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检索条件"机构=the National Engineering Laboratory for Robot Visual Perception and Control Technology"
189 条 记 录,以下是151-160 订阅
排序:
Memory-augment convolutional Autoencoder for unsupervised pavement crack classification
Memory-augment convolutional Autoencoder for unsupervised pa...
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Chinese Automation Congress (CAC)
作者: Tianyue Wu Hui Zhang Jiaxuan Liu Yurong Chen Junfei Yi Zouquan Zhang School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China School of Robotics also with Visual Perception and Control Technology National Engineering Laboratory Hunan University Changsha China School of Electrical and Information Engineering Hunan University Changsha China
In urban construction, transportation system is an important part. However, the pavement cracks will occur because of using in long time and some external force collision, which has impacts on the safety and reliabili... 详细信息
来源: 评论
A Muti-stage Selection Filter Based on Wavelet Packet and 2DCNN for Fault Diagnosis of Rotating Machinery
A Muti-stage Selection Filter Based on Wavelet Packet and 2D...
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Chinese control Conference (CCC)
作者: Wenbin He Jianxu Mao Li Liu Zhe Li Miao Yang Yaonan Wang College of Electrical and Information Engineering Hunan University Changsha China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha China State Grid Hunan Electric Power Company Limited Research Institute Changsha China
Fault information of rotating machinery is often drowned in strong noise signals, so it is crucial to accurately identify faults from high-intensity noise signals. In this article, an end-to-end fault diagnosis model ...
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
Domain-invariant Prototypes for Semantic Segmentation
arXiv
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arXiv 2022年
作者: Yang, Zhengeng Yu, Hongshan Sun, Wei Li-Cheng Mian, Ajmal The National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University Lushan South Rd. Yuelu410082 China The Department of Electrical and Computer Engineering University of Alberta EdmontonAB Canada The Department of Computer Science The University of Western Australia PerthWA6009 Australia
Deep Learning has greatly advanced the performance of semantic segmentation, however, its success relies on the availability of large amounts of annotated data for training. Hence, many efforts have been devoted to do... 详细信息
来源: 评论
Towards Consistent Object Detection via LiDAR-Camera Synergy
arXiv
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arXiv 2024年
作者: Luo, Kai Wu, Hao Yi, Kefu Yang, Kailun Hao, Wei Hu, Rongdong School of Traffic and Transportation Engineering Changsha University of Science and Technology China College of Automotive and Mechanical Engineering Changsha University of Science and Technology China School of Robotics Hunan University China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China Changsha Intelligent Driving Institute China
As human-machine interaction continues to evolve, the capacity for environmental perception is becoming increasingly crucial. Integrating the two most common types of sensory data, images, and point clouds, can enhanc... 详细信息
来源: 评论
Towards Consistent Object Detection via LiDAR-Camera Synergy
Towards Consistent Object Detection via LiDAR-Camera Synergy
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IEEE International Conference on Systems, Man and Cybernetics
作者: Kai Luo Hao Wu Kefu Yi Kailun Yang Wei Hao Rongdong Hu College of Automotive and Mechanical Engineering Changsha University of Science and Technology China School of Traffic and Transportation Engineering Changsha University of Science and Technology China School of Robotics Hunan University China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China Changsha Intelligent Driving Institute China
As human-machine interaction continues to evolve, the capacity for environmental perception is becoming increasingly crucial. Integrating the two most common types of sensory data, images, and point clouds, can enhanc... 详细信息
来源: 评论
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
arXiv
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arXiv 2024年
作者: He, Yong Yu, Hongshan Ibrahim, Muhammad Liu, Xiaoyan Chen, Tongjia Ulhaq, Anwaar Mian, Ajmal The National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University Lushan South Rd. Yuelu Dist. Changsha410082 China The Department of Computer Science The University of Western Australia WA6009 Australia Central Queensland University Sydney Campus Australia
Point cloud processing methods leverage local and global point features to cater to downstream tasks, yet they often overlook the task-level context inherent in point clouds during the encoding stage. We argue that in... 详细信息
来源: 评论
LF-PGVIO: A visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
arXiv
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arXiv 2023年
作者: Wang, Ze Yang, Kailun Shi, Hao Zhang, Yufan Xu, Zhijie Gao, Fei Wang, Kaiwei The State Key Laboratory of Extreme Photonics and Instrumentation The National Engineering Research Center of Optical Instrumentation Zhejiang University Hangzhou310027 China The School of Robotics The National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China The School of Computing and Engineering University of Huddersfield HuddersfieldHD1 3DH United Kingdom The State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China
In this paper, we propose LF-PGVIO, a visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. The purpose of our research is to unleash ... 详细信息
来源: 评论
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds
arXiv
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arXiv 2023年
作者: He, Yong Yu, Hongshan Yang, Zhengeng Sun, Wei Feng, Mingtao Mian, Ajmal The National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University Lushan South Rd. Yuelu Dist. Changsha410082 China The School of Computer Science and Technology Xidian University Xi’an710071 China The Department of Computer Science The University of Western Australia PerthWA6009 Australia
Local features and contextual dependencies are crucial for 3D point cloud analysis. Many works have been devoted to designing better local convolutional kernels that exploit the contextual dependencies. However, curre... 详细信息
来源: 评论
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
arXiv
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arXiv 2023年
作者: Yi, Zhonghua Shi, Hao Yang, Kailun Jiang, Qi Ye, Yaozu Wang, Ze Ni, Huajian Wang, Kaiwei The State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China 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 Company Ltd. Shanghai201210 China
Key-point-based scene understanding is fundamental for autonomous driving applications. At the same time, optical flow plays an important role in many vision tasks. However, due to the implicit bias of equal attention... 详细信息
来源: 评论