Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing
It synthesizes existing knowledge to help researchers and practitioners leverage computer vision for automation in logistics, but is incremental as it reviews rather than introduces new methods.
This paper conducted a structured literature review on computer vision applications in transportation logistics and warehousing, categorizing research by task and techniques, and providing an overview of datasets and industrial solutions.
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.