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Found 7 papers, 2 papers with code
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
In this contribution, we introduce a novel ensemble method for the re-identification of industrial entities, using images of chipwood pallets and galvanized metal plates as dataset examples.
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
A more practical approach is to utilize existing cameras in such spaces in order to address the underlying pose estimation problem and to localize objects of interest.
Event Camera as Region Proposal Network
The number of rods is much higher than the cones, which means that most human vision processing is done in monochrome.
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping
In this work, we are interested in open sets where the number of classes is unknown, varying, and without pre-knowledge about the objects' types.
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e. g., pallets, crates, barrels) over a network of, in this example, six RGB cameras.
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors.
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning
Sensor Floor consists of 345 nodes installed across the floor of our logistic research hall with dual-band RF and Inertial Measurement Unit (IMU) sensors.
