Hwasoo Yeo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Behavior Recognition

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time. CoRR (2024)
Haechan Cho, Yeohwan Yoon, Jihu Kim, Hwasoo Yeo
Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application. ICAIIC (2023)
Hye-young Tak, Yeeun Kim, Sunghoon Kim, Hwasoo Yeo
A Hybrid Model for Real-Time Traffic Prediction with Augmented Historical Data Using Traffic Simulation. ITSC (2023)
Hyunsoo Kim, Zhixiong Jin, Hyeyoung Tak, Hwapyeong Yu, Hwasoo Yeo
Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning. ITSC (2023)
Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
A Framework for Pedestrian Sub-classification and Arrival Time Prediction at Signalized Intersection Using Preprocessed Lidar Data. CoRR (2022)
Zhixiong Jin, Byeongjoon Noh, Haechan Cho, Hwasoo Yeo
Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents. ITSC (2022)
Ji-Young Hwang, Byeongjoon Noh, Zhixiong Jin, Hwasoo Yeo
Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction. ITSC (2022)
Byeongjoon Noh, Hansaem Park, Hwasoo Yeo
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model. CoRR (2021)
Byeongjoon Noh, Dongho Ka, David Lee, Hwasoo Yeo
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City. CoRR (2021)
Byeongjoon Noh, Wonjun No, David Lee, Hwasoo Yeo
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor. CoRR (2021)
Byeongjoon Noh, Hwasoo Yeo
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure. CoRR (2021)
Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach. CoRR (2021)
Minju Park, Yeeun Kim, Hwasoo Yeo
Development of an Asymmetric Car-Following Model and Simulation Validation. IEEE Trans. Intell. Transp. Syst. 21 (8) (2020)
Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo, Mónica Menéndez, Saif Eddin Jabari
Traffic Data Imputation Using Deep Convolutional Neural Networks. IEEE Access 8 (2020)
Seongjin Choi, Jiwon Kim, Hwasoo Yeo
TrajGAIL: Generating Urban Trajectories using Generative Adversarial Imitation Learning. CoRR (2020)
Ue-Hwan Kim, Dongho Ka, Hwasoo Yeo, Jong-Hwan Kim
A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation. CoRR (2020)
Yeeun Kim, Seongjin Choi, Hwasoo Yeo
Extended Urban Cell Transmission Model Using Agent-based Modeling. ANT/EDI40 (2020)
Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo, Mónica Menéndez, Saif Eddin Jabari
Traffic Data Imputation using Deep Convolutional Neural Networks. CoRR (2020)
Seongjin Choi, Jiwon Kim, Hwasoo Yeo
Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. ANT/EDI40 (2019)
Sunghoon Kim, Hwapyeong Yu, Hwasoo Yeo
A Study on Inter-region Flow Control of Urban Traffic: A Modification of the Greedy Control Strategy. ITSC (2019)
Yeeun Kim, Seongjin Choi, Jihyuk Park, Hwasoo Yeo
Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model. ANT/EDI40 (2019)
Seongjin Choi, Jiwon Kim, Hwapyeong Yu, Hwasoo Yeo
Real-time Prediction of Arterial Vehicle Trajectories: An Application to Predictive Route Guidance for an Emergency Vehicle. ITSC (2019)
Donghoun Lee, Sunghoon Kim, Sehyun Tak, Hwasoo Yeo
Real-Time Feed-Forward Neural Network-Based Forward Collision Warning System Under Cloud Communication Environment. IEEE Trans. Intell. Transp. Syst. 20 (12) (2019)
Seongjin Choi, Jiwon Kim, Hwasoo Yeo
Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. CoRR (2018)
Yeeun Kim, Seongjin Choi, Hwasoo Yeo
Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior. ITSC (2018)
Seongjin Choi, Hwasoo Yeo
Framework for simulation-based lane change control for autonomous vehicles. Intelligent Vehicles Symposium (2017)
Erfan Shaghaghi, Mohammad Reza Jabbarpour, Rafidah Md Noor, Hwasoo Yeo, Jason J. Jung
Adaptive green traffic signal controlling using vehicular communication. Frontiers Inf. Technol. Electron. Eng. 18 (3) (2017)
Yeeun Kim, Sehyun Tak, Jeongyun Kim, Hwasoo Yeo
Identifying major accident scenarios in intersection and evaluation of collision warning system. ITSC (2017)
Joonsang Baek, Eman Hableel, Young-Ji Byon, Duncan S. Wong, Kitae Jang, Hwasoo Yeo
How to Protect ADS-B: Confidentiality Framework and Efficient Realization Based on Staged Identity-Based Encryption. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Simon Oh, Young-Ji Byon, Hwasoo Yeo
Improvement of Search Strategy With K-Nearest Neighbors Approach for Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. 17 (4) (2016)
Hanjoon Kim, Gwangsun Kim, Hwasoo Yeo, John Kim, Seung Ryoul Maeng
Design and Analysis of Hybrid Flow Control for Hierarchical Ring Network-on-Chip. IEEE Trans. Computers 65 (2) (2016)
Yongjun Ahn, Chulmin Jun, Hwasoo Yeo
Analysing driving patterns of electric taxi based on the location of charging station in urban area. ISC2 (2016)
Sehyun Tak, Sunghoon Kim, Simon Oh, Hwasoo Yeo
Development of a Data-Driven Framework for Real-Time Travel Time Prediction. Comput. Aided Civ. Infrastructure Eng. 31 (10) (2016)
Sehyun Tak, Soomin Woo, Hwasoo Yeo
Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links. IEEE Trans. Intell. Transp. Syst. 17 (6) (2016)
Donghoun Lee, Hwasoo Yeo
Real-Time Rear-End Collision-Warning System Using a Multilayer Perceptron Neural Network. IEEE Trans. Intell. Transp. Syst. 17 (11) (2016)
Sehyun Tak, Sunghoon Kim, Hwasoo Yeo
A Study on the Traffic Predictive Cruise Control Strategy With Downstream Traffic Information. IEEE Trans. Intell. Transp. Syst. 17 (7) (2016)
Xuhua Rui, Mino Ku, Na-Yun Cho, Kihong Han, Hwasoo Yeo, Dugki Min
A Freeway Crash Involvement Analysis Model based on Real-Time and Historical Traffic BigData. BigDAS (2015)
Simon Oh, Young-Ji Byon, Hwasoo Yeo
Impact of Traffic State Transition and Oscillation on Highway Performance with Section-Based Approach. ITSC (2015)
Sehyun Tak, Soomin Woo, Hwasoo Yeo
Sampling-based collision warning system with smartphone in cloud computing environment. Intelligent Vehicles Symposium (2015)
Sehyun Tak, Sunghoon Kim, Hwasoo Yeo
Development of a Deceleration-Based Surrogate Safety Measure for Rear-End Collision Risk. IEEE Trans. Intell. Transp. Syst. 16 (5) (2015)
Donghoon Lee, Hwasoo Yeo
A study on the rear-end collision warning system by considering different perception-reaction time using multi-layer perceptron neural network. Intelligent Vehicles Symposium (2015)
Sehyun Tak, Sunghoon Kim, Hwasoo Yeo
Travel time prediction for Origin-Destination pairs without route specification in urban network. ITSC (2014)
Hanjoon Kim, Gwangsun Kim, Seungryoul Maeng, Hwasoo Yeo, John Kim
Transportation-network-inspired network-on-chip. HPCA (2014)
Sungwook Shin, Jonghae Suh, Hwasoo Yeo
Development of ECM-based microscopic pedestrian movement model. ITSC (2013)
Hwasoo Yeo, Alexander Skabardonis
Microscopic fundamental relationships between vehicle speed and spacing in view of asymmetric traffic theory. ITSC (2011)