A 2D laser rangefinder scans dataset of standard EUR pallets.

ABSTRACT: In the past few years, the technology of automated guided vehicles (AGVs) has notably advanced. In particular, in the context of factory and warehouse automation, different approaches have been presented for detecting and localizing pallets inside warehouses and shop-floor environments. In a related research paper Mohamed et al., 2018, we show that an AGVs can detect, localize, and track pallets using machine learning techniques based only on the data of an on-board 2D laser rangefinder. Such sensor is very common in industrial scenarios due to its simplicity and robustness, but it can only provide a limited amount of data. Therefore, it has been neglected in the past in favor of more complex solutions. In this paper, we release to the community the data we collected in Ref. Mohamed et al.

SUBMITTER: Mohamed IS 

PROVIDER: S-EPMC6449777 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature