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. The 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. Additionally, 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. The results of our analysis are also available online at https://a-nau.github.io/cv-in-logistics.

翻译：计算机视觉在交通运输物流与仓储中的应用具有巨大的流程自动化潜力。为助力挖掘这一潜力，本文对该领域的研究进行了结构化文献综述。相关文献依据其应用方向（即所处理的任务）以及所使用的计算机视觉技术进行分类。在应用层面，我们将文献划分为两大领域：监测（即观察并提取环境中的相关信息）与操控（即通过方法分析环境并与之交互）。此外，我们指出了未来研究方向，并关联了近期适用于物流领域的计算机视觉发展动态。最后，我们概述了现有数据集与工业解决方案。分析结果亦可在 https://a-nau.github.io/cv-in-logistics 在线获取。