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检索条件"机构=National Engineering Laboratory of Robot Vision Perception and Control Technology"
121 条 记 录,以下是91-100 订阅
排序:
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
arXiv
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arXiv 2023年
作者: Shi, Hao Pang, Chengshan Zhang, Jiaming Yang, Kailun Wu, Yuhao Ni, Huajian Lin, Yining Stiefelhagen, Rainer Wang, Kaiwei The State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China The Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe76131 Germany The Department of Engineering Science University of Oxford OxfordOX1 3PJ United Kingdom The School of Robotics Hunan University Changsha410012 China The National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China Shanghai SUPREMIND Technology Co. Ltd. Shanghai201210 China
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehicles and enhances road safety. While ... 详细信息
来源: 评论
TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
arXiv
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arXiv 2022年
作者: Liu, Ruiping Yang, Kailun Roitberg, Alina Zhang, Jiaming Peng, Kunyu Liu, Huayao Wang, Yaonan Stiefelhagen, Rainer The Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe76131 Germany The School of Robotics The National Engineering Laboratory of Robot Visual Perception and Control Technology Hunan University Changsha410082 China The Institute for Artificial Intelligence The University of Stuttgart Stuttgart70569 Germany The Institute for Visual Computing ETH Zurich Zurich8092 Switzerland NIO Shanghai201804 China
Semantic segmentation benchmarks in the realm of autonomous driving are dominated by large pre-trained transformers, yet their widespread adoption is impeded by substantial computational costs and prolonged training d... 详细信息
来源: 评论
Learning compliant grasping and manipulation by teleoperation with adaptive force control
arXiv
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arXiv 2021年
作者: Zeng, Chao Li, Shuang Jiang, Yiming Li, Qiang Chen, Zhaopeng Yang, Chenguang Zhang, Jianwei Department of Informatics Universiẗat Hamburg Germany National Engineering Laboratory for Robot Visual Perception and Control Hunan University China Center for Cognitive Interaction Technology Bielefeld University Germany Bristol Robotics Laboratory University of the West of England United Kingdom
In this work, we focus on improving the robot's dexterous capability by exploiting visual sensing and adaptive force control. TeachNet, a vision-based teleoperation learning framework, is exploited to map human ha... 详细信息
来源: 评论
Cleaning robot Operation Decision Based on Causal Reasoning and Attribute Learning*
Cleaning Robot Operation Decision Based on Causal Reasoning ...
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2020 IEEE/RSJ International Conference on Intelligent robots and Systems (IROS)
作者: Yapeng Li Dongbo Zhang Feng Yin Ying Zhang Institute of Automation and Electronic Information Xiangtan University Xiangtan China Institute of National Engineering Laboratory of Robot Vision Perception and Control Technology Xiangtan University Xiangtan China
In order to improve the operation ability of cleaning robots, this paper proposes a decision method for cleaning robot's operation mode. Firstly, we use the hierarchical expression ability of deep network to obtai... 详细信息
来源: 评论
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
arXiv
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arXiv 2024年
作者: Liu, Jian Sun, Wei Yang, Hui Zeng, Zhiwen Liu, Chongpei Zheng, Jin Liu, Xingyu Rahmani, Hossein Sebe, Nicu Mian, Ajmal The National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China The School of Architecture and Art Central South University Changsha410082 China The Department of Automation Tsinghua University Beijing100084 China The School of Computing and Communications Lancaster University LA1 4YW United Kingdom The Department of Information Engineering and Computer Science University of Trento Trento38123 Italy The Department of Computer Science The University of Western Australia WA6009 Australia
Object pose estimation is a fundamental computer vision problem with broad applications in augmented reality and robotics. Over the past decade, deep learning models, due to their superior accuracy and robustness, hav... 详细信息
来源: 评论
Edge-Computing-Driven Autonomous Ubiquitous Internet of Things in Electricity: Architecture and Challenges  3
Edge-Computing-Driven Autonomous Ubiquitous Internet of Thin...
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3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019
作者: Liu, Dongqi Zeng, Xiangjun Wang, Yaonan Changsha Unviersity of Science and Technology Changsha China National Engineering Laboratory for Robot Visual Perception and Control Technology Changsha China
The distribution network is developing towards the direction of Internet of Things in Electricity(IoTE). As an emerging technology of the Internet of Things(IoT), edge computing has great application potential in the ... 详细信息
来源: 评论
Model-free design of stochastic lqr controller from reinforcement learning and primal-dual optimization perspective
arXiv
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arXiv 2021年
作者: Li, Man Qin, Jiahu Zheng, Wei Xing Wang, Yaonan Kang, Yu Department of Automation University of Science and Technology of China Hefei230027 China School of Computing Engineering and Mathematics Western Sydney University SydneyNSW2751 Australia College of Electrical and Information Engineering Hunan University Changsha410082 China National Engineering Laboratory for Robot Visual Perception and Control Technology Changsha410082 China
To further understand the underlying mechanism of various reinforcement learning (RL) algorithms and also to better use the optimization theory to make further progress in RL, many researchers begin to revisit the lin... 详细信息
来源: 评论
Automatic basketball detection in sport video based on R-FCN and soft-NMS  2019
Automatic basketball detection in sport video based on R-FCN...
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4th International Conference on Automation, control and robotics engineering, CACRE 2019
作者: Liang, Qiaokang Mei, Li Wu, Wanneng Sun, Wei Wang, Yaonan Zhang, Dan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing National Engineering Laboratory for Robot Vision Perception and Control Hunan University Changsha410082 China Department of Mechanical Engineering York University TorontoM3J 1P3 Canada
In basketball videos, the ball is always so small in the camera that its appearance feature is hard to be extracted. In this paper, we introduce a deep-learning technology to detect the basketball. Specifically, we tr... 详细信息
来源: 评论
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
arXiv
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arXiv 2020年
作者: Fu, Qiang Wang, Jialong Yu, Hongshan Ali, Islam Guo, Feng He, Yijia Zhang, Hong National Engineering Laboratory for Robot Visual Perception and Control Technology Hunan University China Department of Computing Science University of Alberta Canada Megvii Technology Beijing China
Leveraging line features to improve localization accuracy of point-based visual-inertial SLAM (VINS) is gaining interest as they provide additional constraints on scene structure. However, real-time performance when i... 详细信息
来源: 评论
Online Parameter Estimation For Uncertain robot Manipulators With Fixed-time Convergence
Online Parameter Estimation For Uncertain Robot Manipulators...
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IEEE Conference on Industrial Electronics and Applications (ICIEA)
作者: Chengzhi Zhu Yiming Jiang Chenguang Yang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou China National Engineering Laboratory for Robot Visual Perception and Control Hunan University Changsha China Bristol Robotics Laboratory University of the West of England Bristol UK
For traditional parameter estimation schemes of uncertain robot, most of them were proposed to identify unknown parameter with desired precision, but few of them focused on the convergence time. Recently finite-time e... 详细信息
来源: 评论