in autonomous driving due to its ability to enable robust 3D object detection even under adverse weather conditions. To practically deploy such tec…
Availability-aware Sensor Fusion via Unified Canonical Space
Dong-Hee Paek, Seung-Hyun Kong
Sensor fusion of camera, LiDAR, and 4-dimensional (4D) Radar has brought a significant performance improvement in autonomous driving. However, there still exist fundamental challen…
L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion
Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong
4-dimensional (4D) radar is increasingly adopted in autonomous driving for perception tasks, owing to its robustness under adverse weather conditions. To better utilize the spatial…
4DR P2T: 4D Radar Tensor Synthesis with Point Clouds
Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong
In four-dimensional (4D) Radar-based point cloud generation, clutter removal is commonly performed using the constant false alarm rate (CFAR) algorithm. However, CFAR may not fully…
Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar
Dong-In Kim, Dong-Hee Paek, Seung-Hyun Song +1
Accurate 3D multi-object tracking (MOT) is vital for autonomous vehicles, yet LiDAR and camera-based methods degrade in adverse weather. Meanwhile, Radar-based solutions remain rob…
Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor
Seung-Hyun Song, Dong-Hee Paek, Minh-Quan Dao +2
Recent advances in automotive four-dimensional (4D) Radar have enabled access to raw 4D Radar Tensor (4DRT), offering richer spatial and Doppler information than conventional point…
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
Dong-Hee Paek, Seung-Hyun Kong
Recently, 4D Radar has emerged as a crucial sensor for 3D object detection in autonomous vehicles, offering both stable perception in adverse weather and high-density point clouds…
Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo
Hee-Yang Jung, Dong-Hee Paek, Seung-Hyun Kong
Full-stack autonomous driving system spans diverse technological domains-including perception, planning, and control-that each require in-depth research. Moreover, validating such…