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A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles
Published in Journal of Intelligent Transportation Systems, 2021
Felix Batsch, Stratis Kanarachos, Madeline Cheah, Roberto Ponticelli, Mike Blundell
A system level approach of finding critical scenarios based on a robustness metric is presented by Tuncali et al. (2018, 2016). In Tuncali et al. (2018) they use a robustness metric as fitness function for their search algorithm, that follows a combinatorial generation of scenarios, as described in Section 3.3. Aiming to minimize the robustness value, they anticipate to find scenarios that are on the boundary between success and failure, so called boundary or edge cases. Examples for such scenarios are critical just-miss scenarios of other traffic participants or low-speed collisions.