Research
Perception · Localization · Planning · Dataset · SensorFusion
Real-time VLM Optimization for E2E Autonomous Driving
Vision Language Action based E2E AD
Online Map Prediction
Planning, Perception
-HD Map construction-Real-time Mapping-End-to-End Framework
M2M Model for Urban Autonomous Driving
-Trajectory Planning-Mid2Mid Planning-Transformer
Polarization Camera based Road Surface Recognition
Perception, Data-driven AD
-Road Condition Estimation-Dataset generation-Polarization Image
Requirement Engineering for Autonomous Driving System
End-to-End Autonomous Driving
M2M RL Autonomous Driving
-Mid-to-Mid Planning-Imitation Learning-Reinforcement Learning
M2M Model based on Sampling Method
-Trajectory Planning-Mid-to-Mid Planning
Continual Learning for Imitation Learning
Trajectory Post-processing Development
Radar-Only Odometry using 4D Imaging Radar
-4D Imaging Radar-Radar Odometry-Voxel Map
SLAM, Perception
Mid-to-Mid Model Evaluation Platform
Development of Optimization Strategies for Implementing Driving Personalities in Autonomous Vehicle Motion Control
Autonomous Driving in Off-Road Environment
Open Multi-Middleware SW Platform for Autonomous Driving
Digital twin-based vehicle controller development and evaluation
Vehicle control, MPC, Digital twin
Auto-tuning for autonomous vehicle controller
Controller Tuning, Global Optimization, Model Predictive Control
Hybrid trajectory planning for autonomous racing
Planning, Autonomous Racing
Woodscape panoptic segmentation
Sensor Fusion, Multi-modality, Panoptic segmentation
Fisheye Camera Online Panoptic Segmentation