咨询与建议

限定检索结果

文献类型

  • 120 篇 期刊文献
  • 118 篇 会议
  • 4 册 图书

馆藏范围

  • 242 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 150 篇 工学
    • 96 篇 计算机科学与技术...
    • 85 篇 软件工程
    • 47 篇 控制科学与工程
    • 43 篇 光学工程
    • 36 篇 生物工程
    • 32 篇 信息与通信工程
    • 27 篇 生物医学工程(可授...
    • 17 篇 电气工程
    • 15 篇 电子科学与技术(可...
    • 12 篇 动力工程及工程热...
    • 12 篇 交通运输工程
    • 11 篇 仪器科学与技术
    • 10 篇 机械工程
    • 7 篇 化学工程与技术
    • 6 篇 土木工程
    • 6 篇 安全科学与工程
    • 5 篇 力学(可授工学、理...
  • 94 篇 理学
    • 41 篇 生物学
    • 35 篇 数学
    • 32 篇 物理学
    • 14 篇 统计学(可授理学、...
    • 7 篇 化学
  • 29 篇 管理学
    • 15 篇 管理科学与工程(可...
    • 15 篇 图书情报与档案管...
    • 7 篇 工商管理
  • 20 篇 医学
    • 20 篇 临床医学
    • 19 篇 基础医学(可授医学...
    • 12 篇 药学(可授医学、理...
    • 6 篇 公共卫生与预防医...
  • 8 篇 农学
  • 6 篇 法学
    • 6 篇 社会学
  • 2 篇 经济学
  • 2 篇 教育学
  • 1 篇 艺术学

主题

  • 15 篇 cameras
  • 15 篇 intelligent robo...
  • 12 篇 robot sensing sy...
  • 11 篇 trajectory
  • 11 篇 feature extracti...
  • 11 篇 robot vision sys...
  • 11 篇 computer vision
  • 9 篇 computer science
  • 9 篇 image segmentati...
  • 9 篇 mobile robots
  • 8 篇 pixel
  • 8 篇 image edge detec...
  • 8 篇 robustness
  • 7 篇 object detection
  • 7 篇 artificial intel...
  • 7 篇 robot kinematics
  • 7 篇 training
  • 6 篇 system-on-chip
  • 6 篇 field programmab...
  • 5 篇 robots

机构

  • 14 篇 embedded vision ...
  • 7 篇 embedded vision ...
  • 7 篇 intelligent robo...
  • 6 篇 centre for medic...
  • 6 篇 faculty of mathe...
  • 6 篇 heidelberg
  • 5 篇 computer vision ...
  • 5 篇 ihu strasbourg s...
  • 5 篇 university of ch...
  • 4 篇 computer vision ...
  • 4 篇 heidelberg divis...
  • 4 篇 department of qu...
  • 4 篇 department of co...
  • 4 篇 intelligent robo...
  • 4 篇 heidelberg divis...
  • 4 篇 fraunhofer mevis...
  • 4 篇 shenzhen institu...
  • 4 篇 department of pa...
  • 4 篇 institute of aut...
  • 4 篇 department of in...

作者

  • 24 篇 kryjak tomasz
  • 8 篇 puig domenec
  • 7 篇 bakas spyridon
  • 7 篇 szolc hubert
  • 7 篇 domenec puig
  • 6 篇 reinke annika
  • 6 篇 shen linlin
  • 6 篇 blachut krzyszto...
  • 6 篇 m.a. garcia
  • 5 篇 godau patrick
  • 5 篇 kyrki ville
  • 5 篇 ma jun
  • 5 篇 eisenmann matthi...
  • 5 篇 garcia miguel an...
  • 5 篇 menze bjoern
  • 5 篇 miguel angel gar...
  • 5 篇 maier-hein lena
  • 4 篇 wasala mateusz
  • 4 篇 kozubek michal
  • 4 篇 haase robert

语言

  • 234 篇 英文
  • 7 篇 其他
  • 1 篇 中文
检索条件"机构=Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics"
242 条 记 录,以下是1-10 订阅
排序:
Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA  21st
Real-Time Multi-object Tracking Using YOLOv8 and SORT on a...
收藏 引用
21st International Symposium on Applied Reconfigurable Computing, ARC 2025
作者: Danilowicz, Michal Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Multi-object tracking (MOT) is one of the most important problems in computer vision and a key component of any vision-based perception system used in advanced autonomous mobile robotics. Therefore, its implementation... 详细信息
来源: 评论
FoundationGrasp: Generalizable Task-Oriented Grasping With Foundation Models
收藏 引用
IEEE Transactions on Automation science and Engineering 2025年 22卷 12418-12435页
作者: Tang, Chao Huang, Dehao Dong, Wenlong Xu, Ruinian Zhang, Hong Southern University of Science and Technology Shenzhen Key Laboratory of Robotics and Computer Vision Department of Electronic and Electrical Engineering Shenzhen518055 China Institute for Robotics and Intelligent Machines Georgia Institute of Technology AtlantaGA30332 United States
Task-oriented grasping (TOG), which refers to synthesizing grasps on an object that are configurationally compatible with the downstream manipulation task, is the first milestone towards tool manipulation. Analogous t... 详细信息
来源: 评论
Onboard Perception-Assisted High Fidelity Simulation Framework for Autonomous Planetary Soft-Landing
Onboard Perception-Assisted High Fidelity Simulation Framewo...
收藏 引用
AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025
作者: Alibekov, Ulugbek Banerjee, Avijit Satpute, Sumeet Gajanan Nikolakopoulos, George ERASMUS MUNDUS JOINT MASTER in Intelligent Field Robotic Systems Faculty of Informatics Eötvös Loránd University Budapest Hungary Robotics and AI research group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden
This article presents an onboard perception-assisted high-fidelity simulation framework for autonomous planetary soft-landing, enabling visual information processing tightly integrated with advanced onboard guidance s... 详细信息
来源: 评论
Invisible Servoing: A Visual Servoing Approach with Return-Conditioned Latent Diffusion
Invisible Servoing: A Visual Servoing Approach with Return-C...
收藏 引用
International Conference on Unmanned Aircraft Systems (ICUAS)
作者: Bishoy Gerges Barbara Bazzana Nicolò Botteghi Youssef Aboudorra Antonio Franchi Robotics and Mechatronics group Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede The Netherlands Department of Applied Mathematics University of Twente Enschede The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy
In this paper, we present a novel visual servoing (VS) approach based on latent Denoising Diffusion Probabilistic Models (DDPMs), that explores the application of generative models for vision-based navigation of UAVs ... 详细信息
来源: 评论
Controllable Segmentation-Based Text-Guided Style Editing
arXiv
收藏 引用
arXiv 2025年
作者: Li, Jingwen Chandrasekar, Aravind Rocha, Mariana Li, Chao Chen, Yuqing Department of Computer Science Fudan University China School of AI and Robotics AuroraTech Labs United States Vision Intelligence Group Federal University of Rio de Janeiro Brazil Dept. of Computer Science Eastern Asia Institute of Technology Beijing China
We present a novel approach for controllable, region-specific style editing driven by textual prompts. Building upon the state-space style alignment framework introduced by StyleMamba, our method integrates a semantic... 详细信息
来源: 评论
Towards Designing a Medication Assistive intelligent System with Automated Insulin-dose Prediction for Elderlies
Towards Designing a Medication Assistive Intelligent System ...
收藏 引用
International Conference on Electrical, computer and Communication Engineering (ECCE)
作者: Abrar Ahmed Minhazul Islam Mahi M. Akhtaruzzaman Jamal Uddin Tanvin Fahim Shahryer Sachitra Halder Muhammad Towfiqur Rahman Md Shofiqul Islam Department of Computer Science and Engineering Military Institute of Science and Technology Dhaka Bangladesh Quantum Robotics and Automation Research Group (QRARG) Dhaka Bangladesh Department of Computer Science & Engineering University Asia Pacific (UAP) Dhaka Bangladesh Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University Geelong Victoria
Medication management poses significant challenges for many patients, particularly the elderlies, who often struggle with keeping track of their medication schedules and taking the correct dosages. To address this iss... 详细信息
来源: 评论
Towards AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety
收藏 引用
IEEE Internet of Things Journal 2025年
作者: Ahmed, Imran Ahmad, Misbah Siddiqi, Muftooh Ur Rehman Chehri, Abdellah Jeon, Gwangill Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom University of West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Hartpury University Department of Animal and Agriculture Gloucester United Kingdom Aston University College of Engineering and Physical Sciences Birmingham United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of
In the rapidly advancing field of intelligent transportation systems, integrating Artificial Intelligence (AI) with edge computing presents a promising way to enhance the safety and efficiency of the Internet of Vehic... 详细信息
来源: 评论
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control
arXiv
收藏 引用
arXiv 2025年
作者: Zhang, Kecheng Liu, Ya-Feng Wang, Zhongbin Yuan, Weijie Keskin, Musa Furkan Wymeersch, Henk Xia, Shuqiang School of System Design and Intelligent Manufacturing The Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Electrical Engineering Chalmers University of Technology Gothenburg41296 Sweden ZTE Corporation The State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China
Integrated sensing and communication (ISAC) has been considered a key feature of next-generation wireless networks. This paper investigates the joint design of the radar receive filter and dual-functional transmit wav... 详细信息
来源: 评论
Toward AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety
收藏 引用
IEEE Internet of Things Journal 2025年 第11期12卷 16990-16997页
作者: Imran Ahmed Misbah Ahmad Muftooh Ur Rehman Siddiqi Abdellah Chehri Gwangill Jeon School of Computing and Information Science Anglia Ruskin University Cambridge U.K. Centre for Machine Vision Bristol Robotics Laboratory University of the West of England Bristol U.K. Department of Animal and Agriculture Hartpury University Gloucester U.K. College of Engineering and Physical Sciences Aston University Birmingham U.K. Department of Mathematics and Computer Science Royal Military College of Canada Kingston ON Canada Department of Embedded Systems Engineering Incheon National University Incheon South Korea
In the rapidly advancing field of intelligent transportation systems, integrating artificial intelligence (AI) with edge computing presents a promising way to enhance the safety and efficiency of the Internet of Vehic... 详细信息
来源: 评论
GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver
收藏 引用
IEEE Transactions on Wireless Communications 2025年
作者: Liu, Zishen Wu, Nan He, Dongxuan Yuan, Weijie Li, Yonghui Quek, Tony Q. S. School of Information and Electronics Beijing Institute of Technology Beijing100081 China School of System Design and Intelligent Manufacturing Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China School of Electrical and Information Engineering The University of Sydney SydneyNSW2008 Australia Singapore University of Technology and Design 487372 Singapore Department of Electronic Engineering Kyung Hee University Yongin17104 Korea Republic of
In this paper, we develop a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel estimation and data detect... 详细信息
来源: 评论