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CASIA OpenIR
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Vehicle dynamic dispatching using curriculum-driven reinforcement learning 期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 卷号: 204, 页码: 16
作者:  Zhang, Xiaotong;  Xiong, Gang;  Ai, Yunfeng;  Liu, Kunhua;  Chen, Long
收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26
Reinforcement learning  Curriculum learning  Vehicle dispatching  Network optimization  
Decoupled Real-Time Trajectory Planning for Multiple Autonomous Mining Trucks in Unloading Areas 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4319-4330
作者:  Yang, Qingyuan;  Ai, Yunfeng;  Teng, Siyu;  Gao, Yu;  Cui, Chenglin;  Tian, Bin;  Chen, Long
收藏  |  浏览/下载：35/0  |  提交时间：2024/02/22
Mining industry  autonomous automobiles  intelligent vehicles  
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：103/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning  
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：50/0  |  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  
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 673-683
作者:  Teng, Siyu;  Chen, Long;  Ai, Yunfeng;  Zhou, Yuanye;  Xuanyuan, Zhe;  Hu, Xuemin
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/16
Semantics  Data models  Autonomous vehicles  Cameras  Reinforcement learning  Predictive models  Robustness  Autonomous driving  imitation learning  motion planning  end-to-End driving  interpretability