38 citations · 61 across the 5 of their papers we have counts for
6 papers
Reference-Filter-Driven Transition Probabilities for IMM-Based Satellite Maneuver Detection
Euiseok Han, Sangheon Choi, Seung-Hyun Kong
Maneuver detection of non-cooperative satellites is an essential task of space situational awareness. The interacting multiple model (IMM) filter has been applied to detect unannou…
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection
Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya
Recent works have shown the superior robustness of four-dimensional (4D) Radar-based three-dimensional (3D) object detection in adverse weather conditions. However, processing 4D R…
Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement
Dong-Hee Paek, Kevin Tirta Wijaya, Seung-Hyun Kong
Lane detection is one of the most important functions for autonomous driving. In recent years, deep learning-based lane detection networks with RGB camera images have shown promisi…
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya
Unlike RGB cameras that use visible light bands (384769 THz) and Lidars that use infrared bands (361331 THz), Radars use relatively longer wavelength radio bands (77$\s…
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong
Existing point cloud feature learning networks often incorporate sequences of sampling, neighborhood grouping, neighborhood-wise feature learning, and feature aggregation to learn…
Least-squares based iterative multipath super-resolution technique
Wooseok Nam, Seung-Hyun Kong
In this paper, we study the problem of multipath channel estimation for direct sequence spread spectrum signals. To resolve multipath components arriving within a short interval, w…