Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation

arXiv:2404.11266v1 Announce Type: new
Abstract: The operating environment of a highly automated vehicle is subject to change, e.g., weather, illumination, or the scenario containing different objects and other participants in which the highly automated vehicle has to navigate its passengers safely. These situations must be considered when developing and validating highly automated driving functions. This already poses a problem for training and evaluating deep learning models because without the costly labeling of thousands of recordings, not knowing whether the data …

abstract arxiv automated cases change cs.cv detection environment instance objects segmentation type uncertainty weather