5 citations · 11 across the 11 of their papers we have counts for
11 papers
Benchmarking Recurrent Event-Based Object Detection for Industrial Multi-Class Recognition on MTevent
Lokeshwaran Manohar, Moritz Roidl
Event cameras are attractive for industrial robotics because they provide high temporal resolution, high dynamic range, and reduced motion blur. However, most event-based object de…
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
Shrutarv Awasthi, Anas Gouda, Sven Franke +3
Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s. However, effectively utilizing…
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen +3
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…
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings
Hazem Youssef, Frederik Polachowski, Jérôme Rutinowski +2
Object localization, and more specifically object pose estimation, in large industrial spaces such as warehouses and production facilities, is essential for material flow operation…
Event Camera as Region Proposal Network
Shrutarv Awasthi, Anas Gouda, Richard Julian Lodenkaemper +1
The human eye consists of two types of photoreceptors, rods and cones. Rods are responsible for monochrome vision, and cones for color vision. The number of rods is much higher tha…
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
Jérôme Rutinowski, Hazem Youssef, Sven Franke +4
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, ba…
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping
Anas Gouda, Moritz Roidl
How can we segment varying numbers of objects where each specific object represents its own separate class? To make the problem even more realistic, how can we add and delete class…
Distributed Timed Elastic Band (DTEB) Planner: Trajectory Sharing and Collision Prediction for Multi-Robot Systems
Yiu Ming Chung, Hazem Youssef, Moritz Roidl
Autonomous navigation of mobile robots is a well studied problem in robotics. However, the navigation task becomes challenging when multi-robot systems have to cooperatively naviga…
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Lena Schmid, Moritz Roidl, Markus Pauly
Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors. Therefore, the quality of planning depends…
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning
Anas Gouda, Danny Heinrich, Mirco Hünnefeld +3
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…
UAVs for Industries and Supply Chain Management
Shrutarv Awasthi, Nils Gramse, Christopher Reining +1
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…