About ADIR Team

ADIR focuses on robust machine intelligence for real-world autonomous driving systems. Our recent work spans trajectory prediction, local path generation, neural planning, and spatially consistent BEV scene understanding.

News

• [2026-02-21] One paper submitted to CVPR 2026 has been accepted.
• [2025-10-15] One paper submitted to Transactions of KSAE has been accepted.
• [2025-09-08] One paper submitted to ICTC 2025 has been accepted.
• [2025-04-22] Two papers submitted to ICACI 2025 have been accepted.
• [2024-07-29] One paper submitted to ICTC 2024 has been accepted.
• [2024-06-30] One paper submitted to IROS 2024 has been accepted as an oral paper.
• [2023-08-09] One paper submitted to ETRI Journal has been accepted.
• [2023-06-01] One paper submitted to ICIAS has been accepted.
• [2023-05-04] One paper submitted to Transactions of KSAE has been accepted.

Notice: We do not have plans to recruit students this year.

Research Highlights

We design data-driven planning and perception methods that generalize across diverse driving conditions.

Members

Principal Investigator

Students

Researchers

Alumni

Interns

Intern positions will be announced when openings become available.

Published Papers

* corresponding author

• CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird’s-Eye-View Semantic Segmentation
  J. Hong, D. Choi*, T. An, K. An, K. Min.
  CVPR 2026 [Accepted] [arXiv]
• Interaction Graph Pruning for Efficient and Robust Trajectory Prediction
  M. Rahman, J. Hong, D. Choi*, K. Min.
  Transactions of KSAE 2025 [Accepted]
• Regularizing Neural Networks for BEV Semantic Segmentation via Inter-class Hierarchy and Spatially-aware Weight Adjustment
  J. Hong*, D. Choi, M. Rahman, K. An, K.-W. Min.
  ICTC 2025
• Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models
  M. Rahman*, D. Choi, S.-I. Lee, K.-W. Min.
  ICACI 2025
• LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction
  M. Rahman*, D. Choi, K.-W. Min.
  ICACI 2025
• Insta-Track: Instance Segmentation Assisted Tracking by Detection
  J. Kang, D. Lee, J.-H. Park, T.-H. An, D. Choi, K.-W. Min, S. Lee.
  ICTC 2024
• Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding Images
  D. Choi*, J. Kang, T. An, K. An, K. Min.
  IROS (Oral) 2024 [arXiv] [Code]
• CRFNet: Context ReFinement Network for Semantic Segmentation
  T. An*, J. Kang, D. Choi, K. Min.
  ETRI Journal 2023
• Performance Comparison of SAC methods for Radar Dynamic Object Classification
  Y. S. Park, D. Choi, K. Min.
  IAS 2023
• Vehicle Trajectory Forecasting Network based on Static Scene Context Modulation for Autonomous Driving
  D. Choi*, K. Min.
  Transactions of KSAE 2023
• Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting
  D. Choi*, K. Min.
  ECCV 2022 [arXiv] [Code]
• PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
  D. Choi*, S.-J. Han, K. Min, J. Choi.
  ETRI Journal 2022 [Paper] [Code]
• Regularising Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning Framework
  D. Choi*, K. Min, J. Choi.
  IET Computer Vision 2020 [arXiv] [Code]
• SAE Level 3 Autonomous Driving Technology of the ETRI
  K. Min*, S.-J. Han, D.-J. Lee, D. Choi, K.-B. Sung, J. Choi.
  ICTC 2019
• Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning
  D. Choi*, T.-H. An, K. Ahn, J. Choi.
  ICMLA 2018 [Paper] [Code]
• Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars
  D. Choi*, T.-H. An, K. Ahn, J. Choi.
  arXiv 2018 [arXiv]
• Blind Deblurring using Coupled Convolutional Sparse Coding Regularisation for Noisy-Blurry Images
  T.-H. An*, D. Choi, S. Cho, K.-S. Hong, S. Lee.
  Electronics Letters 2018