Search Results for author: Kai Furmans

Found 6 papers, 5 papers with code

TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains

1 code implementation6 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.

Change Detection Keypoint Detection

Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics

1 code implementation18 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.

2D Object Detection 3D Object Detection +1

Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing

1 code implementation12 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.

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors

no code implementations11 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.

object-detection Object Detection

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

3 code implementations18 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.

3D Object Detection 3D Reconstruction +3

Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection

1 code implementation28 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.

Edge Detection object-detection +3

Cannot find the paper you are looking for? You can Submit a new open access paper.