SLAM; definition and evolution

H Taheri, ZC Xia - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …

[HTML][HTML] Vision-guided robot calibration using photogrammetric methods

M Ulrich, C Steger, F Butsch, M Liebe - ISPRS Journal of Photogrammetry …, 2024 - Elsevier
We propose novel photogrammetry-based robot calibration methods for industrial robots that
are guided by cameras or 3D sensors. Compared to state-of-the-art methods, our methods …

Enhanced Checkerboard Detection Using Gaussian Processes

M Hillen, I De Boi, T De Kerf, S Sels… - Mathematics, 2023 - mdpi.com
Accurate checkerboard detection is of vital importance for computer vision applications, and
a variety of checkerboard detectors have been developed in the past decades. While some …

Gaussian processes for 3D measurements

I De Boi - 2024 - repository.uantwerpen.be
Abstract n this dissertation we explore the usage of probabilistic machine learning
techniques for calibrating 3D measuring devices and applications. More specifically, we …

産業用マニピュレータのための全天球カメラを用いた SLAM 統合機構キャリブレーション

田中靖章, 李景輝, 伊藤聡利… - … 講演会講演概要集 2020, 2020 - jstage.jst.go.jp
抄録 Kinematic calibration of industrial manipulators is required for accurate work. Moreover,
it is desirable to measure the environment around the manipulator for collision avoidance …