Prati
Xiangkun He (何祥坤)
Naslov
Citirano
Citirano
Godina
Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits
X Ji, X He, C Lv, Y Liu, J Wu
Control Engineering Practice 76, 41-53, 2018
2792018
Emergency steering control of autonomous vehicle for collision avoidance and stabilisation
X He, Y Liu, C Lv, X Ji, Y Liu
Vehicle System Dynamics, 2019
1712019
Robust lane change decision making for autonomous vehicles: An observation adversarial reinforcement learning approach
X He, H Yang, Z Hu, C Lv
IEEE Transactions on Intelligent Vehicles 8 (1), 184-193, 2022
1622022
Adaptive control of PMSM servo system for steering-by-wire system with disturbances observation
J Wu, J Zhang, B Nie, Y Liu, X He
IEEE transactions on transportation electrification 8 (2), 2015-2028, 2021
1292021
Interactive control paradigm-based robust lateral stability controller design for autonomous automobile path tracking with uncertain disturbance: A dynamic game approach
X Ji, Y Liu, X He, K Yang, X Na, C Lv, Y Liu
IEEE Transactions on Vehicular Technology 67 (8), 6906-6920, 2018
982018
Intention recognition and trajectory prediction for vehicles using LSTM network
J Xue-wu, F Cong, H Xiang-kun, L Yu-long, L Ya-hui
China Journal of Highway and Transport (1st Class Outstanding Paper Award …, 2019
83*2019
A vehicle stability control strategy with adaptive neural network sliding mode theory based on system uncertainty approximation
X Ji, X He, C Lv, Y Liu, J Wu
Vehicle System Dynamics 56 (6), 923-946, 2018
812018
Robust decision making for autonomous vehicles at highway on-ramps: A constrained adversarial reinforcement learning approach
X He, B Lou, H Yang, C Lv
IEEE Transactions on Intelligent Transportation Systems 24 (4), 4103-4113, 2023
642023
基于 LSTM 网络的驾驶意图识别及车辆轨迹预测
季学武， 费聪， 何祥坤， 刘玉龙， 刘亚辉
中国公路学报 32 (6), 34-42, 2019
482019
Fear-neuro-inspired reinforcement learning for safe autonomous driving
X He, J Wu, Z Huang, Z Hu, J Wang, A Sangiovanni-Vincentelli, C Lv
IEEE transactions on pattern analysis and machine intelligence 46 (1), 267-279, 2024
402024
Goal-guided transformer-enabled reinforcement learning for efficient autonomous navigation
W Huang, Y Zhou, X He, C Lv
IEEE Transactions on Intelligent Transportation Systems 25 (2), 1832-1845, 2023
342023
Preview-scheduled steering assistance control for co-piloting vehicle: A human-like methodology
K Yang, Y Liu, X Na, X He, Y Liu, J Wu, S Nakano, X Ji
Vehicle system dynamics 58 (4), 518-544, 2020
332020
Robust multiagent reinforcement learning toward coordinated decision-making of automated vehicles
X He, H Chen, C Lv
SAE International Journal of Vehicle Dynamics, Stability, and NVH, 2023
322023
Toward personalized decision making for autonomous vehicles: A constrained multi-objective reinforcement learning technique
X He, C Lv
Transportation Research Part C: Emerging Technologies 156, 104352, 2023
312023
Finite-time optimized robust control with adaptive state estimation algorithm for autonomous heavy vehicle
Y Liu, X Ji, K Yang, X He, X Na, Y Liu
Mechanical Systems and Signal Processing 139, 106616, 2020
302020
Multi‐modal vehicle trajectory prediction based on mutual information
C Fei, X He, X Ji
IET Intelligent Transport Systems 14 (3), 148-153, 2020
282020
Safe decision-making for lane-change of autonomous vehicles via human demonstration-aided reinforcement learning
J Wu, W Huang, N de Boer, Y Mo, X He, C Lv
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
242022
Path following control of tractor with an electro-hydraulic coupling steering system: Layered multi-loop robust control architecture
G Xu, M Chen, X He, H Pang, H Miao, P Cui, W Wang, P Diao
Biosystems Engineering 209, 282-299, 2021
222021
Research on vehicle stability control strategy based on integrated-electro-hydraulic brake system
X He, K Yang, X Ji, Y Liu, W Deng
SAE Technical Paper, 2017
212017
Toward trustworthy decision-making for autonomous vehicles: A robust reinforcement learning approach with safety guarantees
X He, W Huang, C Lv
Engineering 33, 77-89, 2024
202024
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