Assuring the Safety of Advanced Driver Assistance Systems Through a Combination of Simulation and Runtime Monitoring
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  • 关键词:Advanced driver assistance systems ; Lane change assistant ; Simulation ; based testing ; Runtime verification
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2016
  • 出版时间:2016
  • 年:2016
  • 卷:9953
  • 期:1
  • 页码:672-687
  • 全文大小:619 KB
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  • 作者单位:Malte Mauritz (15)
    Falk Howar (15)
    Andreas Rausch (15)

    15. Institute for Applied Software Systems Engineering (IPSSE), Clausthal University of Technology, Clausthal, Germany
  • 丛书名:Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications
  • ISBN:978-3-319-47169-3
  • 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:9953
文摘
Autonomous vehicles will share the road with human drivers within the next couple of years. One of the big open challenges is the lack of established and cost-efficient approaches for assuring the safety of Advanced Driver Assistance Systems and autonomous driving. Product liability regulations impose high standards on manufacturers regarding the safe operation of such systems. Today’s conventional engineering methods are not adequate for providing such guarantees in a cost-efficient way. One strategy for reducing the cost of quality assurance is transferring a significant part of the testing effort from road tests to (system-level) simulations. It is not clear, however, how results obtained from simulations transfer to the road. In this paper, we present a method for ensuring that an Advanced Driver Assistance System satisfies its safety requirements at runtime and operates within safe limits that were tested in simulations. Our approach utilizes runtime monitors that are generated from safety requirements and trained using simulated test cases. We evaluate our approach using an industrial prototype of a lane change assistant and data recorded in road tests on German highways.

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