activity
20222024
most citedMCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

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

collaborators

5 papers

cs.RO2024★ 4 cited

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen +8

Perception plays a crucial role in various robot applications. However, existing well-annotated datasets are biased towards autonomous driving scenarios, while unlabelled SLAM data…

cs.CV2024★ 1 cited

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

Maciej K Wozniak, Mattias Hansson, Marko Thiel +1

In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between…

math.CO2023

Strange Expectations in Affine Weyl Groups

Eric Nathan Stucky, Marko Thiel, Nathan Williams

Our main result is a generalization, to all affine Weyl groups, of P. Johnson's proof of D. Armstrong's conjecture for the expected number of boxes in a simultaneous core. This ext…

cs.RO2023

Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data

Maciej K. Wozniak, Viktor Karefjards, Marko Thiel +1

Multimodal sensor fusion methods for 3D object detection have been revolutionizing the autonomous driving research field. Nevertheless, most of these methods heavily rely on dense…

cs.RO2022

Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria

Justin Ziegenbein, Manuel Schrick, Marko Thiel +2

A key aspect of the precision of a mobile robots localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed…