Computer vision applications in transportation logistics and warehousing have a huge potential for process automation. We present a structured literature review on research in the field to help leverage this potential. All literature is categorized w.r.t. the application, i.e. the task it tackles and w.r.t. the computer vision techniques that are used. Regarding applications, we subdivide the literature in two areas: Monitoring, i.e. observing and retrieving relevant information from the environment, and manipulation, where approaches are used to analyze and interact with the environment. In addition to that, we point out directions for future research and link to recent developments in computer vision that are suitable for application in logistics. Finally, we present an overview of existing datasets and industrial solutions. We conclude that while already many research areas have been investigated, there is still huge potential for future research. The results of our analysis are also available online at https://a-nau.github.io/cv-in-logistics.
翻译:计算机视觉在运输物流与仓储中的应用具有极大的自动化潜力。我们进行了一项关于该领域研究的结构化文献综述,以协助利用这种潜力。所有文献都按应用进行分类,即其涉及的任务,并按所使用的计算机视觉技术进行分类。关于应用,我们将文献分为两个领域:监控,即观察和检索环境中的相关信息,和操作,其中使用方法分析和与环境进行交互。除此之外,我们指出了未来研究的方向,并提供了与物流相关的最新计算机视觉发展的链接。最后,我们提供了现有数据集和工业解决方案的概述。我们得出结论,即尽管已经研究了许多研究领域,但未来仍有巨大的研究潜力。我们的分析结果也可在 https://a-nau.github.io/cv-in-logistics 上在线获取。