中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共41条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 17
作者:  Wang, Fei-Yue;  Lin, Yilun;  Ioannou, Petros A.;  Vlacic, Ljubo;  Liu, Xiaoming;  Eskandarian, Azim;  Lv, Yisheng;  Na, Xiaoxiang;  Cebon, David;  Ma, Jiaqi;  Li, Lingxi;  Olaverri-Monreal, Cristina
收藏  |  浏览/下载：125/0  |  提交时间：2023/11/16
Intelligent transportation systems  cyber-physical-social systems  parallel intelligence  knowledge automation  DAOs  transportation 5.0  
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：160/5  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 7, 页码: 9654-9664
作者:  Yu, Xiaoyuan;  Liang, Yanyan;  Lin, Xuxin;  Wan, Jun;  Wang, Tian;  Dai, Hong-Ning
收藏  |  浏览/下载：211/0  |  提交时间：2022/11/14
Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss  
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：289/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：258/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight  
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：316/63  |  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  
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3234-3246
作者:  Chen, Long;  Lin, Shaobo;  Lu, Xiankai;  Cao, Dongpu;  Wu, Hangbin;  Guo, Chi;  Liu, Chun;  Wang, Fei-Yue
收藏  |  浏览/下载：221/0  |  提交时间：2021/08/15
Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey  
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 11, 页码: 4516-4525
作者:  Zhu, Yuanheng;  He, Haibo;  Zhao, Dongbin
Adobe PDF(1648Kb)  |  收藏  |  浏览/下载：160/5  |  提交时间：2021/01/06
Cooperative adaptive cruise control  string stability  time-delay system  H-infinity control  linear matrix inequality  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：379/66  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：366/158  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network