5 papers
Laser-Tracker-Assisted Camera-to-Robot Calibration for Mobile Robots
Jan A. Rudolph, Öykü Kandemir, Markus Ulrich
We present a laser-tracker-assisted hand-eye calibration method for camera-equipped mobile robots. The method combines laser-tracker-based 3D metrology with camera-based 2D observa…
A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements
Jan Andre Rudolph, Dennis Haitz, Markus Ulrich
A novel hand-eye calibration method for ground-observing mobile robots is proposed. While cameras on mobile robots are common, they are rarely used for ground-observing measurement…
Evaluation of Visual Place Recognition Methods for Image Pair Retrieval in 3D Vision and Robotics
Dennis Haitz, Athradi Shritish Shetty, Michael Weinmann +1
Visual Place Recognition (VPR) is a core component in computer vision, typically formulated as an image retrieval task for localization, mapping, and navigation. In this work, we i…
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Dominik Werner Wolf, Alexander Braun, Markus Ulrich
'A trustworthy representation of uncertainty is desirable and should be considered as a key feature of any machine learning method' (Huellermeier and Waegeman, 2021). This conclusi…
Decoupling of neural network calibration measures
Dominik Werner Wolf, Prasannavenkatesh Balaji, Alexander Braun +1
A lot of effort is currently invested in safeguarding autonomous driving systems, which heavily rely on deep neural networks for computer vision. We investigate the coupling of dif…