Dong-Hee Paek

According to our database, Dong-Hee Paek authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Survey on Deep Learning-Based Lane Detection Algorithms for Camera and LiDAR.

Min-Hyeok Sun, Seung-Hyun Kong, Dong-Hee Paek

IEEE Trans. Intell. Transp. Syst., June, 2025

Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L.

Woong-Chan Byun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong

CoRR, May, 2025

Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera.

Dong-Hee Paek, Seung-Hyun Kong

CoRR, March, 2025

4D Radar Ground Truth Augmentation with LiDAR-to-4D Radar Data Synthesis.

Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong

CoRR, March, 2025

RTNH+: Enhanced 4D Radar Object Detection Network Using Two-Level Preprocessing and Vertical Encoding.

Seung-Hyun Kong, Dong-Hee Paek, Sangyeong Lee

IEEE Trans. Intell. Veh., February, 2025

A Novel Multi-Teacher Knowledge Distillation for Real-Time Object Detection using 4D Radar.

Seung-Hyun Song, Dong-Hee Paek, Minh-Quan Dao, Ezio Malis, Seung-Hyun Kong

CoRR, February, 2025

4DR P2T: 4D Radar Tensor Synthesis with Point Clouds.

Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong

CoRR, February, 2025

Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar.

Dong-In Kim, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong

CoRR, February, 2025

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection.

Dong-Hee Paek, Seung-Hyun Kong

CoRR, February, 2025

Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo.

Hee-Yang Jung, Dong-Hee Paek, Seung-Hyun Kong

CoRR, January, 2025

SwiftPCN: Fast, implementation-efficient, and accurate point cloud completion network with flexible output resolution.

Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong

Neurocomputing, 2025

2024

BOC-FPDNet: BOC First Arrival Path Detection in Multipath Channel for GNSS Positioning.

Sang Jae Cho, Dong-Hee Paek, Hong-Woo Seok, Seung-Hyun Kong

IEEE Trans. Intell. Veh., September, 2024

Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling.

Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong

Remote. Sens., June, 2024

See the Unseen: Grid-Wise Drivable Area Detection Dataset and Network Using LiDAR.

Christofel Rio Goenawan, Dong-Hee Paek, Seung-Hyun Kong

Remote. Sens., 2024

Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network.

Min-Hyeok Sun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding.

Seung-Hyun Kong, Dong-Hee Paek, Sang Jae Cho

CoRR, 2023

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

K-Radar: 4D Radar Object Detection Dataset and Benchmark for Autonomous Driving in Various Weather Conditions.

Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

CoRR, 2022

K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions.

Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement.

Dong-Hee Paek, Kevin Tirta Wijaya, Seung-Hyun Kong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multiview Attention for 3D Object Detection in Lidar Point Cloud.

Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong

Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways.

Dong-Hee Paek, Seung-Hyung Kong, Kevin Tirta Wijaya

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Mixer-based lidar lane detection network and dataset for urban roads.

Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

CoRR, 2021

Enhanced Off-Policy Reinforcement Learning With Focused Experience Replay.

Seung-Hyun Kong, I Made Aswin Nahrendra, Dong-Hee Paek

IEEE Access, 2021