| Driving intention recognition and lane change prediction on the highway T Han, J Jing, Ü Özgüner 2019 IEEE Intelligent Vehicles Symposium (IV), 957-962, 2019 | 41 | 2019 |
| Lane detection system and method TW Han US Patent 9,245,188, 2016 | 19 | 2016 |
| Fusing symbolic and decision-theoretic problem solving+ perception in a graphical cognitive architecture J Chen, A Demski, T Han, LP Morency, D Pynadath, N Rafidi, ... Biologically Inspired Cognitive Architectures 2011, 64-72, 2011 | 19 | 2011 |
| Learning via gradient descent in Sigma PS Rosenbloom, A Demski, T Han, V Ustun Proceedings of the 12th International Conference on Cognitive Modeling 94, 2013 | 17 | 2013 |
| Lane detection & localization for UGV in urban environment T Han, Y Kim, K Kim 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 11 | 2014 |
| An online gait adaptation with superbot in sloped terrains T Han, N Ranasinghe, L Barrios, WM Shen 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1256 …, 2012 | 8 | 2012 |
| An Online Evolving Method For a Safe and Fast Automated Vehicle Control System T Han, SP Nageshrao, D Filev, K Redmill, Ü Özgüner IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 5723-5735, 2021 | 7 | 2021 |
| An online evolving framework for advancing reinforcement-learning based automated vehicle control T Han, S Nageshrao, DP Filev, Ü Özgüner IFAC-PapersOnLine 53 (2), 8118-8123, 2020 | 6 | 2020 |
| Dynamic and Interpretable State Representation for Deep Reinforcement Learning in Automated Driving B Hejase, E Yurtsever, T Han, B Singh, DP Filev, HE Tseng, U Ozguner IFAC-PapersOnLine 55 (24), 129-134, 2022 | 2 | 2022 |
| An online evolving framework for modeling the safe autonomous vehicle control system via online recognition of latent risks T Han, D Filev, U Ozguner arXiv preprint arXiv:1908.10823, 2019 | 1 | 2019 |
| An Online Evolving Method and Framework for Optimal Decision-Making in Reinforcement Learning-based Automated Vehicle Control Systems T Han The Ohio State University, 2020 | | 2020 |
| A New Quadtree Data Structure for Mobile Robot Mapping Problem in a Large Scale Area D Kim, T Han 제어로봇시스템학회 국내학술대회 논문집, 294-295, 2013 | | 2013 |
| Multiapproximator-Based Fault-Tolerant Tracking Control for Unmanned Autonomous Helicopter With Input Saturation............. M Chen, K Yan, Q Wu, T Han, SP Nageshrao, D Filev, K Redmill, ... | | |
| An efficient method to detect features of 3D object by mesh segmentation T Han, S Kim | | |
Umit OzgunerProfessor of ECE, Ohio State UniversityVerified email at osu.edu
