Christopher Reining
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View article: Development and Maintenance of Trust in Human-Drone Interaction: Preliminary Empirical Findings in a Warehouse Setting
Development and Maintenance of Trust in Human-Drone Interaction: Preliminary Empirical Findings in a Warehouse Setting Open
This paper explores the process of trust development in human-drone interaction, focusing on how trust evolves over time when humans are unfamiliar with AI-assisted technology. The study investigates the development of trust, specifically …
View article: The SuLo Framework: A Systematic Literature Review of Drivers and Barriers to Sustainable Logistics Practices
The SuLo Framework: A Systematic Literature Review of Drivers and Barriers to Sustainable Logistics Practices Open
This contribution presents the SuLo (Sustainable Logistics) framework developed through a systematic literature review of the drivers and barriers to implementing sustainable sustainability in logistics, with a focus on warehousing. As glo…
View article: How does the ball get onto the pitch? Equipment logistics management in sport organizations
How does the ball get onto the pitch? Equipment logistics management in sport organizations Open
This paper uncovers a specific yet scientifically untreated area at the intersection of logistics and sport management: sport equipment logistics. It asks what it is about, what organizational structures look like and how operations are ma…
View article: Can ChatGPT Solve Undergraduate Exams from Warehousing Studies? An Investigation
Can ChatGPT Solve Undergraduate Exams from Warehousing Studies? An Investigation Open
The performance of Large Language Models, such as ChatGPT, generally increases with every new model release. In this study, we investigated to what degree different GPT models were able to solve the exams of three different undergraduate c…
View article: Can ChatGPT Solve Undergraduate Exams from Logistics Studies? An Investigation
Can ChatGPT Solve Undergraduate Exams from Logistics Studies? An Investigation Open
The performance of Large Language Models, such as ChatGPT, generally increases with each further model release. In this paper, we investigate whether and how well different ChatGPT models solve the exams of three different logistics underg…
View article: Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping Open
Foundation models are a strong trend in deep learning and computer vision. These models serve as a base for applications as they require minor or no further fine-tuning by developers to integrate into their applications. Foundation models …
View article: Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach
Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach Open
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.…
View article: Kontextbasierte Aktivitätserkennung -- Synergie von Mensch und Technik in der Social Networked Industry
Kontextbasierte Aktivitätserkennung -- Synergie von Mensch und Technik in der Social Networked Industry Open
In a social networked industry, the focus is on collaboration between humans and technology. Communication is the basic prerequisite for synergetic collaboration between all players. It includes non-verbal as well as verbal interactions. T…
View article: Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings Open
Object localization, and more specifically object pose estimation, in large industrial spaces such as warehouses and production facilities, is essential for material flow operations. Traditional approaches rely on artificial artifacts inst…
View article: Logistic Activity Recognition Challenge (LARa Version 03) – A Motion Capture and Inertial Measurement Dataset
Logistic Activity Recognition Challenge (LARa Version 03) – A Motion Capture and Inertial Measurement Dataset Open
<p><strong>LARa</strong><strong> Version 03</strong> is a freely accessible logistics-dataset for human activity recognition. In the “Innovationlab Hybrid Services in Logistics” at TU Dortmund…
View article: Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach Open
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.…
View article: TOMIE (Tracking Of Multiple Industrial Entities) Dataset
TOMIE (Tracking Of Multiple Industrial Entities) Dataset Open
This dataset is part of the publication "Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach". If you have any questions concerning this dataset, feel free to contact th…
View article: TOMIE (Tracking Of Multiple Industrial Entities) Dataset
TOMIE (Tracking Of Multiple Industrial Entities) Dataset Open
This dataset is part of the publication "Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities - A Framework and Dataset Creation Approach". If you have any questions concerning this dataset, feel free to contact th…
View article: Multi-Channel Time-Series Person and Soft-Biometric Identification
Multi-Channel Time-Series Person and Soft-Biometric Identification Open
