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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：149/0  |  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：194/12  |  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：234/0  |  提交时间：2022/11/14
Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss  
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Tian, Yonglin;  Huang, Lichao;  Yu, Hui;  Wu, Xiangbin;  Li, Xuesong;  Wang, Kunfeng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：228/0  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Convolution  Proposals  Kernel  Laser radar  Semantics  Point clouds  3D detection  dynamic network  context features  
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：244/0  |  提交时间：2021/08/15
Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey  
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 2, 页码: 863-875
作者:  Zhang, Hui;  Luo, Guiyang;  Tian, Yonglin;  Wang, Kunfeng;  He, Haibo;  Wang, Fei-Yue
收藏  |  浏览/下载：287/0  |  提交时间：2021/03/29
Image segmentation  Annotations  Computational modeling  Automation  Object detection  Visualization  Instance segmentation  virtual-real interaction  synthetic images  distribution discrepancy  autonomous vehicles  
The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2072-2084
作者:  Li, Xuan;  Wang, Kunfeng;  Tian, Yonglin;  Yan, Lan;  Deng, Fang;  Wang, Fei-Yue
收藏  |  浏览/下载：335/0  |  提交时间：2019/07/11
Traffic vision  complex environments  parallel vision  artificial scenes  ParallelEye  virtual dataset  
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：382/164  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
浏览  |  Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：473/180  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3290-3302
作者:  Wang, Dongdong;  Hou, Xinwen;  Xu, Jiawei;  Yue, Shigang;  Liu, Cheng-Lin;  Cheng-Lin Liu
浏览  |  Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：554/174  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test