CASIA OpenIR

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:
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:102/2  |  提交时间:2023/11/17
Cascaded prediction  sliding sequence prediction  iterative social-aware rethinking  trajectory prediction  
Airport Capacity Prediction With Multisource Features: A Temporal Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 1, 页码: 615-630
作者:  Du, Wenbo;  Chen, Shenwen;  Li, Haitao;  Li, Zhishuai;  Cao, Xianbin;  Lv, Yisheng
收藏  |  浏览/下载:77/0  |  提交时间:2023/11/16
Airport capacity  predictive model  multi-channel fusion structure  machine learning  deep learning  
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:192/12  |  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)  
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:232/3  |  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  
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:355/69  |  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  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载:305/63  |  提交时间:2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
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:399/67  |  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  
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  
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:849/386  |  提交时间:2018/01/04
Traffic Sign Detection  Traffic Sign Classification  Convolutional Neural Network  Multi-task Learning  
Scanning the Issue and Beyond: Merton's Laws and Mertionian Systems for ITS 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6
作者:  Wang, Fei-Yue
Adobe PDF(247Kb)  |  收藏  |  浏览/下载:212/6  |  提交时间:2016/01/18