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检索条件"主题词=Deep Learning for Visual Perception"
436 条 记 录,以下是91-100 订阅
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Robot Grasp in Cluttered Scene Using a Multi-Stage deep learning Model
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第7期9卷 6512-6519页
作者: Wei, Dujia Cao, Jianmin Gu, Ye Shenzhen Technol Univ Coll Big Data & Internet Shenzhen 518118 Peoples R China
Object grasping in cluttered scene is a practical robotic skill which has a wide range of applications. In this paper, we propose a novel maximum graspness metric which can help extract high-quality scene grasp points... 详细信息
来源: 评论
Panoptic Vision-Language Feature Fields
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第3期9卷 2144-2151页
作者: Chen, Haoran Blomqvist, Kenneth Milano, Francesco Siegwart, Roland Swiss Fed Inst Technol Autonomous Syst Lab CH-8092 Zurich Switzerland
Recently, methods have been proposed for 3D open-vocabulary semantic segmentation. Such methods are able to segment scenes into arbitrary classes based on text descriptions provided during runtime. In this letter, we ... 详细信息
来源: 评论
Toward Robust Keypoint Detection and Tracking: A Fusion Approach With Event-Aligned Image Features
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第9期9卷 8059-8066页
作者: Wang, Xiangyuan Yu, Huai Yu, Lei Yang, Wen Xia, Gui-Song Wuhan Univ Sch Elect Informat Wuhan 430072 Peoples R China Wuhan Univ Sch Comp Sci Wuhan 430072 Peoples R China
Robust keypoint detection and tracking are crucial for various robotic tasks. However, conventional cameras struggle under rapid motion and lighting changes, hindering local and edge feature extraction essential for k... 详细信息
来源: 评论
Camera-Based Online Vectorized HD Map Construction With Incomplete Observation
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第7期9卷 6456-6463页
作者: Liu, Hui Chang, Faliang Liu, Chunsheng Lu, Yansha Liu, Minhang Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China
Camera-based online map construction focuses on learning map elements from surround-view images. Distinguished with previous methods that rely on complete observations, we explore a new map construction problem under ... 详细信息
来源: 评论
Panoptic Out-of-Distribution Segmentation
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第5期9卷 4075-4082页
作者: Mohan, Rohit Kumaraswamy, Kiran Hurtado, Juana Valeria Petek, Kursat Valada, Abhinav Univ Freiburg Dept Comp Sci D-79110 Freiburg Germany
deep learning has led to remarkable strides in scene understanding with panoptic segmentation emerging as a key holistic scene interpretation task. However, the performance of panoptic segmentation is severely impacte... 详细信息
来源: 评论
learning the Ego-Motion of an Underwater Imaging Sonar: A Comparative Experimental Evaluation of Novel CNN and RCNN Approaches
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第3期9卷 2072-2079页
作者: Munoz, Bastian Troni, Giancarlo Pontificia Univ Catolica Chile Dept Mech & Met Engn Santiago 8320165 Chile Monterey Bay Aquarium Res Inst Moss Landing CA 95039 USA
This research addresses the challenge of estimating the ego-motion of a forward-looking sonar (FLS) through deep neural networks (DNNs) and their application in autonomous underwater robots. Over the last two decades,... 详细信息
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Generalized Synchronized Active learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第10期9卷 8659-8666页
作者: Schmidt, Sebastian Stappen, Lukas Schwinn, Leo Gunnemann, Stephan Tech Univ Munich TUM Sch Computat Informat & Technol D-80333 Munich Germany BMW Grp D-80809 Munich Germany
In mobile robotics, perception in uncontrolled environments like autonomous driving is a central hurdle. Existing active learning frameworks can help enhance perception by efficiently selecting data samples for labeli... 详细信息
来源: 评论
GeoCluster: Enhancing visual Place Recognition in Spatial Domain on Aerial Vehicle Platforms
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第3期9卷 3013-3020页
作者: Chen, Chao He, Mengfan Wang, Jun Meng, Ziyang Beijing Univ Chem Technol Coll Informat Sci &Technol Beijing 100029 Peoples R China Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China
visual Place Recognition (VPR) is a critical technology for achieving robust long-term visual geo-localization. During the past few years, VPR research mainly focused on ground-based platforms in the street-level capt... 详细信息
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Leveraging Map Retrieval and Alignment for Robust UAV visual Geo-Localization
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024年 73卷 1页
作者: He, Mengfan Liu, Jiacheng Gu, Pengfei Meng, Ziyang Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China Unmanned Aerial Vehicle Lab Beijing 100012 Peoples R China
The autonomous flight of unmanned aerial vehicles (UAVs) relies on a precise and robust geo-localization system. A visual geo-localization system registers the aerial captured image to a geo-referenced satellite map, ... 详细信息
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Unbounded-GS: Extending 3D Gaussian Splatting With Hybrid Representation for Unbounded Large-Scale Scene Reconstruction
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IEEE ROBOTICS AND AUTOMATION LETTERS 2024年 第12期9卷 11529-11536页
作者: Li, Wanzhang Yin, Fukun Liu, Wen Yang, Yiying Chen, Xin Jiang, Biao Yu, Gang Fan, Jiayuan Fudan Univ Sch Informat Sci & Technol Shanghai 200433 Peoples R China Platform & Content Grp PCG Tencent Shenzhen 200030 Peoples R China Fudan Univ Acad Engn & Technol Shanghai 200433 Peoples R China
Modeling large-scale scenes from multi-view images is challenging due to the trade-off dilemma between visual quality and computational cost. Existing NeRF-based methods have made advancements in neural implicit repre... 详细信息
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