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Ching-Yao Chan
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2020 – today
- 2024
- [j28]Biao Yang
, Caizhen He, Pin Wang
TPPO: A Novel Trajectory Predictor With Pseudo Oracle. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2846-2859 (2024) - [c41]Po-Chen Wu, Li-Hsiang Shen, Kai-Ten Feng, Ching-Yao Chan:
Federated Reinforcement Learning for Multi-Dual-STAR-RIS Assisted DFRC-Enabled Multi-BS in ISAC Systems. ICC 2024: 2986-2991 - [c40]Yu-Ting Li, Li-Hsiang Shen, Kai-Ten Feng, Ching-Yao Chan:
Genetic Multi-Agent Reinforcement Learning for Multiple Double-Sided STAR-RISs in Full-Duplex MIMO Networks. ICC 2024: 5003-5008 - 2023
- [j27]Yuke Li
RESTEP Into the Future: Relational Spatio-Temporal Learning for Multi-Person Action Forecasting. IEEE Trans. Multim. 25: 1954-1963 (2023) - [c39]I-Hsi Kao, Ching-Yao Chan:
Analysis of Pedestrians Intention Prediction Based on Gradient-weighted Class Activation Mapping. ICCE-Taiwan 2023: 445-446 - [i20]Yuke Li, Lixiong Chen, Guangyi Chen
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. CoRR abs/2312.14373 (2023) - 2022
- [j26]Pei Wang, Tingting Zhang, Xiao Zhou, Sanaz Motamedi, Ching-Yao Chan:
Evaluate the Understandability of Information Display Board Signs Using a Driving Simulator Experiment. Int. J. Hum. Comput. Interact. 38(17): 1668-1686 (2022) - [j25]Lili Lu
A Real-Time Prediction Model for Individual Vehicle Travel Time on an Undersaturated Signalized Arterial Roadway. IEEE Intell. Transp. Syst. Mag. 14(5): 72-87 (2022) - [j24]Xiao Zhou
Prediction of Pedestrian Crossing Behavior Based on Surveillance Video. Sensors 22(4): 1467 (2022) - [j23]I-Hsi Kao
Comparison of Eye and Face Features on Drowsiness Analysis. Sensors 22(17): 6529 (2022) - [j22]Chien-Yu Lin
Bimodal Extended Kalman Filter-Based Pedestrian Trajectory Prediction. Sensors 22(21): 8231 (2022) - [j21]I-Hsi Kao
Impact of Posture and Social Features on Pedestrian Road-Crossing Trajectory Prediction. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j20]Biao Yang
Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment. IEEE Trans. Intell. Transp. Syst. 23(6): 5338-5349 (2022) - [j19]Cong Zhao
A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree. IEEE Trans. Intell. Transp. Syst. 23(10): 17910-17921 (2022) - [j18]Arian Ranjbar
Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. IEEE Trans. Intell. Veh. 7(3): 711-721 (2022) - [j17]Biao Yang
A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7064-7078 (2022) - [c38]Yu-Ke Li, Pin Wang, Lixiong Chen
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting. AAAI 2022: 1482-1490 - [d1]Yi He, Bo Cao
WUT-NGSIM: A High-precision and Trustworthy Vehicle Trajectory Dataset. IEEE DataPort, 2022 - 2021
- [j16]Yi He
Visualization Analysis of Intelligent Vehicles Research Field Based on Mapping Knowledge Domain. IEEE Trans. Intell. Transp. Syst. 22(9): 5721-5736 (2021) - [c37]I-Hsi Kao
A Posture Features Based Pedestrian Trajectory Prediction with LSTM. ICCE-TW 2021: 1-2 - [c36]Pin Wang, Dapeng Liu, Jiayu Chen, Hanhan Li, Ching-Yao Chan:
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning. ICRA 2021: 1036-1042 - [c35]Pin Wang, Hanhan Li, Ching-Yao Chan:
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks. ICRA 2021: 12632-12638 - [c34]Fei Ye, Pin Wang, Ching-Yao Chan, Jiucai Zhang:
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles. IV 2021: 223-230 - [c33]Fei Ye, Shen Zhang
