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FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion 期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 卷号: 208, 页码: 18
作者:  Teng, Siyu;  Li, Luxi;  Li, Yuchen;  Hu, Xuemin;  Li, Lingxi;  Ai, Yunfeng;  Chen, Long
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/26
Autonomous driving  Motion planning  Simulation  Multi-task  Multi-sensor  
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：5/0  |  提交时间：2024/03/26
Reinforcement learning  Curriculum learning  Vehicle dispatching  Network optimization  
Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 11
作者:  Long, Bin;  Zhang, Haoyan;  Zhang, Han;  Chen, Wen;  Sun, Yang;  Tang, Rui;  Lin, Yuxuan;  Fu, Qiang;  Yang, Xin;  Cui, Ligang;  Wang, Kun
收藏  |  浏览/下载：58/0  |  提交时间：2023/12/21
Superficial soft-tissue masses  Deep learning model  Ultrasound  Diagnosis  Computer-assisted diagnosis  
An Improved Strategy for Active Visual Odometry Based on Robust Adaptive Unscented Kalman Filter 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 页码: 10
作者:  Yuwen, Xuan;  Chen, Lu;  Chen, Long;  Zhang, Hui
收藏  |  浏览/下载：23/0  |  提交时间：2023/12/21
Active simultaneous localization and mapping (SLAM)  outlier detection and correction  robust adaptive unscented Kalman filter (RAUKF)  visual odometry (VO)  
On Intelligent Mining With Parallel Intelligence 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300
作者:  Yang, Jianjian;  Huang, Qiankun;  Ge, Shirong;  Wang, Xiao;  Chen, Long;  Guo, Yinan;  Gui, Tianmu
收藏  |  浏览/下载：15/0  |  提交时间：2024/02/22
Data mining  Artificial intelligence  Task analysis  Industries  Production  Biology  Collaboration  Green mining  Industry 5.0  intelligent mining using parallel intelligence  Mining 5.0  mining MAPeM model  
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：17/0  |  提交时间：2024/02/22
Mining industry  autonomous automobiles  intelligent vehicles  
Knowledge-Embedded Mutual Guidance for Visual Reasoning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 13
作者:  Zheng, Wenbo;  Yan, Lan;  Chen, Long;  Li, Qiang;  Wang, Fei-Yue
收藏  |  浏览/下载：92/0  |  提交时间：2023/11/16
Attention model  joint learning  knowledge embedding  visual reasoning  
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  
Milestones in Autonomous Driving and Intelligent Vehicles-Part II: Perception and Planning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 15
作者:  Chen, Long;  Teng, Siyu;  Li, Bai;  Na, Xiaoxiang;  Li, Yuchen;  Li, Zixuan;  Wang, Jinjun;  Cao, Dongpu;  Zheng, Nanning;  Wang, Fei-Yue
收藏  |  浏览/下载：93/0  |  提交时间：2023/11/17
Autonomous driving (AD)  communication  con-trol  high-definition map (HD map)  human behaviors  intelligent vehicles (IVs)  perception  planning  survey of surveys (SoS)  system design  testing  
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：91/0  |  提交时间：2023/11/17
Motion planning  pipeline planning  end-to-end planning  imitation learning  reinforcement learning  parallel learning