Formal methods for safe design of autonomous systems dedicated to risk management

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new generation of Autonomous systems (UAVs, ROVERs, etc.) is coming that will help improve the situational awareness and assessment, especially in difficult conditions like disasters. Rescuers should be relieved from time-consuming data collection tasks as much as possible and at the same time, Autonomous systems should assist data collection through a more insightful and automated guidance thanks to advanced sensing capabilities. In order to achieve this vision, two challenges must be addressed though. The first one is to achieve a sufficient autonomy. The second one relates to the reliability with respect to accidental (safety) or even malicious (security) risks. This however requires the design of new embedded architectures to be more autonomous, while mitigating the harm they may potentially cause. Increased complexity and flexibility requires resorting to modelling, simulation and formal verification techniques in order to validate such critical aspects.

Original languageEnglish
Title of host publicationInformation Technology in Disaster Risk Reduction - 1st IFIP TC 5 DCITDRR International Conference, ITDRR 2016, Revised Selected Papers
EditorsJose J. Gonzalez, Plamena Zlateva, Yuko Murayama, Dimiter Velev
PublisherSpringer New York LLC
Pages61-76
Number of pages16
ISBN (Print)9783319684857
DOIs
Publication statusPublished - 1 Jan 2017
Event1st IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2016 - Sofia, Bulgaria
Duration: 16 Nov 201618 Nov 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume501
ISSN (Print)1868-4238

Conference

Conference1st IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2016
Country/TerritoryBulgaria
CitySofia
Period16/11/1618/11/16

Keywords

  • Autonomous systems
  • Formal methods
  • Safety
  • Security

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