| 2026.07 |
 |
조찬미, 박태형 |
Real-Time object Detection with Low-Channel LiDAR-Camera Fusion For Structured Autonomous Driving |
ICROS 2026 |
|
pp.998-999 |
| 2026.06 |
 |
Geon-Woo Kim, Min-Seong Kim, Tae-Hyoung Park |
A Reinforcement Learning–Guided Switching Model Predictive Control System for Autonomous Head-to-Hea |
IV 2026 |
|
pp.1829-1834 |
| 2026.02 |
 |
Chan-Mi Jo, Tae-Hyoung Park |
Cascade Random Forest-based object Detection for Low-Channel LiDAR |
KRoC 2026 |
|
pp.782-783 |
| 2026.02 |
 |
Hyunji Oh, Taehyuong Park |
2D LiDAR Unseen Area Generation Method for Racing Environments |
KRoC 2026 |
|
pp.374-375 |
| 2026.01 |
 |
Min-Seon Chae, Tae-Hyoung Park |
A Deep Learning-based Anomaly Forecasting System of Time Series Sensor Data in Autonomous Vehicle |
SII2026 |
|
pp.1154-1158 |
| 2025.11 |
 |
Joo-Yeon Yeon, Tae-Hyoung Park |
Spatio-Temporal Fusion for Collision-Aware End-to-End Driving in Different Domains |
ICCAS 2025 |
|
pp.2093-2094 |
| 2025.11 |
 |
Do-Hyun Kwon, Tae-Hyoung Park |
De-Noise IMU Net for Dead-Reckoning in Autonomous Racing |
ICCAS 2025 |
|
pp.2091-2092 |
| 2025.11 |
 |
Geon-Woo Kim, Tae-Hyoung Park |
Switching Model Predictive Control for Head-to-Head Autonomous Racing |
ICCAS 2025 |
|
pp.2089-2090 |
| 2025.08 |
 |
Gi-Hwan Jo, Tae-Hyoung Park |
A Reinforcement Learning Module for Reducing Curve Trajectory Error in End-to-End Autonomous Driving |
ACDSA 2025 |
|
pp.2360-2365 |
| 2025.06 |
 |
이전혁, 연주연, 박 태 형 |
End-to-End Network for Autonomous Vehicles based on BEV Perception Module |
ICROS 2025 |
|
pp.15-20 |