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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：22/8  |  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：22/6  |  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：27/11  |  提交时间：2024/06/06
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705
作者:  Ye, Peijun;  Qi, Hao;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：42/0  |  提交时间：2024/03/26
Safe driving  reinforcement learning  counter factual reasoning  evolutionary search  
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：127/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning  
Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation 会议论文
, 北京, 2020-12-5
作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua;  Qu, Tianci;  Ye, Peijun
Adobe PDF(616Kb)  |  收藏  |  浏览/下载：246/88  |  提交时间：2022/06/16
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：332/66  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(7159Kb)  |  收藏  |  浏览/下载：264/38  |  提交时间：2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：467/231  |  提交时间：2020/10/15
Intelligent transportation systems  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：237/93  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning