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Modeling an innovative infrastructural framework for autonomous cars

Authors:
Vlad Ciprian - Sorin at Polytechnic University of Timisoara
Vlad Ciprian - Sorin
Eugen Rosca at Polytechnic University of Bucharest
Eugen Rosca
Larisa Ivascu at Polytechnic University of Timisoara
Larisa Ivascu
Iulia Ioana Mircea at Polytechnic University of Bucharest
Iulia Ioana Mircea
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Abstract

This research project aims to outline the concept of modelling an infrastructure segment to enable such testing. The expected results directly influence the possibilities of developing level 3,4,5 technology in the field of autonomous cars, The identification of new smart infrastructure and connectivity solutions and the determination of road safety improvement parameters.
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Testing Autonomous Cars for Feature Interaction Failures using Many-Objective Search
Conference Paper
Full-text available
  • Jul 2018
Complex systems such as autonomous cars are typically built as a composition of features that are independent units of functionality. Features tend to interact and impact one another's behavior in unknown ways. A challenge is to detect and manage feature interactions, in particular, those that violate system requirements, hence leading to failures. In this paper, we propose a technique to detect feature interaction failures by casting our approach into a search-based test generation problem. We define a set of hybrid test objectives (distance functions) that combine traditional coverage-based heuristics with new heuristics specifically aimed at revealing feature interaction failures. We develop a new search-based test generation algorithm, called FITEST, that is guided by our hybrid test objectives. FITEST extends recently proposed many-objective evolutionary algorithms to reduce the time required to compute fitness values. We evaluate our approach using two versions of an industrial self-driving system. Our results show that our hybrid test objectives are able to identify more than twice as many feature interaction failures as two baseline test objectives used in the software testing literature (i.e., coverage-based and failure-based test objectives). Further, the feedback from domain experts indicates that the detected feature interaction failures represent real faults in their systems that were not previously identified based on analysis of the system features and their requirements.
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