English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Simulation-based virtual testing has become an essential step to ensure thesafety of autonomous driving systems. Testers need to handcraft the virtualdriving scenes and configure various environmental settings like surroundingtraffic, weather conditions, etc. Due to the huge amount of configurationpossibilities, the human efforts are subject to the inefficiency in detectingflaws in industry-class autonomous driving system. This paper proposes acoverage-driven fuzzing technique to automatically generate diverseconfiguration parameters to form new driving scenes. Experimental results showthat our fuzzing method can significantly reduce the cost in deriving new riskyscenes from the initial setup designed by testers. We expect automated fuzzingwill become a common practice in virtual testing for autonomous drivingsystems.

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing