Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rafael Munoz Salinas"'
Vision-Based Situational Graphs Exploiting Fiducial Markers for the Integration of Semantic Entities
Autor:
Ali Tourani, Hriday Bavle, Deniz Işınsu Avşar, Jose Luis Sanchez-Lopez, Rafael Munoz-Salinas, Holger Voos
Publikováno v:
Robotics, Vol 13, Iss 7, p 106 (2024)
Situational Graphs (S-Graphs) merge geometric models of the environment generated by Simultaneous Localization and Mapping (SLAM) approaches with 3D scene graphs into a multi-layered jointly optimizable factor graph. As an advantage, S-Graphs not onl
Externí odkaz:
https://doaj.org/article/7ecaf936326a4928b072dacc2f700873
Publikováno v:
IEEE Access, Vol 9, Pp 27813-27826 (2021)
Event cameras are a new type of image sensors that output changes in light intensity (events) instead of absolute intensity values. They have a very high temporal resolution and a high dynamic range. In this paper, we propose a method to detect and d
Externí odkaz:
https://doaj.org/article/398c61dea80d4a3fa13b5b021085e87e
Publikováno v:
IEEE Access, Vol 9, Pp 140066-140078 (2021)
Fiducial markers such as QR codes, ArUco, and AprilTag have become very popular tools for labeling and camera positioning. They are robust and easy to detect, even in devices with low computing power. However, their industrial appearance deters their
Externí odkaz:
https://doaj.org/article/46d6cea4af464f20b7c9c96c29e4e901
Publikováno v:
IEEE Access, Vol 7, Pp 22927-22940 (2019)
Object tracking is a key aspect in many applications, such as augmented reality in medicine (e.g., tracking a surgical instrument) or robotics. Squared planar markers have become popular tools for tracking since their pose can be estimated from their
Externí odkaz:
https://doaj.org/article/6115386a5c8141df9fa2ddbb7481cf01
Publikováno v:
IEEE Access, Vol 7, Pp 169908-169919 (2019)
Squared fiducial markers are a powerful tool for camera pose estimation in applications such as robots, unmanned vehicles and augmented reality. The four corners of a single marker are enough to estimate the pose of a calibrated camera. However, they
Externí odkaz:
https://doaj.org/article/22036762608a4b61a474e55f6687a0d7
Publikováno v:
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
IWOBI
2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018-Proceedings
IWOBI
2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018-Proceedings
In this paper, we present an outdoor monocular camera localization system based on artificial markers and test its performance in one of the test gardens of the TrimBot2020 project, in Wageningen. We use ArUco markers to construct a map of the enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb253b8064ba1eff6c302a29fe64ac2