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KyuShik Min
KyuShik Min
Kakao
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Deep q learning based high level driving policy determination
K Min, H Kim, K Huh
2018 IEEE Intelligent Vehicles Symposium (IV), 226-231, 2018
412018
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
362020
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
332019
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
252019
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
252018
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
152018
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
112020
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
42020
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
22019
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
12019
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
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 추계학술대회 및 전시회, 326-328, 2015
2015
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–15