En-route: on enabling resource usage testing for autonomous driving frameworks
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hdl:2117/185816
Document typeConference report
Defense date2020-03
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
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ProjectUP2DATE - Intelligent software-UPDATE technologies for safe and secure mixed-criticality and high performance cyber physical systems (EC-H2020-871465)
COMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
RYC-2013-14717 (MINECO-RYC-2013-14717)
SuPerCom - Sustainable Performance for High-Performance Embedded Computing Systems (EC-H2020-772773)
COMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
RYC-2013-14717 (MINECO-RYC-2013-14717)
SuPerCom - Sustainable Performance for High-Performance Embedded Computing Systems (EC-H2020-772773)
Abstract
Software resource usage testing, including execution time bounds and memory, is a mandatory validation step during the integration of safety-related real-time systems. However, the inherent complexity of Autonomous Driving (AD) systems challenges current practice for resource usage testing. This paper exposes the difficulties to perform resource usage testing for AD frameworks by analyzing a complex and critical module of an AD framework, and provides some guidelines and practical evidence on how resource usage testing can be effectively performed, thus enabling end users to validate their safety-related real-time AD frameworks.
CitationAlcon, M. [et al.]. En-route: on enabling resource usage testing for autonomous driving frameworks. A: ACM Symposium On Applied Computing. "The 35th Annual ACM Symposium on Applied Computing: Brno, Czech Republic, March 30-April 3, 2020". New York, NY, USA: Association for Computing Machinery (ACM), 2020, p. 1953-1962.
ISBN9781450368667
Publisher versionhttps://dl.acm.org/doi/abs/10.1145/3341105.3373938
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