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Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Gao, Yuan;  Guo, Yu;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：11/0  |  提交时间：2024/07/03
Intelligent transportation system (ITS)  transportation surveillance  low-light image enhancement  ultra-high-definition (UHD)  double domain guidance  
CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Zhou, Hao;  Yang, Xu;  Ren, Dongchun;  Huang, Hai;  Fan, Mingyu
Adobe PDF(4364Kb)  |  收藏  |  浏览/下载：101/2  |  提交时间：2023/11/17
Cascaded prediction  sliding sequence prediction  iterative social-aware rethinking  trajectory prediction  
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：321/42  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
CenterNet3D: An Anchor Free Object Detector for Point Cloud 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Wang, Guojun;  Wu, Jian;  Tian, Bin;  Teng, Siyu;  Chen, Long;  Cao, Dongpu
Adobe PDF(4101Kb)  |  收藏  |  浏览/下载：230/3  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Detectors  Object detection  Proposals  Laser radar  Heating systems  Point cloud  autonomous vehicles  deep learning  3D detection  anchor free  
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：396/67  |  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  
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：472/180  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
A Parallel Transportation Management and Control System for Bus Rapid Transit Using the ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 9, 页码: 2569-2574
作者:  Dong, Xisong;  Lin, Yuetong;  Shen, Dayong;  Li, Zhengxi;  Zhu, Fenghua;  Hu, Bin;  Fan, Dong;  Xiong, Gang
浏览  |  Adobe PDF(2125Kb)  |  收藏  |  浏览/下载：453/131  |  提交时间：2018/03/03
Bus Rapid Transit (Brt)  Acp Approach Parallel Transportation System  Dynamic Perception  Artificial Transportation System  
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：847/385  |  提交时间：2018/01/04
Traffic Sign Detection  Traffic Sign Classification  Convolutional Neural Network  Multi-task Learning  
Parallel Transportation Management and Control System for Subways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1974-1979
作者:  Xiong, Gang;  Shen, Dayong;  Dong, Xisong;  Hu, Bin;  Fan, Dong;  Zhu, Fenghua
浏览  |  Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：538/221  |  提交时间：2017/09/12
Subways  Acp Approach  Status Perception  Artificial Subway System  Computational Experiments Platform  Parallel Execution System  
Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1857-1866
作者:  Ye, Peijun;  Wen, Ding
浏览  |  Adobe PDF(1590Kb)  |  收藏  |  浏览/下载：385/118  |  提交时间：2017/09/12
Traffic Sensor Location  Traffic Flow Estimation  Compressed Sensing