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 | 71 | 2020 |
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 |
Multi-head attention based probabilistic vehicle trajectory prediction H Kim, D Kim, G Kim, J Cho, K Huh 2020 IEEE Intelligent Vehicles Symposium (IV), 1720-1725, 2020 | 49 | 2020 |
Intervention minimized semi-autonomous control using decoupled model predictive control H Kim, J Cho, D Kim, K Huh 2017 IEEE intelligent vehicles symposium (IV), 618-623, 2017 | 25 | 2017 |
Local trajectory planning and control for autonomous vehicles using the adaptive potential field D Kim, H Kim, K Huh 2017 IEEE Conference on control technology and applications (CCTA), 987-993, 2017 | 15 | 2017 |
Driving style-based conditional variational autoencoder for prediction of ego vehicle trajectory D Kim, H Shon, N Kweon, S Choi, C Yang, K Huh IEEE Access 9, 169348-169356, 2021 | 13 | 2021 |
Vehicle and method for controlling the same J Choi, D Kim, J Park, HUH Kunsoo, P Jonghyeok US Patent 10384717B2, 2019 | 13 | 2019 |
DSA-GAN: driving style attention generative adversarial network for vehicle trajectory prediction S Choi, N Kweon, C Yang, D Kim, H Shon, J Choi, K Huh 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 12 | 2021 |
Emergency collision avoidance by steering in critical situations J Park, D Kim, K Huh International journal of automotive technology 22 (1), 173-184, 2021 | 12 | 2021 |
A hierarchical motion planning framework for autonomous driving in structured highway environments D Kim, G Kim, H Kim, K Huh IEEE Access 10, 20102-20117, 2022 | 9 | 2022 |
An integrated deep ensemble-unscented Kalman filter for sideslip angle estimation with sensor filtering network D Kim, G Kim, S Choi, K Huh IEEE Access 9, 149681-149689, 2021 | 9 | 2021 |
Hybrid approach for vehicle trajectory prediction using weighted integration of multiple models G Kim, D Kim, Y Ahn, K Huh IEEE Access 9, 78715-78723, 2021 | 8 | 2021 |
Trajectory planning for autonomous highway driving using the adaptive potential field D Kim, H Kim, K Huh 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 8 | 2018 |
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 |
Autonomous vehicle trajectory planning and control based on traffic motion prediction Y Song, D Kim, K Huh 2019 International Symposium on Intelligent Signal Processing and …, 2019 | 3 | 2019 |
Intention aware motion planning with model predictive control in highway merge scenario H Kim, D Kim, K Huh SAE Technical Paper, 2019 | 2 | 2019 |
Neural Motion Planning for Autonomous Parking D Kim, K Huh International Journal of Control, Automation and Systems 21 (4), 1309-1318, 2023 | 1 | 2023 |
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 |
Deep Learning Applications to Autonomous Vehicle: Adaptive Sideslip Estimation, Personalized Trajectory Prediction and Efficient Planning for Parking 김동찬 한양대학교, 2022 | | 2022 |
주행 데이터 학습을 통한 주행 성향 판단 및 경로 예측 권나현, 김동찬, 양찬욱, 손혁주, 최승원, 최재웅, 허건수 한국자동차공학회 추계학술대회 및 전시회, 452-454, 2021 | | 2021 |