| Titel | BA | SA | MA | HW | exp | the | kon | Eintrag |
|---|---|---|---|---|---|---|---|---|
| Spatiotemporal Reasoning of Autonomous Driving Disengagements using Vision-Language Models | 2026-06-03 | |||||||
| Foundation Model-Assisted Auto-Labeling Pipeline for Front-View Parking Slot Detection | 2026-06-03 | |||||||
| Foundation-Model-Assisted 3D Auto-Labeling Pipeline for Missed and Unknown Objects in Autonomous Driving | 2026-06-03 |
Hojun Lim, M.Sc.
| hojun.lim@tum.de | |
| Raum | MW 3508 |
| Telefon | +49.89.289.10495 |
| Fax | +49.89.289.15357 |
Student Projects
Other Publication
H. Lim, J. Cha, H. Jeon, S. Gu, H. Yoo, “Sensor-aware Offline Synthetic-to-Real Adaptation for Multimodal Driving Datasets: Shape Preserved, Signal Improved” in IEEE Intelligent Vehicles Symposium (IV) 2025, doi:10.1109/IV64158.2025.11097457
H. Lim*, H. Yoo*, J. Lee, S. Jeon, H. Jeon, “MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain” in IEEE International Conference on Robotics and Automation (ICRA) 2025, doi:10.1109/ICRA55743.2025.11127978
H. Lim* H. Yoo*, J. Lee, I. Choi, J. Jung, “MORGEN: Scenario-Based Virtual Data Generator Mitigating Edge-Case Data Deficit in Autonomous Driving” in ITS World Congress (ITSWC) 2024