| Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter D Kim, K Min, H Kim, K Huh Mechanical Systems and Signal Processing 144, 106862, 2020 | 69 | 2020 |
| Deep Distributional Reinforcement Learning Based High-Level Driving Policy Determination K Min, H Kim, K Huh IEEE Transactions on Intelligent Vehicles 4 (3), 416-424, 2019 | 66 | 2019 |
| RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble K Min, D Kim, J Park, K Huh IEEE Transactions on Vehicular Technology 68 (10), 10252-10256, 2019 | 57 | 2019 |
| Deep q learning based high level driving policy determination K Min, H Kim, K Huh 2018 IEEE Intelligent Vehicles Symposium (IV), 226-231, 2018 | 52 | 2018 |
| Road surface classification using a deep ensemble network with sensor feature selection J Park, K Min, H Kim, W Lee, G Cho, K Huh Sensors 18 (12), 4342, 2018 | 36 | 2018 |
| Estimating the Maximum Road Friction Coefficient with Uncertainty Using Deep Learning S Song, K Min, J Park, H Kim, K Huh 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 24 | 2018 |
| Anomaly monitoring framework in lane detection with a generative adversarial network H Kim, J Park, K Min, K Huh IEEE Transactions on Intelligent Transportation Systems 22 (3), 1603-1615, 2020 | 18 | 2020 |
| Interaction Aware Trajectory Prediction of Surrounding Vehicles with Interaction Network and Deep Ensemble K Min, H Kim, J Park, D Kim, K Huh 2020 IEEE Intelligent Vehicles Symposium (IV), 1714-1719, 2020 | 4 | 2020 |
| Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems H Lee, D Hwang, K Min, J Choo Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 2 | 2022 |
| Learning to Discover Skills through Guidance H Kim, BKUN LEE, H Lee, D Hwang, S Park, K Min, J Choo Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Action Conditioned Response Prediction with Uncertainty for Automated Vehicles H Kim, G Kim, J Park, K Min, D Kim, K Huh 2019 International Symposium on Intelligent Signal Processing and …, 2019 | 1 | 2019 |
| Multi-Agent Deep Reinforcement Learning for Cooperative Driving in Crowded Traffic Scenarios J Park, K Min, K Huh 2019 International Symposium on Intelligent Signal Processing and …, 2019 | 1 | 2019 |
| DISCO-DANCE: Learning to Discover Skills with Guidance H Kim, B Lee, S Park, H Lee, D Hwang, K Min, J Choo | | 2022 |
| JORLDY: a fully customizable open source framework for reinforcement learning K Min, H Lee, K Shin, T Lee, H Lee, J Choi, S Son arXiv preprint arXiv:2204.04892, 2022 | | 2022 |
| 충돌 회피 시스템을 위한 상대 차량 주행 경로 예측 조정민， 민규식， 김승기， 허건수 한국자동차공학회 추계학술대회 및 전시회, 292-294, 2016 | | 2016 |
| 동적 장애물이 고려된 맵 기반의 충돌 회피 제어 김하영， 민규식， 김현규， 허건수 한국자동차공학회 춘계학술대회, 270-271, 2016 | | 2016 |
| 장애물의 위험도를 반영한 차량의 장애물 회피 경로생성 알고리즘 민규식， 김하영， 김현규， 신경식， 허건수 한국자동차공학회 학술대회 논문집, 326-328, 2015 | | 2015 |
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