R
Rafael Mosberger
Researcher at Örebro University
Publications - 10
Citations - 146
Rafael Mosberger is an academic researcher from Örebro University. The author has contributed to research in topics: GRASP & Stereo camera. The author has an hindex of 6, co-authored 10 publications receiving 115 citations.
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Journal ArticleDOI
The Next Step in Robot Commissioning: Autonomous Picking and Palletizing
Robert Krug,Todor Stoyanov,Vinicio Tincani,Henrik Andreasson,Rafael Mosberger,Gualtiero Fantoni,Achim J. Lilienthal +6 more
TL;DR: This letter targets the next step in autonomous robot commissioning: automatizing the currently manual order picking procedure, and investigates the use case of autonomous picking and palletizing with a dedicated research platform and discusses lessons learned during testing in simplified warehouse settings.
Proceedings ArticleDOI
Multi-human tracking using high-visibility clothing for industrial safety
TL;DR: A customized stereo camera setup equipped with IR flash and IR filter is used to detect the reflective material on the worker's garments and estimate their trajectories in 3D space to be robust and accurate for tracking workers in arbitrary body poses, under occlusion, and under a wide range of different illumination settings.
Journal ArticleDOI
A customized vision system for tracking humans wearing reflective safety clothing from industrial vehicles and machinery.
TL;DR: A novel approach for vision-based detection and tracking of humans wearing high-visibility clothing with retro-reflective markers is presented, deploying a customized stereo camera setup with active illumination that allows for efficient detection of the reflective patterns created by the worker's safety garments.
Proceedings ArticleDOI
An inexpensive monocular vision system for tracking humans in industrial environments
TL;DR: A novel vision-based method for reliable human detection from vehicles operating in industrial environments in the vicinity of workers by exploiting the fact that reflective vests represent a standard safety equipment on most industrial worksites.
Book ChapterDOI
Estimating the 3D Position of Humans Wearing a Reflective Vest Using a Single Camera System
TL;DR: This chapter presents a novel possible solution for people detection and estimation of their 3D position in challenging shared environments based on a single camera equipped with an IR flash and indicates very good classification performance and remarkably accurate distance estimation especially in combination with the SURF descriptor.