Towards Automated Drone Surveillance in Railways: State-of-the-Art and Future Directions

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• 关键词：UAV ; Drones ; Railways ; Surveillance ; Monitoring ; Artificial vision ; Smart ; sensing
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：10016
• 期：1
• 页码：336-348
• 全文大小：871 KB
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• 作者单位：Francesco Flammini (18)
  Riccardo Naddei (19)
  Concetta Pragliola (18)
  Giovanni Smarra (18)
  
  18. Ansaldo STS, Via Argine 425, Naples, Italy
  19. 3F & EDIN Centro Direzionale Is. E/7, Naples, Italy
  
• 丛书名：Advanced Concepts for Intelligent Vision Systems
• ISBN：978-3-319-48680-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：10016

文摘

The usage of UAV (Unmanned Aerial Vehicles) – widely known as ‘drones’ – is being increasingly investigated in a variety of surveillance scenarios. Being an emerging technology, several challenges still need to be tackled in order to make drones suitable in real applications with strict performance, dependability and privacy requirements. In particular, the monitoring of transit infrastructures represents one critical domain in which drones could be of huge help to reduce costs and possibly increase the granularity of surveillance. Furthermore, drones pave the way to the implementation of smart-sensing functionalities expanding current capabilities in railway monitoring, to support automation, safety of operations, prognostics and even forensic analyses. In this paper we provide a survey of current drone technology and their possible applications to automated railway surveillance, taking into account technical issues and environmental constraints. A current experimentation with drone intelligent video will be addressed, highlighting some preliminary results and future perspectives.