论文标题

移动机器人视觉异常检测的挑战

Challenges in Visual Anomaly Detection for Mobile Robots

论文作者

Mantegazza, Dario, Giusti, Alessandro, Gambardella, Luca M., Rizzoli, Andrea, Guzzi, Jérôme

论文摘要

我们考虑根据视觉检测自动移动机器人异常的任务。我们对相关类型的视觉异常进行分类,并讨论如何通过无监督的深度学习方法检测到它们。我们提出了一个专门为此任务构建的新型数据集,并在该任务上测试了最先进的方法。我们终于在实际情况下讨论部署。

We consider the task of detecting anomalies for autonomous mobile robots based on vision. We categorize relevant types of visual anomalies and discuss how they can be detected by unsupervised deep learning methods. We propose a novel dataset built specifically for this task, on which we test a state-of-the-art approach; we finally discuss deployment in a real scenario.

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