Deep-Learning-Verfahren zur 3D-Objekterkennung in der Logistik

Marko Thiel, Johannes Hinckeldeyn & Jochen Kreutzfeldt
The reliable detection of objects in sensor data is a fundamental requirement for the autono-mization of logistic processes. Especially the recognition of objects in 3D sensor data is important for flexible autonomous applications. Deep learning represents the state of the art for object recognition in 2D image data. This article presents various current approaches to use deep learning for 3D object recognition. An essential feature of these approaches is the use of point clouds as...
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