Zobrazeno 1 - 10
of 467
pro vyhledávání: '"Roidl, A."'
Autor:
Klüttermann, Simon, Rutinowski, Jérôme, Nguyen, Anh, Grimme, Britta, Roidl, Moritz, Müller, Emmanuel
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. Our algorithms replace commonly used, complex siamese neura
Externí odkaz:
http://arxiv.org/abs/2403.12606
Autor:
Youssef, Hazem, Polachowski, Frederik, Rutinowski, Jérôme, Roidl, Moritz, Reining, Christopher
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 installed in th
Externí odkaz:
http://arxiv.org/abs/2310.14914
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 than the cones, which means that most human vision processing is done in
Externí odkaz:
http://arxiv.org/abs/2305.00718
Autor:
Gouda, Anas, Roidl, Moritz
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 classes on the fly without retraining? This is the case of robotic applicat
Externí odkaz:
http://arxiv.org/abs/2304.02833
Autor:
Rutinowski, Jérôme, Youssef, Hazem, Franke, Sven, Priyanta, Irfan Fachrudin, Polachowski, Frederik, Roidl, Moritz, Reining, Christopher
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. This frame
Externí odkaz:
http://arxiv.org/abs/2304.00950
Publikováno v:
ICRA (2022) pp. 10702-10708
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 navigate dynamic environments with deadlock-prone layouts. We present a Dist
Externí odkaz:
http://arxiv.org/abs/2303.11279
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 on the quality of the forecasts. We compare various forecasting metho
Externí odkaz:
http://arxiv.org/abs/2303.07139
Autor:
Gouda, Anas, Heinrich, Danny, Hünnefeld, Mirco, Priyanta, Irfan Fachrudin, Reining, Christopher, Roidl, Moritz
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 localization ap
Externí odkaz:
http://arxiv.org/abs/2212.04721
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 outdoors in
Externí odkaz:
http://arxiv.org/abs/2212.03346
Autor:
Jérôme Rutinowski, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl, Christopher Reining
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract 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. T
Externí odkaz:
https://doaj.org/article/d7bb9188bae847fa88f813930cbfbd60