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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：280/53  |  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  
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：354/151  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 4, 页码: 1100-1111
作者:  Luo, Hengliang;  Yang, Yi;  Tong, Bei;  Wu, Fuchao;  Fan, Bin
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：793/372  |  提交时间：2018/01/04
Traffic Sign Detection  Traffic Sign Classification  Convolutional Neural Network  Multi-task Learning  
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：499/157  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Towards Real-Time Traffic Sign Detection and Classification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 7, 页码: 2022-2031
作者:  Yang, Yi;  Luo, Hengliang;  Xu, Huarong;  Wu, Fuchao
浏览  |  Adobe PDF(3538Kb)  |  收藏  |  浏览/下载：979/379  |  提交时间：2016/10/20
Traffic Sign Detection  Traffic Sign Recognition  Real-time  Color Probability Model  
An Incidental Delivery Based Method for Resolving Multirobot Pairwised Transportation Problems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 7, 页码: 1852-1866
作者:  Liu, Zhe;  Wang, Hesheng;  Chen, Weidong;  Yu, Junzhi;  Chen, Jian
Adobe PDF(3291Kb)  |  收藏  |  浏览/下载：304/82  |  提交时间：2016/10/20
Incidental Delivery  Multirobot Pairwised Transportation (Mrpwt)  Simulated Annealing  
Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 4, 页码: 1096-1107
作者:  Gou, Chao;  Wang, Kunfeng;  Yao, Yanjie;  Li, Zhengxi;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：852/381  |  提交时间：2016/04/06
License Plate Detection  License Plate Recognition  Hybrid Discriminative Restricted Boltzmann Machines  Extremal Regions  
Visual Tracking Based on Dynamic Coupled Conditional Random Field Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 3, 页码: 822-833
作者:  Liu, Yuqiang;  Wang, Kunfeng;  Shen, Dayong;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(1757Kb)  |  收藏  |  浏览/下载：392/124  |  提交时间：2016/04/06
Coupled Conditional Random Field  Dynamic Models  Visual Tracking  Region-level Tracking  Spatiotemporal Context  
Scanning the Issue and Beyond: Transportation Games for Social Transportation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 3, 页码: 1061-1069
作者:  Wang, Fei-Yue;  Wang, FY
浏览  |  Adobe PDF(101Kb)  |  收藏  |  浏览/下载：228/58  |  提交时间：2015/09/23
Transportation Games  Social Transportation  
A GPU-Based Parallel Genetic Algorithm for Generating Daily Activity Plans 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 卷号: 13, 期号: 3, 页码: 1474-1480
作者:  Wang, Kai;  Shen, Zhen
浏览  |  Adobe PDF(538Kb)  |  收藏  |  浏览/下载：262/88  |  提交时间：2015/08/12
Artificial Societies-computational Experiments-parallel Execution (Acp)  Artificial Transportation System (Ats)  Compute Unified Device Architecture (Cuda)  Daily Activity Plan  Genetic Algorithm (Ga)  Graphics Processing Unit (Gpu)  Microsimulation