activity
20222026
most citedDistributed Timed Elastic Band (DTEB) Planner: Trajectory Sharing and Collision Prediction for Multi-Robot Systems

5 citations · 11 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.RO2023★ 5 cited

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…

stat.ML2023★ 3 cited

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…