Network Rail

🇬🇧 GB

论文数

12

总引用数

158

H-Index

8

研究人员

7

关于

暂无简介。

研究焦点

Computer science12 · 158 次引用
Engineering11 · 129 次引用
Track (disk drive)6 · 103 次引用
Artificial intelligence7 · 99 次引用
Systems engineering6 · 72 次引用
Robot5 · 61 次引用
Software deployment4 · 57 次引用
Reliability engineering2 · 39 次引用
Risk analysis (engineering)2 · 35 次引用
Transport engineering3 · 34 次引用

主要成就

8
H 指数
12
论文
158
总引用数
7
教职员与研究人员
🏆 最高被引论文
Extracting Rail Track Geometry from Static Terrestrial Laser Scans for Monitoring Purposes
29 次引用 · 2014
📊 篇均引用: 13
📈 最高产年份: 2022 (3)
🔬 研究焦点: Computer science, Engineering, Track (disk drive), Artificial intelligence, Systems engineering, Robot

代表论文

  1. 1
    Extracting Rail Track Geometry from Static Terrestrial Laser Scans for Monitoring Purposes
    29 次引用 · 2014
  2. 2
    A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems
    25 次引用 · 2022
  3. 3
    An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator
    22 次引用 · 2023
  4. 4
    Development of a Human Factors Roadmap for the Successful Implementation of Industrial Human-Robot Collaboration
    22 次引用 · 2016
  5. 5
    Towards an Autonomous RIRS: Design, Structure Investigation and Framework
    14 次引用 · 2021
  6. 6
    A Review on the Prospects of Mobile Manipulators for Smart Maintenance of Railway Track
    10 次引用 · 2023
  7. 7
    Localisation and Navigation Framework for Autonomous Railway Robotic Inspection and Repair System
    9 次引用 · 2021
  8. 8
    Human, Organisational and Societal Factors in Robotic Rail Infrastructure Maintenance
    8 次引用 · 2022
  9. 9
    Optimising train axle inspection with the implementation of human-robot collaboration: A human factors perspective
    7 次引用 · 2016
  10. 10
    Challenges for a Railway Inspection and Repair System from Railway Infrastructure
    6 次引用 · 2022

教职员与研究人员

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