ICUAS'17 Paper Abstract


Paper ThB3.2

Hšgele, Georg (University of Duisburg-Essen), SŲffker, Dirk (University of Duisburg-Essen)

A Simplified Situational Environment Risk and System Reliability Assessment for Behavior Assurance of Autonomous and Semi-Autonomous Aerial Systems: A Simulation Study

Scheduled for presentation during the "Reliability of UAS" (ThB3), Thursday, June 15, 2017, 14:05−14:25, Salon CD

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on April 12, 2021

Keywords Fail-Safe Systems, Risk Analysis, Reliability of UAS


Autonomous and semi-autonomous aerial systems (AES) as example of autonomous and semi-autonomous systems (AS) have to perform tasks in complex and dynamic environment, for example in logistics and transportation applications. In this context ASís behavior has to be verifyably safe. Traditionally, behavioral safety aspects are combined with mission-related tasks. The consequence of this combination may be unmanageable systemís complexity as well as unpredictable effects during the interaction with the environment leading to inapplicability of traditional safety assurance methods. Furthermore, real-time systemís hardware reliability assessment and management are often not considered.

This paper introduces a novel simplified real-time environmental situation risk assessment approach to be applied for determination of required situational ASís reliability. Furthermore, the novel real-time ASís hardware reliability assessment and situational hardware structure and behavior control for ASís safe behavior assurance is presented. The introduced approach can verify ASís safe situational behavior by real-time environmental risk assessment and ASís hardware structure and emergency behavior control to minimize the situational risk. A technical proof of concept is given demonstrating the successful use of the introduced approach based on AES and its environment simulation using Virtual Robot Experimental Platform in combination of concept realization using real soft Programmable Logic Controller.



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