activity
20182023
most citedComplex-YOLO: Real-time 3D Object Detection on Point Clouds

76 citations · 205 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.CV2023

Online Out-of-Domain Detection for Automated Driving

Timo Sämann, Horst-Michael Groß

Ensuring safety in automated driving is a major challenge for the automotive industry. Special attention is paid to artificial intelligence, in particular to Deep Neural Networks (…

cs.RO2023★ 1 cited

PanopticNDT: Efficient and Robust Panoptic Mapping

Daniel Seichter, Benedict Stephan, Söhnke Benedikt Fischedick +3

As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial. A mobile robot that is supposed to operate…

cs.CV2023★ 1 cited

Fusing Hand and Body Skeletons for Human Action Recognition in Assembly

Dustin Aganian, Mona Köhler, Benedict Stephan +2

As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize hu…

cs.CV2023

How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks

Dustin Aganian, Mona Köhler, Sebastian Baake +2

As the use of collaborative robots (cobots) in industrial manufacturing continues to grow, human action recognition for effective human-robot collaboration becomes increasingly imp…

cs.CV2023★ 19 cited

Efficient Multi-Task Scene Analysis with RGB-D Transformers

Söhnke Benedikt Fischedick, Daniel Seichter, Robin Schmidt +2

Scene analysis is essential for enabling autonomous systems, such as mobile robots, to operate in real-world environments. However, obtaining a comprehensive understanding of the s…

cs.RO2023

ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding

Dustin Aganian, Benedict Stephan, Markus Eisenbach +2

With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant…

cs.RO2023★ 2 cited

A Little Bit Attention Is All You Need for Person Re-Identification

Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian +1

Person re-identification plays a key role in applications where a mobile robot needs to track its users over a long period of time, even if they are partially unobserved for some t…