Associate Professor, Department of AI-Software, Gachon University (Mar. 2022 – present) Director, VIP-LAB — Vehicle Intelligence & Perception Laboratory · @ORG_NAME
Ground-to-Air Robust Robot Vision — perception that keeps working off-road, in adverse weather, and from the air.
- Multi-sensor fusion — LiDAR × Camera × Radar × Thermal (EO/IR)
- 3D perception — object detection & tracking, semantic segmentation, depth completion, traversability estimation
- Robust perception in the wild — off-road / unstructured terrain, adverse weather, domain adaptation
- Efficient deep learning — knowledge distillation, pruning, NAS, quantization for on-device & edge AI
- Physical AI — perception–action models for ground vehicles, UAVs, and field robots
Low-end 3D LiDAR perception → Multi-sensor fusion & deep learning → Ground-to-Air Robust Robot Vision
| 2022 – present | Associate Professor, Dept. of AI-Software, Gachon University |
| 2020 – 2022 | Senior Researcher, Agency for Defense Development (ADD) — Unmanned Ground System PMO Team 1 |
| 2013 – 2020 | Ph.D., Electrical & Electronic Engineering, Yonsei University (Computational Intelligence Lab, advisor: Prof. Euntai Kim) |
| 2008 – 2012 | B.S., Electrical & Electronic Engineering, Yonsei University |
Teaching — Deep Learning · Data Structures · Probabilistic Robotics Editorial / Review — Editor, Journal of KIIS · Reviewer for IEEE T-VT, IV, ITSC, IJCAS · Guest Editor, Applied Sciences (Special Issue on detection & tracking for autonomous driving)
Corresponding author on all VIP-LAB publications (2022–present).
Journals
- S. Choi, J. An, "A Cross-Scale Decoder with Token Refinement for Off-Road Semantic Segmentation," Applied Sciences, 2026.
- N. Kim, S. Choi, S. Choi, Y. Lee, Y. Cheong, J. An, "GPT-4off: On-Board Traversability Probability Estimation for Off-Road Driving via GPT Knowledge Distillation," Applied Sciences, 2025.
- Y. Lee, J. Kim, J. Cho, J. An, "Improving Visual Pedestrian Attributes Discernment With Textual Reconstruction," IEEE Access, 2024.
- N. Kim, J. An, "Knowledge Distillation for Traversable Region Detection of LiDAR Scan in Off-Road Environments," Sensors, 2023.
- W. Jang, J. Hyun, J. An, M. Cho, E. Kim, "A Lane-level Road Marking Map using a Monocular Camera," IEEE/CAA Journal of Automatica Sinica, 2022.
- J. An, E. Kim, "Novel Vehicle Bounding Box Tracking Using a Low-End 3D Laser Scanner," IEEE Trans. on Intelligent Transportation Systems (T-ITS), 2021.
- J. An, B. Choi, H. Kim, E. Kim, "A New Contour-Based Approach to Moving Object Detection and Tracking Using a Low-end 3D Laser Scanner," IEEE Trans. on Vehicular Technology (T-VT), 2019.
Conferences
- Y. Cheong, J. An, "Source-Only Cross-Weather LiDAR via Geometry-Aware Point Drop," ICRA 2026, Vienna.
- J. Cho, J. An, "OASIS-DC: Generalizable Depth Completion via Output-level Alignment of Sparse-Integrated Monocular Pseudo Depth," ICRA 2026, Vienna.
- W. Jang, J. An, S. Lee, M. Cho, M. Sun, E. Kim, "Road Lane Semantic Segmentation for High Definition Map," IEEE IV 2018.
- J. An, B. Choi, T. Hwang, E. Kim, "A Novel Rear-End Collision Warning System Using Neural Network Ensemble," IEEE IV 2016.
📚 Full list → Google Scholar · ORCID 🎥 Demo videos → VIP-LAB on YouTube
- EO/IR payload under 500 g for fixed-/rotary-wing UAVs — edge-optimized small-object detection for aerial scenes · EOST, 2025–2027
- Intelligent 3-axis stabilized EO/IR integrated system — robust small-object detection & tracking under platform motion · EOST, 2024–2028
- SDV-based automotive SW platform linked to an AI framework — pruning, distillation, NAS, and quantization for real-time on-device perception · IITP, 2024–2027
- Wide-area semantic mapping with multi-robot systems (open-field & wilderness) — 3D point-cloud semantic segmentation, crowdsourced map update & change detection · TIPA, 2025–2027
- AI for battlefield situation awareness — lightweight thermal object detection with dual-teacher (RGB–thermal) distillation and super-resolution on embedded boards · Hyundai Rotem, 2024–2026
Past industry & government partners: NRF · LIG Nex1 · Mobiltech · Neubility · Hyundai Motor Group · Hyundai Mobis · Hyundai NGV · Korea Railroad Research Institute
- Outstanding Research Award, ICROS 2020 (35th Annual Conference)
- US Patent US9827994 — Writing an occupancy grid map in a sensor-centered coordinate system using a laser scanner (2017), + 2 registered and 4 filed KR patents
Python C/C++ MATLAB PyTorch ROS
Open to collaboration on autonomous driving perception, robot vision, UAV / EO-IR systems, and industry–academia projects. 📮 jhonghyun@gachon.ac.kr · 📍 Seongnam, Republic of Korea 🔗 Lab homepage · YouTube · Google Scholar
🇰🇷 가천대학교 AI·소프트웨어학부 / VIP-LAB (차량지능 및 인지 연구실) — 대학원생·학부연구생 상시 모집 중입니다.