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles. IV 2021: 1073-1080 - [c32]Yu-Ke Li, Pin Wang, Mang Ye
Imitative Learning for Multi-Person Action Forecasting. ACM Multimedia 2021: 451-459 - [i19]Pin Wang, Hanhan Li, Ching-Yao Chan:
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks. CoRR abs/2103.12694 (2021) - [i18]Fei Ye, Shen Zhang, Pin Wang, Ching-Yao Chan:
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles. CoRR abs/2105.14218 (2021) - 2020
- [j15]Tingting Li
A Cooperative Lane Change Model for Connected and Automated Vehicles. IEEE Access 8: 54940-54951 (2020) - [j14]Sanaz Motamedi
Acceptance of Full Driving Automation: Personally Owned and Shared-Use Concepts. Hum. Factors 62(2) (2020) - [j13]Jiajia Liu, Huei-Ru Tseng, Ching-Yao Chan
Introduction to the Special Section on Connected and Autonomous Vehicles: Technologies, Methodologies, and Applications. IEEE Trans. Veh. Technol. 69(9): 9251-9252 (2020) - [c31]Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan:
Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. ITSC 2020: 1-7 - [c30]Julian M. Salt Ducaju
Application Specific System Identification for Model-Based Control in Self-Driving Cars. IV 2020: 384-390 - [c29]Fei Ye, Xuxin Cheng, Pin Wang, Ching-Yao Chan, Jiucai Zhang:
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning. IV 2020: 1746-1752 - [c28]Wenshuo Wang, Chengyuan Zhang
Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields. IV 2020: 1935-1940 - [i17]Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen:
A Novel Graph based Trajectory Predictor with Pseudo Oracle. CoRR abs/2002.00391 (2020) - [i16]Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen:
TPPO: A Novel Trajectory Predictor with Pseudo Oracle. CoRR abs/2002.01852 (2020) - [i15]Fei Ye, Xuxin Cheng, Pin Wang, Ching-Yao Chan:
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning. CoRR abs/2002.02667 (2020) - [i14]Fei Ye, Pin Wang, Ching-Yao Chan, Jiucai Zhang:
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles. CoRR abs/2008.12451 (2020)
2010 – 2019
- 2019
- [j12]Yanli Ma, Shouming Qi
Dynamic Bayesian Network Approach to Evaluate Vehicle Driving Risk Based on On-Road Experiment Driving Data. IEEE Access 7: 135050-135062 (2019) - [j11]Xu Li, Wei Chen
Multi-sensor fusion methodology for enhanced land vehicle positioning. Inf. Fusion 46: 51-62 (2019) - [c27]Tingting Li, Jianping Wu, Ching-Yao Chan:
Evolutionary Learning in Decision Making for Tactical Lane Changing. ITSC 2019: 1826-1831 - [c26]I-Ming Chen, Cong Zhao
A Deep Reinforcement Learning-Based Approach to Intelligent Powertrain Control for Automated Vehicles. ITSC 2019: 2620-2625 - [c25]Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng:
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design. ITSC 2019: 2757-2764 - [c24]Tianyu Shi, Pin Wang, Xuxin Cheng, Ching-Yao Chan, Ding Huang:
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning. ITSC 2019: 2895-2900 - [c23]Mengyu Guo, Pin Wang, Ching-Yao Chan, Sid Askary:
A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections. ITSC 2019: 4242-4247 - [c22]Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka:
Behavior Planning of Autonomous Cars with Social Perception. IV 2019: 207-213 - [c21]Pin Wang, Hanhan Li, Ching-Yao Chan:
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm. IV 2019: 1454-1460 - [c20]Pin Wang, Tianyu Shi, Chonghao Zou, Long Xin, Ching-Yao Chan:
