Brief Announcement: KARYON: Towards Safety Kernels for Cooperative Vehicular Systems

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• 作者：António Casimiro (18)
  J?rg Kaiser (19)
  Johan Karlsson (20)
  Elad Michael Schiller (20)
  Philippas Tsigas (20)
  Pedro Costa (21)
  José Parizi (22)
  Rolf Johansson (23)
  Renato Librino (24)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7596
• 期：1
• 页码：236-238
• 全文大小：96KB
• 参考文献：1. Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control, 2nd edn. Springer (2006)
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  8. Verissimo, P., Rodrigues, L.: Distributed Systems for System Architects. Kluwer Academic (2001)
  
• 作者单位：António Casimiro (18)
  J?rg Kaiser (19)
  Johan Karlsson (20)
  Elad Michael Schiller (20)
  Philippas Tsigas (20)
  Pedro Costa (21)
  José Parizi (22)
  Rolf Johansson (23)
  Renato Librino (24)
  
  18. Univ. Lisboa, Portugal
  19. Otto-von-Guericke Univ. Magdeburg, Germany
  20. Chalmers Univ. Tech., Sweden
  21. GMVIS SKYSOFT, Portugal
  22. EMBRAER SA, Brazil
  23. SP AB, Sweden
  24. 4S SRL, Italy
  

文摘

KARYON, a kernel-based architecture for safety-critical control, is a European project that proposes a new perspective to improve performance of smart vehicle coordination focusing on Advanced Driver Assistance Systems (ADASs) and Unmanned Aerial Systems (UAS). The key objective is to provide system solutions for predictable and safe coordination of smart vehicles that autonomously cooperate and interact in an open and inherently uncertain environment. Currently, these systems are not allowed to operate on the public roads or in the air space, as the risk of causing severe damage cannot be excluded with sufficient certainty. The impact of the project is two-fold; it will provide improved vehicle density without driver involvement and increased traffic throughput to maintain mobility without a need to build new traffic infrastructures. The results will improve interaction in cooperation scenarios while preserving safety and assessing it according to standards. The prospective project results include self-stabilizing algorithms for vehicle coordination, communication and synchronization. In addition, we aim at showing that the safety kernel can be designed to be a self-stabilizing one.