Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Florian Faion"'
Publikováno v:
IEEE Access, Vol 12, Pp 127212-127223 (2024)
Sensor fusion is an important method for achieving robust perception systems in autonomous driving, Internet of things, and robotics. Most multi-modal 3D detection models assume the data is synchronized between the sensors and do not necessarily have
Externí odkaz:
https://doaj.org/article/dc3c4c3ff98840d1a624a51126c4ed25
We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture. While object detection with transformers has been an active field of research, it has proved difficult to apply such models to point clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6a053783a92374402c1630d00fc79b
Autor:
Daniel Niederlohner, Michael Ulrich, Sascha Braun, Daniel Kohler, Florian Faion, Claudius Glaser, Andre Treptow, Holger Blume
This paper presents a method to learn the Cartesian velocity of objects using an object detection network on automotive radar data. The proposed method is self-supervised in terms of generating its own training signal for the velocities. Labels are o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d99c425be19a2c6d2266caf285468ad8
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 52:2990-3007
This paper presents a novel approach to track a nonconvex shape approximation of an extended target based on noisy point measurements. For this purpose, a novel type of random hypersurface model (RHM) called Level-set RHM is introduced that models th
Publikováno v:
MFI
This study explores the non-parametric estimation of a shape boundary from noisy points in 2D when the sensor characteristics are known. As the underlying shape information is not known, the offered algorithm estimates points on the shape boundary by
Publikováno v:
MFI
In this paper, we propose an algorithm for tracking mobile devices (such as smartphones, tablets, or smartglasses) in a known environment for augmented reality applications. For this purpose, we interpret the environment as an extended object with a
Publikováno v:
MFI
In this paper, we propose a novel approach to track extended objects by incorporating negative information. While traditional techniques to track extended targets use only positive measurements, assumed to stem from the target, the proposed estimator
Autor:
Antonio Zea, Uwe D. Hanebeck, Florian Faion, Jesús Muñoz Morcillo, Caroline Y. Robertson-von Trotha
Publikováno v:
Space and Time Visualisation ISBN: 9783319249407
In this article, a new method for the conservation and dissemination of media art through “synesthetic documentation” is presented. A “synesthetic documentation” is the description and reproduction of complex multisensory information that a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::597238a179b863f9dcbc6fcee995d92a
https://doi.org/10.1007/978-3-319-24942-1_11
https://doi.org/10.1007/978-3-319-24942-1_11
Publikováno v:
SDF
We consider the task of recursively estimating the pose and shape parameters of 3D objects based on noisy point cloud measurements from their surface. We focus on objects whose surface can be constructed by transforming a plane curve, such as a cylin
Publikováno v:
MFI
Modeling 2D extended targets with star-convex Random Hypersurface Models (RHMs) allows for accurate object pose and shape estimation. A star-convex RHM models the shape of an object with the aid of a radial function that describes the distance from t