Multi-channel time-series datasets are popular in the context of human activity recognition (HAR). On-body device (OBD) recordings of human movements are often preferred for HAR applications not only for their reliability but as an approac…
View article: Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach Open
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.…
View article: Dataset Bias in Human Activity Recognition
Dataset Bias in Human Activity Recognition Open
When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physical characteristics and/or soft-biometrics, such as age, hei…
View article: On the Applicability of Synthetic Data for Re-Identification
On the Applicability of Synthetic Data for Re-Identification Open
This contribution demonstrates the feasibility of applying Generative Adversarial Networks (GANs) on images of EPAL pallet blocks for dataset enhancement in the context of re-identification. For many industrial applications of re-identific…
View article: 3.7 Micro-UAV Swarm Testbed for Indoor Applications
3.7 Micro-UAV Swarm Testbed for Indoor Applications Open
This contribution describes a testbed for the development of resourceconstrained micro-UAV (Unmanned Aerial Vehicle) swarms . The testbed architecture combines external observation, visualization of logistic scenarios, and simulation syste…
View article: A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning Open
Wireless Sensor Network (WSN) applications reshape the trend of warehouse monitoring systems allowing them to track and locate massive numbers of logistic entities in real-time. To support the tasks, classic Radio Frequency (RF)-based loca…
View article: galvanized-636 – A galvanized steel re-identification dataset
galvanized-636 – A galvanized steel re-identification dataset Open
The dataset "galvanized-636" contains images of 636 sheets of galvanized steel, of which four pictures each were taken per side from different, labeled perspectives, amounting to a total of 5,088 images. This dataset can be used for the pu…
View article: UAVs for Industries and Supply Chain Management
UAVs for Industries and Supply Chain Management Open
This work aims at showing that it is feasible and safe to use a swarm of Unmanned Aerial Vehicles (UAVs) indoors alongside humans. UAVs are increasingly being integrated under the Industry 4.0 framework. UAV swarms are primarily deployed o…
View article: galvanized-636 – A galvanized steel re-identification dataset
galvanized-636 – A galvanized steel re-identification dataset Open
The dataset "galvanized-636" contains images of 636 sheets of galvanized steel, of which four pictures each were taken per side from different, labeled perspectives, amounting to a total of 5,088 images. This dataset can be used for the pu…
View article: Applications of human activity recognition in industrial processes -- Synergy of human and technology
Applications of human activity recognition in industrial processes -- Synergy of human and technology Open
Human-technology collaboration relies on verbal and non-verbal communication. Machines must be able to detect and understand the movements of humans to facilitate non-verbal communication. In this article, we introduce ongoing research on …
View article: DoPose-6D dataset for object segmentation and 6D pose estimation
DoPose-6D dataset for object segmentation and 6D pose estimation Open
Scene understanding is essential in determining how intelligent robotic grasping and manipulation could get. It is a problem that can be approached using different techniques: seen object segmentation, unseen object segmentation, or 6D pos…
View article: Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset
Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset Open
<p><strong>LARa</strong><strong> Version 02</strong> is a freely accessible logistics-dataset for human activity recognition. In the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund…
View article: DoPose: dataset for object segmentation and 6D pose estimation
DoPose: dataset for object segmentation and 6D pose estimation Open
DoPose (Dortmund Pose)is a dataset of highly cluttered and closely stacked objects. The dataset is saved in the BOP format. The dataset includes RGB images, Depth images, 6D Pose of objects, segmentation mask (all and visible), COCO Json a…
View article: Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset
Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset Open
LARa Version 02 is a freely accessible logistics-dataset for human activity recognition. In the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund University, two picking and one packing scenarios with 16 subjects were recorded us…
View article: DoPose: dataset for object segmentation and 6D pose estimation
DoPose: dataset for object segmentation and 6D pose estimation Open
DoPose (Dortmund Pose)is a dataset of highly cluttered and closely stacked objects. The dataset is saved in the BOP format. The dataset includes RGB images, Depth images, 6D Pose of objects, segmentation mask (all and visible), COCO Json a…