Feb. 6, 2024, 5:53 a.m. | Hubert Padusinski Thilo Braun Christian Steinhauser Lennart Ries Eric Sax

cs.CV updates on arXiv.org arxiv.org

Are we heading for an iceberg with the current testing of machine vision? This work delves into the landscape of Machine Vision (MV) testing, which is heavily required in Highly Automated Driving (HAD) systems. Utilizing the metaphorical notion of navigating towards an iceberg, we discuss the potential shortcomings concealed within current testing strategies. We emphasize the urgent need for a deeper understanding of how to deal with the opaque functions of MV in development processes. As overlooked considerations can cost …

automated cs.ai cs.cv cs.ro cs.se current discuss driving dynamic eess.iv environmental explained iceberg landscape machine machine vision notion systems testing vision work

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