中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共13条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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  
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：118/0  |  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  
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  
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：319/64  |  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：259/38  |  提交时间：2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
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：227/89  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Cyber-Physical-Social System in Intelligent Transportation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2015, 期号: 3, 页码: 320 - 333
作者:  Gang Xiong;  Fenghua Zhu;  Xiwei Liu;  Xisong Dong;  Wuling Huang;  Songhang Chen;  Zhao K(赵恺)
浏览  |  Adobe PDF(4004Kb)  |  收藏  |  浏览/下载：377/161  |  提交时间：2019/10/10
Cyber-physical-social System (Cpss)  Acp Approach  Intelligent Transportation System (Its)  Parallel Control And Management,  Internet Of Vehicles  Social Transportation Network  
基于MFD 的城市区域过饱和交通信号优化控制 期刊论文
自动化学报, 2017, 卷号: 43, 期号: 7, 页码: 1220-1233
作者:  刘小明;  唐少虎;  朱凤华;  陈兆盟
浏览  |  Adobe PDF(1698Kb)  |  收藏  |  浏览/下载：394/122  |  提交时间：2018/01/06
区域交通信号优化  宏观基本图  
Cyber-Physical-Social System in Intelligent Transportation 期刊论文
IEEE/CAA JOURNAL OF AUTOMATICA SINICA,, 2015, 卷号: 2, 期号: 3, 页码: 320-333
作者:  Gang XIONG;  Fenghua Zhu;  Xiwei Liu;  Xisong Dong;  Wuling Huang;  Songhang Chen;  Kai Zhao
浏览  |  Adobe PDF(4001Kb)  |  收藏  |  浏览/下载：397/160  |  提交时间：2017/12/31
Cyber-physical-social System (Cpss)  Acp Approach  Intelligent Transportation System (Its)  Parallel Control And Management  Internet Of Vehicles