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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
收藏  |  浏览/下载：56/0  |  提交时间：2023/11/17
Cascaded prediction  sliding sequence prediction  iterative social-aware rethinking  trajectory prediction  
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Hu, Xuemin;  Liu, Yanfang;  Tang, Bo;  Yan, Junchi;  Chen, Long
收藏  |  浏览/下载：26/0  |  提交时间：2023/11/17
Autonomous driving  graph convolutional network  trainable adjacency matrix  overtaking  dynamic graph  
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：247/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 7, 页码: 9654-9664
作者:  Yu, Xiaoyuan;  Liang, Yanyan;  Lin, Xuxin;  Wan, Jun;  Wang, Tian;  Dai, Hong-Ning
收藏  |  浏览/下载：195/0  |  提交时间：2022/11/14
Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss  
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：186/0  |  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：177/0  |  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 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：204/0  |  提交时间：2021/08/15
Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey  
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：174/0  |  提交时间：2022/01/27
Vehicles  Safety  Accidents  Sensors  Prototypes  Autonomous vehicles  Automation  Autonomous vehicles  driving safety  social interaction  
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  
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：429/167  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks