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检索条件"主题词=3D semantic segmentation"
99 条 记 录,以下是91-100 订阅
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2d-3d scene understanding for autonomous driving: Compréhension 2d-3d de scènes pour la conduite autonome
2D-3D scene understanding for autonomous driving: Compréhen...
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作者: Jaritz, Maximilian Paris Sciences et Lettres
学位级别:博士
dans cette th32;se, nous abordons les d33;fis de la raret33; des annotations et la fusion de donn33;es h33;t33;rog32;nes tels que les nuages de points 3d et images 2d. d’abord, nous adoptons une ... 详细信息
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Review of LidAR-Image Sensor Fusion Methods in 3d Object detection and the Experiment of Camera-LidAR Fusion in Autonomous driving
Review of LiDAR-Image Sensor Fusion Methods in 3D Object Det...
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作者: Tufekci, Zeynep Northeastern University
学位级别:M.S., Master of Science/Master of Surgery
In Autonomous driving, the LidAR sensor has great importance to catch 3d shapes and visualize the environment around cars. These cars have also mounted camera systems calibrated with LidAR sensors. These camera system... 详细信息
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Multi-scale learnable key-channel attention network for point cloud classification and segmentation
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APPLIEd SOFT COMPUTING 2024年 159卷
作者: Zhao, Jie Liu, Yian Wu, Bin Tianjin Chengjian Univ Sch Comp & Informat Engn Tianjin 300384 Peoples R China
The 3d point cloud, a common format of 3d data, finds extensive applications in fields like remote sensing, surveying, robotics, and more. Addressing the challenges posed by insufficient weighted feature information a... 详细信息
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Attention-guided LidAR segmentation and odometry using image-to-point cloud saliency transfer
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MULTIMEdIA SYSTEMS 2024年 第4期30卷 188-188页
作者: ding, Guanqun Imamoglu, Nevrez Caglayan, Ali Murakawa, Masahiro Nakamura, Ryosuke Univ Tsukuba Grad Sch Sci & Technol Tsukuba Ibaraki 3058577 Japan Natl Inst Adv Ind Sci & Technol Digital Architecture Res Ctr DigiARC Tokyo 1350064 Japan Natl Inst Adv Ind Sci & Technol CNRS AIST Joint Robot Lab JRL Tsukuba Ibaraki 3058560 Japan Natl Inst Adv Ind Sci & Technol Artificial Intelligence Res Ctr AIRC Tokyo 1350064 Japan
LidAR odometry estimation and 3d semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However, these tasks are challenging due to the imbalance of points in differ... 详细信息
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Automated bridge component recognition using close-range images from unmanned aerial vehicles
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ENGINEERING STRUCTURES 2023年 274卷 1页
作者: Kim, Hyunjun Narazaki, Yasutaka Spencer Jr, Billie F. Seoul Natl Univ Sci & Technol Dept Civil Engn Seoul 01811 South Korea Zhejiang Univ Univ Illinois Urbana Champaign Inst Haining 314400 Peoples R China Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA
Unmanned aerial vehicles (UAVs), in conjunction with computer vision techniques, have shown great potential for bridge inspections. Close-range images captured in proximity to the structural surface are generally requ... 详细信息
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3d reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network
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AUTOMATION IN CONSTRUCTION 2023年 156卷
作者: Kim, Juhyeon Kim, Jeehoon Kim, Yohan Kim, Hyoungkwan Yonsei Univ Sch Civil & Environm Engn Seoul South Korea
Falls from scaffolds cause the majority of accidents and fatalities at construction sites. A deep learning-based 3d reconstruction technology could provide a solution to prevent such fatalities through automated scaff... 详细信息
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A fast end-to-end method for automatic interior progress evaluation using panoramic images
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第PartA期126卷
作者: Fang, Xin Li, Heng Wu, Haitao Fan, Lang Kong, Ting Wu, Yue Hong Kong Polytech Univ Dept Bldg & Real Estate Hung Hom Kowloon Hong Kong 999077 Peoples R China
Interior construction makes up a large portion of project budget and time and is more prone to schedule delays. Most research efforts on progress management focus on exterior environment, while few on interior constru... 详细信息
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deep learning-based 3d reconstruction of scaffolds using a robot dog
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AUTOMATION IN CONSTRUCTION 2022年 第0期134卷 104092-104092页
作者: Kim, Juhyeon Chung, duho Kim, Yohan Kim, Hyoungkwan Yonsei Univ Sch Civil & Environm Engn Seoul South Korea
Although a scaffold is an essential structure in the construction industry, it may also be a dangerous factor that causes fatalities. However, the process of monitoring the scaffold is labor-intensive because it is co... 详细信息
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GLSNet: Global and Local Streams Network for 3d Point Cloud Classification
GLSNet: Global and Local Streams Network for 3D Point Cloud ...
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Applied Imagery Pattern Recognition Workshop (AIPR)
作者: Rina Bao Kannappan Palaniappan Yunxin Zhao Guna Seetharaman Wenjun Zeng Dept. of Electrical Engineering and Computer Science University of Missouri Columbia MO USA Naval Research Laboratory Washington D.C. USA
We propose a novel deep architecture for semantic labeling of 3d point clouds referred to as Global and Local Streams Network (GLSNet) which is designed to capture both global and local structures and contextual infor... 详细信息
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