Zobrazeno 1 - 10
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pro vyhledávání: '"Yu, Xianjia"'
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
Keypoint detection and description play a pivotal role in various robotics and autonomous applications including visual odometry (VO), visual navigation, and Simultaneous localization and mapping (SLAM). While a myriad of keypoint detectors and descr
Externí odkaz:
http://arxiv.org/abs/2309.10436
The increased data transmission and number of devices involved in communications among distributed systems make it challenging yet significantly necessary to have an efficient and reliable networking middleware. In robotics and autonomous systems, th
Externí odkaz:
http://arxiv.org/abs/2309.07496
Autor:
Morón, Paola Torrico, Salimpour, Sahar, Fu, Lei, Yu, Xianjia, Queralta, Jorge Peña, Westerlund, Tomi
Ultra-wideband (UWB) positioning has emerged as a low-cost and dependable localization solution for multiple use cases, from mobile robots to asset tracking within the Industrial IoT. The technology is mature and the scientific literature contains mu
Externí odkaz:
http://arxiv.org/abs/2305.08532
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
Ultra-wideband (UWB) localization methods have emerged as a cost-effective and accurate solution for GNSS-denied environments. There is a significant amount of previous research in terms of resilience of UWB ranging, with non-line-of-sight and multip
Externí odkaz:
http://arxiv.org/abs/2303.17207
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:
Zhang, Jiaqiang, Keramat, Farhad, Yu, Xianjia, Hern, Daniel Montero, Queralta, Jorge Peña, Westerlund, Tomi
Robotic systems are more connected, networked, and distributed than ever. New architectures that comply with the \textit{de facto} robotics middleware standard, ROS\,2, have recently emerged to fill the gap in terms of hybrid systems deployed from ed
Externí odkaz:
http://arxiv.org/abs/2211.00985
Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer
The role of deep learning (DL) in robotics has significantly deepened over the last decade. Intelligent robotic systems today are highly connected systems that rely on DL for a variety of perception, control, and other tasks. At the same time, autono
Externí odkaz:
http://arxiv.org/abs/2205.15496