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control. IV 2019: 2012-2017 - [i13]Tianyu Shi, Pin Wang, Ching-Yao Chan, Chonghao Zou:
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle. CoRR abs/1901.11212 (2019) - [i12]Tianyu Shi, Pin Wang, Xuxin Cheng, Ching-Yao Chan:
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning. CoRR abs/1904.10171 (2019) - [i11]Liting Sun, Wei Zhan, Ching-Yao Chan, Masayoshi Tomizuka:
Behavior Planning of Autonomous Cars with Social Perception. CoRR abs/1905.00988 (2019) - [i10]Mengyu Guo, Pin Wang, Ching-Yao Chan, Sid Askary:
A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban Intersections. CoRR abs/1905.07698 (2019) - [i9]Pin Wang, Hanhan Li, Ching-Yao Chan:
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm. CoRR abs/1906.02275 (2019) - [i8]Pin Wang, Tianyu Shi, Chonghao Zou, Long Xin, Ching-Yao Chan:
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control. CoRR abs/1906.02277 (2019) - [i7]Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng:
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. CoRR abs/1906.02815 (2019) - [i6]Pin Wang, Dapeng Liu, Jiayu Chen, Ching-Yao Chan:
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving. CoRR abs/1911.08044 (2019) - [i5]Pin Wang, Hanhan Li, Ching-Yao Chan:
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles. CoRR abs/1912.00074 (2019) - 2018
- [j10]Qimin Xu, Xu Li
Enhancing Localization Accuracy of MEMS-INS/GPS/In-Vehicle Sensors Integration During GPS Outages. IEEE Trans. Instrum. Meas. 67(8): 1966-1978 (2018) - [c19]Long Xin, Pin Wang, Ching-Yao Chan, Jianyu Chen, Shengbo Eben Li, Bo Cheng:
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks. ITSC 2018: 1441-1446 - [c18]Xuemei Chen, Qiang Zhang, Zhen-hua Zhang, Ge-meng Liu, Jianwei Gong, Ching-Yao Chan:
Research on Intelligent Merging Decision-making of Unmanned Vehicles Based on Reinforcement Learning. Intelligent Vehicles Symposium 2018: 91-96 - [c17]Wei Zhan, Arnaud de La Fortelle, Yi-Ting Chen, Ching-Yao Chan, Masayoshi Tomizuka:
Probabilistic Prediction from Planning Perspective: Problem Formulation, Representation Simplification and Evaluation Metric. Intelligent Vehicles Symposium 2018: 1150-1156 - [c16]Pin Wang, Ching-Yao Chan, Arnaud de La Fortelle:
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers. Intelligent Vehicles Symposium 2018: 1379-1384 - [i4]Pin Wang, Ching-Yao Chan, Hanhan Li:
Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment. CoRR abs/1803.09200 (2018) - [i3]Pin Wang, Ching-Yao Chan:
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space. CoRR abs/1803.09203 (2018) - [i2]Pin Wang, Ching-Yao Chan, Arnaud de La Fortelle:
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers. CoRR abs/1804.07871 (2018) - 2017
- [j9]Qimin Xu, Xu Li, Ching-Yao Chan:
A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model-Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network. Sensors 17(6): 1431 (2017) - [c15]Pin Wang, Ching-Yao Chan:
Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge. ITSC 2017: 1-6 - [c14]Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka:
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. Intelligent Vehicles Symposium 2017: 632-639 - [c13]Yang Liu, Wei-Bin Zhang, Zhong-li Wang, Ching-Yao Chan:
DSRC-based end of queue warning system. Intelligent Vehicles Symposium 2017: 993-998 - [i1]Pin Wang, Ching-Yao Chan:
Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge. CoRR abs/1709.02066 (2017) - 2016
