Learning-enabled decision-making for autonomous driving: framework and methodology

by Huang, Zhiyu
Published 2023

Uncertainty-aware model-based reinforcement learning: methodology and application in autonomous driving

by Wu, Jingda, Huang, Zhiyu, Lv, Chen
Published 2024

Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding

by Huang, Zhiyu, Lv, Chen, Xing, Yang, Wu, Jingda
Published 2022

Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network

by Mo, Xiaoyu, Huang, Zhiyu, Xing, Yang, Lv, Chen
Published 2022

Toward human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for autonomous driving

by Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Lv, Chen
Published 2023

Prioritized experience-based reinforcement learning with human guidance for autonomous driving

by Wu, Jingda, Huang, Zhiyu, Huang, Wenhui, Lv, Chen
Published 2024

Fear-neuro-inspired reinforcement learning for safe autonomous driving

by He, Xiangkun, Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Wang, Jun, Sangiovanni-Vincentelli, Alberto, Lv, Chen
Published 2024

Improved short-term speed prediction using spatiotemporal-vision-based deep neural network for intelligent fuel cell vehicles

by Zhang, Yuanzhi, Huang, Zhiyu, Zhang, Caizhi, Lv, Chen, Deng, Chenghao, Hao, Dong, Chen, Jinrui, Ran, Hongxu
Published 2022