Xiao-Hui Wu - IEEE Xplore Author Profile

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Author details

Xiao-Hui Wu

Also published under: Xiaohui Wu

Publications

6

Citations

45

Publications by Year

20192024

Co-Authors:

Hongyinping FengBao-Zhu GuoJun-Min Wang

Xiao-Hui Wu

Also published under: Xiaohui Wu

Affiliation

School of Mathematics and Statistics

Shanxi University

Taiyuan, Shanxi

Publication Topics

Closed-loop System,
Exponential Stability,
State Space,
Internal Model,
Numerical Simulations,
Partial Differential Equations,
Wave Equation,
Adaptive Control,
Adaptive Method,
Auxiliary System,
Backstepping Method,
Dynamic Compensation

Biography

Xiao-Hui Wu received the B.Sc. degree in mathematics from Shanxi University, Taiyuan, Shanxi, China, in 2014, and is currently working toward the Ph.D. degree with Shanxi University, Taiyuan, Shanxi, China.,His current research interests include distributed parameter systems control.(Based on document published on 26 August 2019).

Publications

6

Citations

45

Publications by Year

20192024

Co-Authors:

Hongyinping Feng
Bao-Zhu Guo
Jun-Min Wang

Author's Published Works

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Showing 1-8 of 8 results

Conferences (7)

Journals (1)

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Jianlin Tang(8)
Yunfeng Ai(6)
Bin Tian(3)
Liangcai Ren(3)
Bin Zhao(2)
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China(4)
Institute of Automation, Chinese Academy of Sciences, Beijing, China(2)
Jiangsu XCMG Construction Machinery Research Institute LTD., Xuzhou, China(1)
Jiangsu XCMG Construction, Machinery Research Institute LTD, Xuzhou, China(1)
School of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West Waterloo, ON, Canada(1)
2018 IEEE Intelligent Vehicles Symposium (IV)(1)
2019 Chinese Automation Congress (CAC)(1)
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)(1)
2019 IEEE Intelligent Transportation Systems Conference (ITSC)(1)
2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)(1)
IEEE(8)
Auckland, New Zealand(1)
Beijing, China(1)
Changshu, China(1)
Hangzhou, China(1)
Nanjing, China(1)
Point Cloud(4)
Point Cloud Data(4)
Coordinate System(3)
Ground Points(3)
Coal Mine(2)

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An Architecture and Key Technologies of Autonomous Truck Dispatching System in Open-pit Mines

Jianlin Tang;Bin Zhao;Chao Yang;Changcheng Zhou;Shichao Chen;Xiaochun Ni;Yunfeng Ai

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Dispatching system plays an important role in intelligent mines, and the current research on the dispatching system is mainly aimed at manned vehicles. In the new scenario of unmanned transportation in open-pit mines, traditional dispatching systems are not fully appropriate. To meet the requirements of the unmanned transportation in open-pit mines, a new dispatching system framework being suitabl...Show More

An Architecture and Key Technologies of Autonomous Truck Dispatching System in Open-pit Mines

Jianlin Tang;Bin Zhao;Chao Yang;Changcheng Zhou;Shichao Chen;Xiaochun Ni;Yunfeng Ai

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)

Year: 2022 | Conference Paper |

Map fusion algorithm for multi-unmanned systems in GNSS-denied environment

Jianlin Tang;Liangcai Ren;Shengnan Que;Jin Wang

2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)

Year: 2022 | Conference Paper |

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The collaborative mapping of multiple-unmanned systems has been widely used in many fields such as national defense, digital mines, and smart cities. As a positioning device that unmanned systems rely heavily on in outdoor environments, intermittent denial of INS/GNSS will occur, which affects the positioning accuracy of unmanned systems and the accuracy of mapping. This paper proposes a multi-unm...Show More

Map fusion algorithm for multi-unmanned systems in GNSS-denied environment

Jianlin Tang;Liangcai Ren;Shengnan Que;Jin Wang

2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)

Year: 2022 | Conference Paper |

Improved Vehicle LiDAR Calibration With Trajectory-Based Hand-Eye Method

Xuan Yuwen;Long Chen;Fengjun Yan;Hui Zhang;Jianlin Tang;Bin Tian;Yunfeng Ai

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

Cited by: Papers (22)

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In unmanned vehicles, LiDARs and GPS/INSs are the most popular sensors to achieve perception and positioning. Precise calibration of the extrinsic parameters between the LiDAR and the GPS/INS is necessary for a successful implementation of sensor fusion. The extrinsic transformation between the LiDAR and GPS/INS is 6D ( $x$ , $y$ , $z$ , $yaw$ , $pitch$ , $roll$ ), but the motion of a vehicle...Show More

Improved Vehicle LiDAR Calibration With Trajectory-Based Hand-Eye Method

Xuan Yuwen;Long Chen;Fengjun Yan;Hui Zhang;Jianlin Tang;Bin Tian;Yunfeng Ai

IEEE Transactions on Intelligent Transportation Systems

Year: 2022 | Volume: 23, Issue: 1 | Journal Article |

An Improved Cloth Simulation Filtering Algorithm Based on Mining Point Cloud

Liangcai Ren;Jianlin Tang;Chenglin Cui;Ruiqi Song;Yunfeng Ai

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)

Year: 2021 | Conference Paper |

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Detection based on LIDAR point cloud data is an important step of unmanned driving perception system. The ground points, in the complex bumpy, are easily mistakenly detected as the ground object points mining area road by the traditional filtering algorithm. In order to ensure the normal operation of unmanned driving in the mining area, this paper proposes an improved cloth simulation filtering al...Show More

An Improved Cloth Simulation Filtering Algorithm Based on Mining Point Cloud

Liangcai Ren;Jianlin Tang;Chenglin Cui;Ruiqi Song;Yunfeng Ai

2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)

Year: 2021 | Conference Paper |

Improvement of End-to-end Automatic Driving Algorithm Based on Reinforcement Learning

Jianlin Tang;Lingyun Li;Yunfeng Ai;Bin Zhao;Liangcai Ren;Bin Tian

2019 Chinese Automation Congress (CAC)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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The end-to-end model is an important research direction in the field of automatic driving. Reinforcement learning is a common policy for training end-to-end models. Because the Deep Deterministic Policy Gradient algorithm can solve the problem of continuous motion space, it is a good method to deal with the problem of automatic driving. However, the Deep Deterministic Policy Gradient algorithm use...Show More

Improvement of End-to-end Automatic Driving Algorithm Based on Reinforcement Learning

Jianlin Tang;Lingyun Li;Yunfeng Ai;Bin Zhao;Liangcai Ren;Bin Tian

2019 Chinese Automation Congress (CAC)

Year: 2019 | Conference Paper |

Road Detection for autonomous truck in mine environment

Jianlin Tang;Xiaowei Lu;Yunfeng Ai;Bin Tian;Long Chen

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Year: 2019 | Conference Paper |

Cited by: Papers (10)

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Road boundary line detection provides information of safe driving range and ensures the safety of the vehicles, which is an important part in the sensing system. Due to the mine roads are complicated and the road boundary lines are blurred, the existing road detection methods are not applicable.In this paper, a real-time road boundary detection algorithm is proposed based on Lidar sensors. For the...Show More

Road Detection for autonomous truck in mine environment

Jianlin Tang;Xiaowei Lu;Yunfeng Ai;Bin Tian;Long Chen

2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Year: 2019 | Conference Paper |

Real-time Display Method for Mining Vehicle Simulation based on Virtual reality

Jianlin Tang;Yu Gao;Huilong Yu;Yile Wang;Yunfeng Ai;Dongpu Cao

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

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Mining vehicles are of high importance in the transportation industry, and autonomous mining vehicles have a great need in the coal mining industry. For autonomous mining vehicle testing, testing at the field test site is costly, time consuming, and extremely dangerous. This paper proposes a real-time display method of mining vehicle results based on virtual reality. The method design can display ...Show More

Real-time Display Method for Mining Vehicle Simulation based on Virtual reality

Jianlin Tang;Yu Gao;Huilong Yu;Yile Wang;Yunfeng Ai;Dongpu Cao

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

Year: 2019 | Conference Paper |

End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning

Yang Xing;Jianlin Tang;Hong Liu;Chen Lv;Dongpu Cao;Efstathios Velenis;Fei-Yue Wang

2018 IEEE Intelligent Vehicles Symposium (IV)

Year: 2018 | Conference Paper |

Cited by: Papers (29)

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Drivers' decision and their corresponding behaviors are important aspects that can affect the driving safety, and it is necessary to understand the driver behaviors in real-time. In this study, an end-to-end driving-related tasks recognition system is proposed. Specifically, seven common driving activities are identified, which are normal driving, right mirror checking, rear mirror checking, left ...Show More

End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning

Yang Xing;Jianlin Tang;Hong Liu;Chen Lv;Dongpu Cao;Efstathios Velenis;Fei-Yue Wang

2018 IEEE Intelligent Vehicles Symposium (IV)

Year: 2018 | Conference Paper |

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