- [j8]Shu-Hui Lin, Chung-Yu Chen, Eric Hsiao-Kuang Wu, Ching-Yao Chan, Emery Jou:
A New e-Bus System Using Two-Way Government Radio Networks. IEEE Intell. Transp. Syst. Mag. 8(1): 51-60 (2016) - [j7]Xu Li, Ching-Yao Chan, Yu Wang:
A Reliable Fusion Methodology for Simultaneous Estimation of Vehicle Sideslip and Yaw Angles. IEEE Trans. Veh. Technol. 65(6): 4440-4458 (2016) - [c12]Wei Zhan, Changliu Liu, Ching-Yao Chan, Masayoshi Tomizuka:
A non-conservatively defensive strategy for urban autonomous driving. ITSC 2016: 459-464 - [c11]Tong Zhao, Yuan Yuan, Yichun Duan, Wei Yan, Ching-Yao Chan:
A Link Reliability Model of Metropolitan VANETs for Data Dissemination. VTC Fall 2016: 1-5 - 2015
- [c10]Tsung-Hsiang Wu, Chih-Wei Yi
A preliminary study on SPC-crowd pavement indexing. APNOMS 2015: 336-339 - [c9]Yaoqiong Du, Yizhou Wang, Ching-Yao Chan:
Autonomous lane-change controller. Intelligent Vehicles Symposium 2015: 386-393 - 2014
- [c8]Yi-Ta Chuang, Chih-Wei Yi
Model the vibrations of rack-mounted on-vehicle devices by underdamped oscillations. ITSC 2014: 982-987 - [c7]Yaoqiong Du, Yizhou Wang, Ching-Yao Chan:
Autonomous lane-change controller via mixed logical dynamical. ITSC 2014: 1154-1159 - 2013
- [c6]Kuan-Lin Chiu, Chih-Che Lin, Somak Datta Gupta, Ching-Yao Chan:
A traffic speed enforcement system for high speed environment based on Dedicated Short-Range Communications (DSRC) technology. ITSC 2013: 1292-1297 - 2012
- [c5]Somak Datta Gupta, Chih-Che Lin, Ching-Yao Chan:
BSM Emulator - advanced vehicle safety application testbed. ITSC 2012: 1868-1873 - 2010
- [c4]Ching-Yao Chan, Christian Manasseh, Shahram Rezaei:
Experimental design and evaluation of Networked Traveler field tests of safety applications in California. Intelligent Vehicles Symposium 2010: 39-44
2000 – 2009
- 2007
- [j6]Ching-Yao Chan:
Trends in Crash Detection and Occupant Restraint Technology. Proc. IEEE 95(2): 388-396 (2007) - 2006
- [j5]Ching-Yao Chan:
Characterization of Driving Behaviors Based on Field Observation of Intersection Left-Turn Across-Path Scenarios. IEEE Trans. Intell. Transp. Syst. 7(3): 322-331 (2006) - 2002
- [j4]Ching-Yao Chan:
Magnetic sensing as a position reference system for ground vehicle control. IEEE Trans. Instrum. Meas. 51(1): 43-52 (2002) - [j3]Ching-Yao Chan:
On the detection of vehicular crashes-system characteristics and architecture. IEEE Trans. Veh. Technol. 51(1): 180-193 (2002) - [c3]Kun Zhou, Xiqin Wang, Masayoshi Tomizuka, Wei-Bin Zhang, Ching-Yao Chan:
A new maneuvering target tracking algorithm with input estimation. ACC 2002: 166-171 - 2001
- [j2]Ching-Yao Chan, Han-Shue Tan:
Feasibility analysis of steering control as a driver-assistance function in collision situations. IEEE Trans. Intell. Transp. Syst. 2(1): 1-9 (2001) - 2000
- [c2]Ching-Yao Chan, Bénédicte Bougler, David Nelson, Paul Kretz, Han-Shue Tan, Wei-Bin Zhang:
Characterization of magnetic tape and magnetic markers as a position sensing system for vehicle guidance and control. ACC 2000: 95-99 - [c1]Han-Shue Tan, Ching-Yao Chan:
Design of steering controller and analysis of vehicle lateral dynamics under impulsive disturbances. ACC 2000: 2023-2027
1990 – 1999
- 1998
- [j1]Ching-Yao Chan, Bakhtiar Litkouhi:
Technological Challenges In the Development of AHS. J. Intell. Transp. Syst. 4(1-2): 81-100 (1998)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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