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• 自动化研究所 [37]
• 动物研究所 [6]
• 地理科学与资源研究所 [1]
• 化学研究所 [1]
• 高能物理研究所 [1]
• 生态环境研究中心 [1]
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采集方式

• OAI收割 [47]

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• 期刊论文 [24]
• 会议论文 [22]
• 专著章节/文集论文 [1]

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• 2024 [3]
• 2023 [3]
• 2022 [4]
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浏览/检索结果: 共47条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning 会议论文  OAI收割 Jeju, Korea, Jun. 02-05, 2024 作者:  Yijia Li;  Hao Qi;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/06/06 Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13 作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Xiong, Gang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/07/03 Mobility-on-demand system  vehicle repositioning  hierarchical graph reinforcement learning  auxiliary graph reinforcement learning   AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 2, 页码: 3811-3826 作者:  Liu, Ryan Wen;  Lu, Yuxu;  Guo, Yu;  Ren, Wenqi;  Zhu, Fenghua   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/09 Meteorology  Imaging  Navigation  Marine vehicles  Feature extraction  Visual perception  Snow  Deep neural network  intelligent marine vehicles  low-visibility enhancement  severe weather  visual perception   Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705 作者:  Ye, Peijun;  Qi, Hao;  Zhu, Fenghua;  Lv, Yisheng   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/26 Safe driving  reinforcement learning  counter factual reasoning  evolutionary search   Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：23/0  |  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  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14 作者:  Guo, Yu;  Liu, Ryan Wen   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/11/17 Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion   Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder 会议论文  OAI收割 Macau, China, Oct. 08-12, 2022 作者:  Peijun Ye;  Fenghua Zhu;  Yisheng Lv;  Xiao Wang;  Yuanyuan Chen   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/06/03 Agent-Based Model  Calibration   PAT: Point Cloud Analysis with Local Filter Embedding in Transformer 会议论文  OAI收割 Macau, China, October 8-12, 2022 作者:  Xi Li;  Siqi Fan;  Yuanyuan Chen,;  Yuliang Liu,;  Shichao Chen,   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/05/05 HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/09/19 Reinforcement learning  Pricing  Heuristic algorithms  Supply and demand  Surges  Vehicle dynamics  Vehicles  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  OAI收割 Transportation Research Part C, 2022, 期号: 99, 页码: 1-1 作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu   |  收藏  |  浏览/下载：56/0  |  提交时间：2022/04/08 Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning