夏元清
作者: Chu-ge Wu,Yuanqing Xia (School of Automation,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by National Natural Science Foundation of China under Grant 62203049 2023
会议录: 第42届中国控制会议
关键词: Fog Computing;Internet of Things;Evolutionary Computation;Online Scheduling;Fuzzy Logic;Resource Management
摘要: With the rapid development of the Internet of Things(IoT),a large amount of raw data produced by IoT devices must be processed promptly.However,due to ...
作者: Hao Li,Zigeng Yan,Di-Hua Zhai,Yuanqing Xia (School of Automation,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by National Natural Science Foundation of China under Grant 62173035 and Grant 61803033 2023
会议录: 第42届中国控制会议
关键词: Medical Image Segmentation;Deep Learning;Dense Connection;Efficient Feature Extraction
摘要: The automatic medical image segmentation technology based on deep learning has achieved high accuracy,but there is a dilemma that the parameters are h ...
作者: Zixuan Fan,Jinxian Wu,Li Dai,Yuanqing Xia (School of Automation,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by the National Natural Science Foundation of China under Grant 62122014 and Grant 62173036 2023
会议录: 第42届中国控制会议
关键词: Collision avoidance;lane change;trajectory planning;MINVO basis;mul-ti-objective optimization
摘要: This paper focuses on the problem of collision-free lane change for autonomous vehicles under dynamic obstacle road scenarios and proposes a new traje ...
作者: Yuxin Wang1,2;,Zhongqi Sun1,2;,Yunshan Dang1;,Min Lin1;,Chang Li1;,Yuanqing Xia1; (1School of Automation,Beijing Institute of Technology;2Yangtze Delta Region Academy,Beijing Institute of Technology)
出处: 第42届中国控制会议 supported by the Beijing Municipal Science Foundation under Grant 4222052;by the National Natural Science Foundation (NNSF)of China under Grant 62003040;by Graduate Interdisciplinary Innovation Project of Yangtze Delta Region Academy of Beijing Institute 2023
会议录: 第42届中国控制会议
关键词: Trajectory Planning;Collision Avoidance;Optimal Control;Sequential Convex Programming
摘要: A vehicle trajectory planning strategy for autonomous collision avoidance is proposed in this paper.First,a nonconvex optimization model for vehicle t ...
作者: Zhenyong Pan1,2;,Xia Pan3;,Yufeng Zhan1,2;,Yuanqing Xia2; (1Yangtze Delta Region Academy of Beijing Institute of Technology;2School of Automation, Beijing Institute of Technology;3CATARC Intelligent and connected technology Co.,LTd.)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Personalized Traffic Control;Traffic Signal;Deep Reinforcement Learning
摘要: Traffic signal control is a critical aspect of improving urban traffic efficiency and reducing road accidents. Reinforcement learning(RL) has been app ...
作者: Bikang Hua1;,Kaiyuan Chen2;,Runqi Chai1;,Senchun Chai1;,Yuanqing Xia1;,Wannian Liang2; (1School of Automation,Beijing Institute of Technology;2Vanke School of Public Health,Tsinghua Institute for Healthy China,Tsinghua University)
出处: 第42届中国控制会议 2023
会议录: 第42届中国控制会议
关键词: Connected and automated vehicles(CAVs);Optimal control;Trajectory optimization;Cooperative motion planning;Intersection control
摘要: This paper studies cooperative trajectory planning for multiple connected and automated vehicles(CAVs) traveling from and off multi-lane roads at a si ...
发明人: 夏元清,闫媞锦,龚衡恒,詹玉峰,戴荔,孙中奇,翟弟华,郭泽华,吴楚格,李怡然,邹伟东,崔冰,高润泽,张元,刘坤,高寒,潘振华
申请人: 北京理工大学
申请号: 202310584157.2
申请日期: 2023.05.23
摘要: 本发明公开一种交通流量时空数据预测方法、系统、设备及介质,属于时空数据预测领域。该方法使用时空图神经网络建模多个传感器的交通流量数据的动态空间关系,克服了现有方法无法建模动态空间关系的问题;利用两层神经随机偏微分方程建模交通流量数据的时间依赖关系,将噪声显式得建模出来,并在化简时,通过求解频域中的常 ...
发明人: 吴楚格,张若辰,夏元清,詹玉峰
申请人: 北京理工大学
申请号: 202310510428.X
申请日期: 2023.05.08
摘要: 本发明公开了一种基于遗传算法的电子产品装配线节拍优化方法,针对机器人装配线平衡优化问题,引入遗传算法优在满足优先约束关系的条件下,将装配任务分配到工作站并将执行效率最高的机器人分配到任务,使得装配线的节拍最小化,在保证求解质量的同时有效提高了装配线的节拍的求解效率。
发明人: 翟弟华,牛松宇,夏元清,詹玉峰
申请人: 北京理工大学
申请号: 202310805853.1
申请日期: 2023.07.03
摘要: 本发明公开了一种基于PLSR和扩展FBCCA的脑电信号识别方法,通过将正弦参考模板信号向多通道采样脑电信号回归估计得到脑电估计信号,再将多通道采样脑电信号经过分解后的子带分量与估计信号进行相关分析运算得到子带分量的一组扩展相关系数,由脑电信号不同子带分量对估计信号的一组扩展相关系数得到脑电信号对不同 ...
发明人: 夏元清,高润泽,周彤,詹玉峰,戴荔,孙中奇,翟弟华,张元,刘坤,吴楚格,李怡然,邹伟东,崔冰,杨辰,高寒,郭泽华,闫莉萍,潘振华
申请人: 北京理工大学
申请号: 202310925500.5
申请日期: 2023.07.26
摘要: 本发明公开了一种车辆轨迹跟踪云边协同控制方法,通过建立基于前馈控制、控制障碍函数及控制李雅普诺夫函数的求解过程获取到无人车辆的边缘控制量作为备份控制量,并基于提出的云边协同切换控制策略根据无人车辆接收到的信号确定当前的控制量完成对无人车辆的控制,实现了在云平台或网络出现问题时云端控制与边缘控制的协调 ...