CASIA OpenIR

浏览/检索结果: 共37条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Du, Wenbo;  Chen, Shenwen;  Li, Zhishuai;  Cao, Xianbin;  Lv, Yisheng
收藏  |  浏览/下载:85/0  |  提交时间:2023/11/16
Airport traffic flow  predictive models  deep learning  causality graph  spatiotemporal analysis  
Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization via Cross-Domain Data Association 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:  Gao, Xiang;  Tao, Dongdong;  Liu, Yuqian;  Xie, Zexiao;  Shen, Shuhan
收藏  |  浏览/下载:73/0  |  提交时间:2023/11/17
Index Terms-Urban scene 3D mapping  image and LiDAR  pose globalization  cross-domain data association  GNSS/IMU  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载:134/0  |  提交时间:2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载:148/0  |  提交时间:2023/01/09
Index Terms- Traffic forecasting  graph convolutional network  spatial-temporal networks  over-smoothing  
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载:145/0  |  提交时间:2022/11/14
Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载:245/30  |  提交时间:2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Navigating Diverse Salient Features for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 10
作者:  Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
Adobe PDF(795Kb)  |  收藏  |  浏览/下载:257/51  |  提交时间:2022/09/19
Navigation  Task analysis  Image color analysis  Boosting  Feature extraction  Benchmark testing  Space vehicles  Vehicle re-identification  suppress-and-explore mode  grid-based salient navigation  cross-space constraints  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载:170/0  |  提交时间:2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks  
Multi-Granularity Mutual Learning Network for Object Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Tu, Mingfei;  Zhu, Kuan;  Guo, Haiyun;  Miao, Qinghai;  Zhao, Chaoyang;  Zhu, Guibo;  Qiao, Honglin;  Huang, Gaopan;  Tang, Ming;  Wang, Jinqiao
Adobe PDF(4360Kb)  |  收藏  |  浏览/下载:343/69  |  提交时间:2022/06/10
Feature extraction  Visualization  Task analysis  Intelligent transportation systems  Image reconstruction  Semantics  Licenses  Object re-identification  mutual learning  feature reconstruction  solving jigsaw puzzle  
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Jin, Junchen;  Rong, Dingding;  Zhang, Tong;  Ji, Qingyuan;  Guo, Haifeng;  Lv, Yisheng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载:234/0  |  提交时间:2022/06/06
Roads  Predictive models  Data models  Recurrent neural networks  Generators  Computer architecture  Deep learning  Short-term link speed prediction  signalized urban networks  Wasserstein generative adversarial network