1 code implementation • 6 Nov 2023 • Alexander Naumann, Felix Hertlein, Laura Dörr, Kai Furmans
We propose a tampering detection pipeline that utilizes keypoint detection to identify the eight corner points of a parcel.
1 code implementation • 18 Apr 2023 • Alexander Naumann, Felix Hertlein, Laura Dörr, Kai Furmans
We work towards detecting mishandling of parcels by presenting a novel architecture called CubeRefine R-CNN, which combines estimating a 3D bounding box with an iterative mesh refinement.
1 code implementation • 12 Apr 2023 • Alexander Naumann, Felix Hertlein, Laura Dörr, Steffen Thoma, Kai Furmans
Computer vision applications in transportation logistics and warehousing have a huge potential for process automation.
no code implementations • 11 Jan 2023 • Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans
To enable automatic disassembly of different product types with uncertain conditions and degrees of wear in remanufacturing, agile production systems that can adapt dynamically to changing requirements are needed.
3 code implementations • 18 Oct 2022 • Alexander Naumann, Felix Hertlein, Benchun Zhou, Laura Dörr, Kai Furmans
This approach of image scraping and selection relaxes the need for a real-world domain-specific dataset that must be either publicly available or created for this purpose.
1 code implementation • 28 Mar 2020 • Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans
Our approach is motivated by logistics, where this assumption is valid and refined planes can be used to perform robust object detection without the need for supervised learning.