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Corner cases for driving automation systems can often be detected by thesystem itself and subsequently resolved by remote humans. There exists a widevariety of technical approaches on how remote humans can resolve such issues.Over multiple domains, no common taxonomy on those approaches has developedyet, though. As the scaling of automated driving systems continues to increase,a uniform taxonomy is desirable to improve communication within the scientificcommunity, but also beyond to policymakers and the general public. In thispaper, we provide a survey on recent terminologies and propose a taxonomy forremote human input systems, classifying the different approaches based on theircomplexity.

Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems