Abstract
In this chapter, novel approaches for the detection of logistical objects (loading units) in the field of material flow applications are comparative presented, focusing on solutions using low cost 3D sensors. These approaches realize substantial changes in comparison to traditional system design of logistic processes. Complex 3D-vision systems, costly laser scanners or throughput decreasing local sensor solutions integrated in grippers are substituted by low cost Photonic Mixing Device (PMD) cameras or structured light sensors (like Asus Xtion or Microsoft Kinect). By using low cost sensors and modern point cloud processing algorithms for detection and classification in logistic applications like de-palletizing, automation of usually manual processes will be economically feasible. Besides the description of different basic solution concepts for 2.5D and 3D, two practical applications are presented.
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