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CASIA OpenIR
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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Zhao, Chenjie;  Guo, Yu;  Xu, Sendren Sheng-Dong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：34/0  |  提交时间：2024/02/22
Waterborne transportation  intelligent maritime surveillance  vessel draft reading (VDR)  multi-task learning  image segmentation  
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:  Guo, Yu;  Liu, Ryan Wen;  Qu, Jingxiang;  Lu, Yuxu;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：58/0  |  提交时间：2023/11/17
Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion  
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3692-3711
作者:  Teng, Siyu;  Hu, Xuemin;  Deng, Peng;  Li, Bai;  Li, Yuchen;  Ai, Yunfeng;  Yang, Dongsheng;  Li, Lingxi;  Xuanyuan, Zhe;  Zhu, Fenghua;  Chen, Long
收藏  |  浏览/下载：86/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning  
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply-Demand Balance Control 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 18
作者:  Shang, Chunlin;  Zhu, Fenghua;  Xu, Yancai;  Liu, Xiaoming;  Jiang, Tianhua
收藏  |  浏览/下载：25/0  |  提交时间：2023/11/17
intelligent transportation system  hierarchical multi-objective optimization  driving speed decision-making  dedicated bus  Lagrangian multiplier method  
MSFANet: A Light Weight Object Detector Based on Context Aggregation and Attention Mechanism for Autonomous Mining Truck 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2285-2295
作者:  Song, Ruiqi;  Ai, Yunfeng;  Tian, Bin;  Chen, Long;  Zhu, Fenghua;  Yao, Fei
收藏  |  浏览/下载：41/0  |  提交时间：2023/11/17
Feature extraction  Object detection  Autonomous vehicles  Task analysis  Detectors  Semantics  Real-time systems  feature fusion  object detection  surface mine  
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：141/0  |  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：242/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：353/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Empirical Learning of Decision Parameters for Agent-Based Model 会议论文
, Macau, China, 2022
作者:  Song B(宋冰);  Xiong G(熊刚);  Zhu F（朱凤华）;  Wu X（武许可）;  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1359Kb)  |  收藏  |  浏览/下载：118/44  |  提交时间：2023/06/26
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：98/19  |  提交时间：2023/06/26