Pose Estimation and Object Tracking Using 2D Images

Abstract

Different factors are forcing a change in the logistics market, most notably e-commerce and manufacturing of custom-made products. This fact is highly linked with warehouse management, where exploitation costs increase with the new value-added tasks required in logistics. In this work, we present a detection system, based on 2D pattern recognition, to estimate the pose of pallets placed in open areas in non-fixed positions. The detection method is part of a novel automation solution designed to retrofit manual operated forklifts, adding a new autonomous working mode, obtaining a highly flexible pallet handling system that could be applied in shared spaces with humans.