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Autori principali: Zach, Juri, Stelldinger, Peer
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2511.19448
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author Zach, Juri
Stelldinger, Peer
author_facet Zach, Juri
Stelldinger, Peer
contents Reliable perception of the environment is a key enabler for autonomous systems, where calibration and localization tasks often rely on robust visual markers. We introduce the PuzzlePole, a new type of fiducial markers derived from the recently proposed PuzzleBoard calibration pattern. The PuzzlePole is a cylindrical marker, enabling reliable recognition and pose estimation from 360° viewing direction. By leveraging the unique combinatorial structure of the PuzzleBoard pattern, PuzzlePoles provide a high accuracy in localization and orientation while being robust to occlusions. The design offers flexibility for deployment in diverse autonomous systems scenarios, ranging from robot navigation and SLAM to tangible interfaces.
format Preprint
id arxiv_https___arxiv_org_abs_2511_19448
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PuzzlePoles: Cylindrical Fiducial Markers Based on the PuzzleBoard Pattern
Zach, Juri
Stelldinger, Peer
Computer Vision and Pattern Recognition
Reliable perception of the environment is a key enabler for autonomous systems, where calibration and localization tasks often rely on robust visual markers. We introduce the PuzzlePole, a new type of fiducial markers derived from the recently proposed PuzzleBoard calibration pattern. The PuzzlePole is a cylindrical marker, enabling reliable recognition and pose estimation from 360° viewing direction. By leveraging the unique combinatorial structure of the PuzzleBoard pattern, PuzzlePoles provide a high accuracy in localization and orientation while being robust to occlusions. The design offers flexibility for deployment in diverse autonomous systems scenarios, ranging from robot navigation and SLAM to tangible interfaces.
title PuzzlePoles: Cylindrical Fiducial Markers Based on the PuzzleBoard Pattern
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2511.19448