Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nicky Zimmerman"'
Autor:
Julian Moosmann, Hanna Muller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
Publikováno v:
IEEE Access, Vol 12, Pp 75093-75107 (2024)
This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge systems with a power envelope of a few milliwatts. With experimental measurements, we prese
Externí odkaz:
https://doaj.org/article/6cd963c7576346b18d744e23c4094e9d
Publikováno v:
IEEE Robotics and Automation Letters. 8:176-183
Lifelong localization in a given map is an essential capability for autonomous service robots. In this paper, we consider the task of long-term localization in a changing indoor environment given sparse CAD floor plans. The commonly used pre-built ma
Autor:
Haofei Kuang, Xieyuanli Chen, Tiziano Guadagnino, Nicky Zimmerman, Jens Behley, Cyrill Stachniss
Determining the state of a mobile robot is an essential building block of robot navigation systems. In this paper, we address the problem of estimating the robots pose in an indoor environment using 2D LiDAR data and investigate how modern environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c6d42b64c4adc7f223a562ea57180c9
http://arxiv.org/abs/2210.03113
http://arxiv.org/abs/2210.03113
Autor:
Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Labe, Jens Behley, Cyrill Stachniss
Robust localization in a given map is a crucial component of most autonomous robots. In this paper, we address the problem of localizing in an indoor environment that changes and where prominent structures have no correspondence in the map built at a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e6a34261dc68f4db0a5d2f1cf4d8ea4
Autor:
Alessio Burrello, Luca Benini, Daniele Palossi, Hanna Müller, Nicky Zimmerman, Jerome Guzzi, Luca Maria Gambardella, Alessandro Giusti, Francesco Conti
Publikováno v:
IEEE Internet of Things Journal, 9 (3)
Many emerging applications of nano-sized unmanned aerial vehicles (UAVs), with a few form-factor, revolve around safely interacting with humans in complex scenarios, for example, monitoring their activities or looking after people needing care. Such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be90fe8721e026d2604a5e9e0c65d37
Autor:
Dario Mantegazza, Elia Cereda, Nicky Zimmerman, Luca Maria Gambardella, Alessandro Giusti, Marco Ferri, Daniele Palossi, Jerome Guzzi
Publikováno v:
DCOSS
Deep neural networks (DNNs) are becoming the first-class solution for autonomous unmanned aerial vehicles (UAVs) applications, especially for tiny, resource-constrained, nano-UAVs, with a few tens of grams in weight and subten centimeters in diameter