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领域具有巨大的流程自动化潜力。本文对该领域的研究进行了系统性的文献综述，以助力释放这一潜力。所有文献均根据其应用场景（即所解决的任务）以及所使用的计算机视觉技术进行分类。在应用方面，我们将文献分为两个领域：监测（即从环境中观察和提取相关信息）与操控（即用于分析环境并与之交互的方法）。此外，我们指出了未来研究方向，并关联了适用于物流领域的计算机视觉最新进展。最后，我们梳理了现有数据集与工业解决方案。结论表明，尽管已有大量研究领域被探索，但未来研究仍存在巨大潜力。我们的分析结果亦可在线查阅：https://a-nau.github.io/cv-in-logistics。