Vision transformer for detecting critical situations and extracting functional scenario for automated vehicle safety assessment M Kang, W Lee, K Hwang, Y Yoon Sustainability 14 (15), 9680, 2022 | 27 | 2022 |
An application of reinforced learning-based dynamic pricing for improvement of ridesharing platform service in Seoul J Song, YJ Cho, MH Kang, KY Hwang Electronics 9 (11), 1818, 2020 | 18 | 2020 |
The detection of black ice accidents for preventative automated vehicles using convolutional neural networks H Lee, M Kang, J Song, K Hwang Electronics 9 (12), 2178, 2020 | 15 | 2020 |
For preventative automated driving system (PADS): traffic accident context analysis based on deep neural networks M Kang, J Song, K Hwang Electronics 9 (11), 1829, 2020 | 13 | 2020 |
Analyzing Traffic Impacts of Auto-mated Vehicles on Expressway Weaving Sections MH Kang, IJ Lm, JI Song, KY Hwang J. Transp. Res 26, 33-47, 2019 | 13 | 2019 |
Black ice detection using CNN for the Prevention of Accidents in Automated Vehicle HJ Lee, K Hwang, MH Kang, JI Song 2020 International Conference on Computational Science and Computational …, 2020 | 11 | 2020 |
Is only the dedicated lane for automated vehicles essential in the future? The dedicated lanes optimal operating system evaluation M Kang, I Im, J Song, K Hwang Sustainability 14 (18), 11490, 2022 | 10 | 2022 |
A Study on Introduction of Demand Responsive Transport (DRT) in Rural-Urban Mixed Area J Choi, M Kang, J Song, KY Hwang Journal of Korean Society of Transportation 40 (3), 289-304, 2022 | 10 | 2022 |
The Design of preventive automated driving systems based on convolutional neural network W Lee, MH Kang, J Song, K Hwang Electronics 10 (14), 1737, 2021 | 10 | 2021 |
The extraction of automated vehicles traffic accident factors and scenarios using real-world data MH Kang, J Song, K Hwang Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 1, 1-15, 2022 | 9 | 2022 |
An Importance Analysis of the Korean Ethical Guideline for Automated Vehicle Using AHP Method K Hwang, J Song, M Kang, I Im The Journal of The Korea Institute of Intelligent Transport Systems 19 (1 …, 2020 | 5 | 2020 |
Prediction of heat wave based on LSTM considering urban-social characteristics of Busan H Kim The Korea Spatial Planning Review 109, 23-36, 2021 | 4* | 2021 |
Critical voxel learning with vision transformer and derivation of logical AV safety assessment scenarios M Kang, J Seo, K Hwang, Y Yoon Accident Analysis & Prevention 195, 107422, 2024 | 3 | 2024 |
Development of autonomous vehicle traffic accident scenarios in urban areas based on real-world accident data using association rule mining H Lee, M Kang, J Song, K Hwang Journal of Korean Society of Transportation 41 (3), 375-393, 2023 | 3* | 2023 |
클러스터링을 통한 역세권 잠재 개발역량 평가 연구: 서울시 2 호선 대중교통 용량 및 토지 특성을 중심으로 이우섭, 강민희, 송재인, 황기연 국토계획 56 (6), 113-127, 2021 | 3 | 2021 |
Development of autonomous vehicle critical situation scenarios in urban areas based on Kinetic 3D-LiDAR PCD with triggered vehicle detection M Kang, S Eom, K Hwang Journal of Korean Society of Transportation 41 (3), 353-374, 2023 | 2 | 2023 |
블랙 아이스의 학습 데이터셋 구축을 위한 Pix2Pix 기반 데이터 증강 방안 이호준, 강민희, 송재인, 황기연 대한교통학회지 40 (4), 539-554, 2022 | 2* | 2022 |
An Application of a Deep Q-Network Based Dynamic Fare Bidding System to Improve the Use of Taxi Services during Off-Peak Hours in Seoul Y Cho, J Song, M Kang, K Hwang Sustainability 13 (16), 9351, 2021 | 2 | 2021 |
Deep Neural Network 기반의 예방적 자율주행시스템 설계 연구: TAAS 데이터를 중심으로 강민희, 송재인, 황기연 대한교통학회 학술대회지, 33-33, 2020 | 2 | 2020 |
The typical AV accident scenarios in the urban area obtained by clustering and association rule mining of real-world accident reports H Lee, M Kang, K Hwang, Y Yoon Heliyon 10 (3), 2024 | 1 | 2024 |