咨询与建议

限定检索结果

文献类型

  • 153 篇 会议
  • 61 篇 期刊文献

馆藏范围

  • 214 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 127 篇 工学
    • 82 篇 计算机科学与技术...
    • 72 篇 软件工程
    • 55 篇 控制科学与工程
    • 33 篇 信息与通信工程
    • 25 篇 生物工程
    • 19 篇 机械工程
    • 19 篇 光学工程
    • 19 篇 电子科学与技术(可...
    • 16 篇 交通运输工程
    • 14 篇 仪器科学与技术
    • 13 篇 动力工程及工程热...
    • 7 篇 电气工程
    • 7 篇 航空宇航科学与技...
    • 5 篇 安全科学与工程
    • 4 篇 力学(可授工学、理...
    • 4 篇 船舶与海洋工程
    • 4 篇 生物医学工程(可授...
    • 3 篇 材料科学与工程(可...
  • 63 篇 理学
    • 25 篇 生物学
    • 20 篇 数学
    • 20 篇 物理学
    • 6 篇 统计学(可授理学、...
    • 5 篇 系统科学
    • 3 篇 化学
  • 19 篇 管理学
    • 18 篇 管理科学与工程(可...
    • 9 篇 工商管理
  • 7 篇 医学
    • 5 篇 基础医学(可授医学...
    • 5 篇 临床医学
  • 6 篇 法学
    • 6 篇 社会学
  • 6 篇 农学
    • 6 篇 作物学
  • 2 篇 经济学
  • 2 篇 教育学
  • 1 篇 艺术学

主题

  • 22 篇 embedded system
  • 20 篇 robot sensing sy...
  • 18 篇 mobile robots
  • 16 篇 cameras
  • 15 篇 computer science
  • 15 篇 robots
  • 11 篇 laboratories
  • 10 篇 field programmab...
  • 10 篇 robot kinematics
  • 10 篇 surgery
  • 9 篇 system-on-chip
  • 9 篇 navigation
  • 8 篇 sensor systems
  • 8 篇 object detection
  • 8 篇 robotics and aut...
  • 7 篇 computer archite...
  • 7 篇 orbital robotics
  • 6 篇 human robot inte...
  • 6 篇 humans
  • 6 篇 kinematics

机构

  • 15 篇 embedded vision ...
  • 8 篇 robotics and emb...
  • 7 篇 embedded vision ...
  • 7 篇 embedded vision ...
  • 5 篇 robotic embedded...
  • 4 篇 department of ca...
  • 4 篇 department of el...
  • 4 篇 department of au...
  • 4 篇 robotic embedded...
  • 4 篇 department of co...
  • 4 篇 robotics and emb...
  • 3 篇 department of in...
  • 3 篇 sorbonne univers...
  • 3 篇 embedded vision ...
  • 3 篇 tcs research and...
  • 3 篇 interaction labo...
  • 3 篇 embedded vision ...
  • 3 篇 robotics and emb...
  • 2 篇 embedded vision ...
  • 2 篇 department of ro...

作者

  • 47 篇 kryjak tomasz
  • 29 篇 alois knoll
  • 26 篇 knoll alois
  • 16 篇 g.s. sukhatme
  • 11 篇 a. knoll
  • 11 篇 blachut krzyszto...
  • 10 篇 szolc hubert
  • 8 篇 wasala mateusz
  • 7 篇 lis konrad
  • 7 篇 sukhatme gaurav ...
  • 7 篇 wzorek piotr
  • 6 篇 claus lenz
  • 6 篇 markus rickert
  • 6 篇 m.a. batalin
  • 5 篇 d. zapp
  • 5 篇 tomasz kryjak
  • 5 篇 m. a. nasseri
  • 5 篇 panin giorgio
  • 5 篇 pinna andrea
  • 5 篇 r. bauernschmitt

语言

  • 206 篇 英文
  • 5 篇 其他
  • 3 篇 中文
检索条件"机构=Department of Embedded Systems and Robotics"
214 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
LiFT: Lightweight, FPGA-Tailored 3D Object Detection Based on LiDAR Data  18th
LiFT: Lightweight, FPGA-Tailored 3D Object Detection Based o...
收藏 引用
18th International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2025
作者: Lis, Konrad Kryjak, Tomasz Gorgoń, Marek Embedded Vision Systems Group Department of Automatic Control and Robotics AGH University of Krakow Al. Mickiewicza 30 Krakow30-059 Poland
This paper presents LiFT, a lightweight, fully quantized 3D object detection algorithm for LiDAR data, optimized for real-time inference on FPGA platforms. Through an in-depth analysis of FPGA-specific limitation... 详细信息
来源: 评论
Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA
arXiv
收藏 引用
arXiv 2025年
作者: Danilowicz, Michal Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of 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
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
arXiv
收藏 引用
arXiv 2025年
作者: Lis, Konrad Kryjak, Tomasz Gorgoń, Marek Embedded Vision Systems Group Department of Automatic Control and Robotics AGH University of Krakow Al. Mickiewicza 30 Krakow30-059 Poland
This paper presents LiFT, a lightweight, fully quantized 3D object detection algorithm for LiDAR data, optimized for real-time inference on FPGA platforms. Through an in-depth analysis of FPGA-specific limitations, we...
来源: 评论
Vision-based automatic fruit counting with UAV
arXiv
收藏 引用
arXiv 2025年
作者: Szolc, Hubert Wasala, Mateusz Mietla, Remigiusz Iwicki, Kacper Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Krakow al. Mickiewicza 30 Krakow30–059 Poland
The use of unmanned aerial vehicles (UAVs) for smart agriculture is becoming increasingly popular. This is evidenced by recent scientific works, as well as the various competitions organised on this topic. Therefore, ...
来源: 评论
An image processing-based method for determining the geometry transmission ratio of a continuously variable transmission gearbox
An image processing-based method for determining the geometr...
收藏 引用
International Symposium on Applied Science 2024, ISAS 2024
作者: Tran, Dang Long Do, Tri Nhut 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City Viet Nam Department of Embedded Systems and Robotics Faculty of Computer Engineering University of Information Technology Thu Duc City Ho Chi Minh City71308 Viet Nam Vietnam National University in Ho Chi Minh City Linh Trung Ward Thu Duc City Ho Chi Minh City71308 Viet Nam
Nowadays, many applications based on image processing methods are deployed to bring convenience to use due to its outstanding superior features. This paper proposes an image processing-based method for determining the... 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
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
Adaptive Cruise Control with Safety Guarantees for Autonomous Vehicles
收藏 引用
IFAC-PapersOnLine 2017年 第1期50卷 5774-5781页
作者: Magdici S. Althoff M. Department of Robotics and Embedded Systems Technical University of Munich Germany
This paper addresses the problem of following a vehicle with varying acceleration in a comfortable and safe manner. Our architecture consists of a nominal controller (here: model predictive control) and a safety contr... 详细信息
来源: 评论
Template-based development of fault-tolerant embedded software
Template-based development of fault-tolerant embedded softwa...
收藏 引用
2006 International Conference on Software Engineering Advances, ICSEA'06
作者: Buckl, Christian Knoll, Alois Schrott, Gerhard Robotics and Embedded Systems Department of Informatics Technische Universität München
Currently there are different approaches to develop fault-tolerant embedded software: implementing the system from scratch or using libraries respectively specialized hardware. By implementing from scratch the develop... 详细信息
来源: 评论