Frenetic-lib: An extensible framework for search-based generation of road structures for ADS testing
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Being capable of identifying significant safety shortcomings, search-based methods are a core tool for testing automated driving system (ADS) technologies. In this domain, Frenetic has proven to be a popular and very effective tool, searching and identifying diverse sets of roads that point out potentially faulty ADS behaviour. This paper presents Frenetic-lib, a Python library that captures Frenetic?s novel combination of road representation and genetic algorithm, and makes it generally available in a customisable way. Next to the capacity to integrate additional ADS simulators, Frenetic-lib further creates new research opportunities on search-based road testing, novel road representations and mutation operators.