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Guest Editorial Special Issue on Big Data and AI for Computational Transportation in the Cyber-Physical-Social Space 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 12, 页码: 7887-7890
作者:  Lv, Weifeng;  Lv, Yisheng;  Malikopoulos, Andreas A.;  Vlahogianni, Eleni, I;  Wang, Fei-Yue
收藏  |  浏览/下载：138/0  |  提交时间：2021/12/28
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：196/0  |  提交时间：2022/01/27
Object detection  domain adaptation  synthetic data  intelligent visual perception  
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
收藏  |  浏览/下载：180/0  |  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  
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Ning, Lingbin;  Zhou, Min;  Hou, Zhuopu;  Goverde, Rob M. P.;  Wang, Fei-Yue;  Dong, Hairong
收藏  |  浏览/下载：173/0  |  提交时间：2022/01/27
Rail transportation  Training  Heuristic algorithms  Resistance  Optimal control  Trajectory optimization  Switches  High-speed railway  train trajectory optimization  deep deterministic policy gradient  energy efficiency  
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：196/0  |  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：208/0  |  提交时间：2021/08/15
Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey  
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302
作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun;  Cui, Yong;  Zhang, Baochang;  Xiong, Gang;  Wang, Zilie
收藏  |  浏览/下载：243/0  |  提交时间：2021/08/15
Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network  
Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 16
作者:  Li, Li;  Zhao, Can;  Wang, Xiao;  Li, Zhiheng;  Chen, Long;  Lv, Yisheng;  Zheng, Nan-Ning;  Wang, Fei-Yue
收藏  |  浏览/下载：180/0  |  提交时间：2022/01/27
Vehicles  Safety  Accidents  Sensors  Prototypes  Autonomous vehicles  Automation  Autonomous vehicles  driving safety  social interaction  
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 11
作者:  Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：186/0  |  提交时间：2022/01/27
Engines  Control systems  Urban areas  Process control  Roads  Generators  Spatiotemporal phenomena  Spatial-temporal recommender system  urban traffic control  parallel traffic management  human-in-the-loop system  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：217/0  |  提交时间：2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning