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CASIA OpenIR
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基于强化学习与安全约束的自动驾驶决策方法 期刊论文
交通运输研究, 2023, 卷号: 9, 期号: 1, 页码: 31-39
作者:  王宇霄;  刘敬玉;  李忠飞;  朱凤华
Adobe PDF(2613Kb)  |  收藏  |  浏览/下载：6/2  |  提交时间：2024/06/11
深度强化学习  自动驾驶  决策  安全约束  
Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
作者:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning 会议论文
, Jeju, Korea, Jun. 02-05, 2024
作者:  Yijia Li;  Hao Qi;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye
Adobe PDF(87Kb)  |  收藏  |  浏览/下载：14/6  |  提交时间：2024/06/06
Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network 会议论文
, Macau, China, October 8-12, 2022
作者:  Zhao, Hongxia;  Chen, Songhang;  Zhu, Fenghua;  Tang, Haina
Adobe PDF(565Kb)  |  收藏  |  浏览/下载：14/8  |  提交时间：2024/06/03
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3692-3711
作者:  Teng, Siyu;  Hu, Xuemin;  Deng, Peng;  Li, Bai;  Li, Yuchen;  Ai, Yunfeng;  Yang, Dongsheng;  Li, Lingxi;  Xuanyuan, Zhe;  Zhu, Fenghua;  Chen, Long
收藏  |  浏览/下载：119/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning  
MSFANet: A Light Weight Object Detector Based on Context Aggregation and Attention Mechanism for Autonomous Mining Truck 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2285-2295
作者:  Song, Ruiqi;  Ai, Yunfeng;  Tian, Bin;  Chen, Long;  Zhu, Fenghua;  Yao, Fei
收藏  |  浏览/下载：63/0  |  提交时间：2023/11/17
Feature extraction  Object detection  Autonomous vehicles  Task analysis  Detectors  Semantics  Real-time systems  feature fusion  object detection  surface mine  
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：123/22  |  提交时间：2023/06/26
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：291/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：225/76  |  提交时间：2022/06/16
Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing 会议论文
Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece; Online, 2020-9-20
作者:  Fan, Siqi;  Zhu, Fenghua;  Zhang, Hui;  Lv, Yisheng;  Wang, Xiao;  Xiong, Gang;  Wang, Feiyue
Adobe PDF(2270Kb)  |  收藏  |  浏览/下载：256/57  |  提交时间：2022/06/16