Zobrazeno 1 - 6
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pro vyhledávání: '"Catalano, Iacopo"'
With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied areas, have become crucial concerns. To address this need, we present
Externí odkaz:
http://arxiv.org/abs/2310.09165
With the increasing use of drones across various industries, the navigation and tracking of these unmanned aerial vehicles (UAVs) in challenging environments (such as GNSS-denied environments) have become critical issues. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2304.12125
Autor:
Yu, Xianjia, Catalano, Iacopo, Morón, Paola Torrico, Salimpour, Sahar, Westerlund, Tomi, Queralta, Jorge Peña
This letter presents a cooperative relative multi-robot localization design and experimental study. We propose a flexible Monte Carlo approach leveraging a particle filter to estimate relative states. The estimation can be based on inter-robot Ultra-
Externí odkaz:
http://arxiv.org/abs/2304.06264
Drones have become essential tools in a wide range of industries, including agriculture, surveying, and transportation. However, tracking unmanned aerial vehicles (UAVs) in challenging environments, such cluttered or GNSS-denied environments, remains
Externí odkaz:
http://arxiv.org/abs/2304.00780
LiDAR has become one of the primary sensors in robotics and autonomous system for high-accuracy situational awareness. In recent years, multi-modal LiDAR systems emerged, and among them, LiDAR-as-a-camera sensors provide not only 3D point clouds but
Externí odkaz:
http://arxiv.org/abs/2303.00277
Autor:
Cueto Zumaya, Carlos Roberto1 (AUTHOR) carlos.r.cuetozumaya@utu.fi, Catalano, Iacopo1 (AUTHOR) iacopo.catalano@utu.fi, Queralta, Jorge Peña1,2 (AUTHOR) jorge.penaqueralta@hest.ethz.ch
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 16, p2974. 26p.
