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检索条件"机构=Computer Vision and Robotics Laboratory"
644 条 记 录,以下是191-200 订阅
排序:
RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving  16th
RTM3D: Real-Time Monocular 3D Detection from Object Keypoin...
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16th European Conference on computer vision, ECCV 2020
作者: Li, Peixuan Zhao, Huaici Liu, Pengfei Cao, Feidao Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Key Lab of Image Understanding and Computer Vision ShenyangLiaoning China
In this work, we propose an efficient and accurate monocular 3D detection framework in single shot. Most successful 3D detectors take the projection constraint from the 3D bounding box to the 2D box as an important co... 详细信息
来源: 评论
Multi-camera Torso Pose Estimation using Graph Neural Networks
arXiv
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arXiv 2020年
作者: Rodriguez-Criado, Daniel Bachiller, Pilar Bustos, Pablo Vogiatzis, George Manso, Luis J. School of Engineering and Applied Science Computer Science Department Aston University United Kingdom Robotics and Artificial Vision Laboratory Caceres School of Technology Universidad de Extremadura Spain
Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, multiple RGBD cameras are frequently used... 详细信息
来源: 评论
An improved YOLO V3 for small vehicles detection in aerial images
An improved YOLO V3 for small vehicles detection in aerial i...
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作者: Moran Ju Haibo Luo Zhongbo Wang Shenyang Institute of Automation &Institutes for Robotics and Intelligent Manufacturing & Key Laboratory of Opt-Electronic Information Processing Chinese Academy of Sciences University of Chinese Academy of Sciences The Key Laboratory of Image Understanding and Computer Vision
Small vehicle detection in aerial images is a challenge in computer vision because small vehicles occupy less pixels and the environment around the small vehicles is complex. To improve the detection performance for t... 详细信息
来源: 评论
Self-slimmed vision Transformer
arXiv
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arXiv 2021年
作者: Zong, Zhuofan Li, Kunchang Song, Guanglu Wang, Yali Qiao, Yu Leng, Biao Liu, Yu School of Computer Science and Engineering Beihang University China SenseTime Research China ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China Shanghai AI Laboratory China
vision transformers (ViTs) have become the popular structures and outperformed convolutional neural networks (CNNs) on various vision tasks. However, such powerful transformers bring a huge computation burden, because... 详细信息
来源: 评论
CertainOdom: Uncertainty Weighted Multi-task Learning Model for LiDAR Odometry Estimation
CertainOdom: Uncertainty Weighted Multi-task Learning Model ...
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IEEE International Conference on robotics and Biomimetics
作者: Leyuan Sun Guanqun Ding Yusuke Yoshiyasu Fumio Kanehiro Department of Intelligent and Mechanical Interaction Systems Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan CNRS-AIST Joint Robotics Laboratory (JRL) IRL National Institute of Advanced Industrial Science and Technology (AIST). Digital Architecture Research Center (DARC) National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Japan Computer Vision Research Team Artificial Intelligence Research Center (AIRC) National Institute of Advanced Industrial Science and Technology (AIST) Japan
As a basic and indispensable module, LiDAR odom-etry estimation is widely used in robotics. In recent years, learning-based modeling approaches for odometry estimation have been validated to be feasible. However, it i... 详细信息
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Development of Hard Hat Wearing Monitoring System Using Deep Neural Networks with High Inference Speed
Development of Hard Hat Wearing Monitoring System Using Deep...
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International Russian Automation Conference (RusAutoCon)
作者: Nikolay Filatov Natalia Maltseva Aleksandr Bakhshiev Laboratory of computer vision systems The Russian State Scientific Center for Robotics and Technical Cybernetics Saint-Petersburg Russia Peter the Great St. Petersburg Polytechnic University Saint-Petersburg Russia
Personal protection equipment is essential for safe working conditions on a construction sites and other industrial enterprises. However, there is a number of employee who violate safety precautions, thus, taking addi... 详细信息
来源: 评论
Millimeter-wave radar image analysis for the traffic sensing  2
Millimeter-wave radar image analysis for the traffic sensing
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2nd Spring International Conference on Defence Technology, ICDT 2020
作者: Wu, H.M. Qi, F. Wang, J.K. Wang, Y. School of Communication Science and Engineering Northeastern University Liaoning Province Shenyang110819 China Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences China Key Lab of Image Understanding and Computer Vision Liaoning Province Shenyang110016 China
Millimeter-wave(MMW) radar sensing is one of the most promising technologies to provide safe navigation for autonomous vehicles due to its expected high-resolution imaging capability However, driverless cars have high... 详细信息
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A Novel LOS Rate Estimation Method Based on Images for Strap-down Inertial Guidance  3
A Novel LOS Rate Estimation Method Based on Images for Strap...
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2020 3rd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2020
作者: Xu, Zheng Luo, Haibo Hui, Bin Chang, Zheng Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Science Shenyang110016 China Key Lab of Image Understanding and Computer Vision Shenyang110016 China
With the development of technology, precision guided weapon is becoming more and more important in modern war. In order to launch our recent guidance system on medium and small guided weapons, we propose a method to o... 详细信息
来源: 评论
A learning-based method for online adjustment of C-arm cone-beam CT source trajectories for artifact avoidance
arXiv
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arXiv 2020年
作者: Thies, Mareike Zäch, Jan-Nico Gao, Cong Taylor, Russell Navab, Nassir Maier, Andreas Unberath, Mathias Laboratory for Computational Sensing + Robotics Johns Hopkins University BaltimoreMD United States Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Computer Vision Laboratory Eidgenössische Technische Hochschule Zürich
Purpose: During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomographic imaging is essential. C-... 详细信息
来源: 评论
Camera Exposure Control for Robust Robot vision with Noise-Aware Image Quality Assessment
Camera Exposure Control for Robust Robot Vision with Noise-A...
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2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Ukcheol Shin Jinsun Park Gyumin Shim Francois Rameau In So Kweon Robotics and Computer Vision Laboratory School of Electrical Engineering KAIST Daejeon Republic of Korea
In this paper, we propose a noise-aware exposure control algorithm for robust robot vision. Our method aims to capture best-exposed images, which can boost the performance of various computer vision and robotics tasks...
来源: 评论