Review of key technologies for warehouse 3D reconstruction

Abstract

Most of the current warehouse management system is made out of two-dimensional (2D) plane schematic warehouse, which brings a lot of inconvenience to warehouse management, including the warehouse data, storage of goods, location search, inventory, etc. 3D warehouse model began to attract attention as it can provide more intuitive view of warehouse-related information. This paper aims to review and investigate the current key technologies used for 3D modeling of warehouse system. This paper reviewed the method of 3D view reconstruction of the warehouse management system, including the active and passive, active and passive fusion methods, and makes a detailed comparison between the active and passive methods. It was found that different methods were applied to reconstruct the 3D view of warehouse, each with its own advantages and disadvantages.

A Systematic Stereo Camera Calibration Strategy: Leveraging Latin Hypercube Sampling and 2k Full-Factorial Design of Experiment Methods

“…Binocular or stereo vision, used in diverse areas like autonomous driving [1,2], robot navigation [3,4], 3D reconstruction [5][6][7], and industrial inspection [8,9], employs two identical cameras to capture two images of the same target from different vantage points. The disparity between these images enables 3D reconstruction and measurement, the accuracy of which is heavily dependent on the precision of the camera calibration and stereo matching methods, thus making these processes key research subjects in stereo vision.…”