Výsledky vyhledávání - "Meggiolaro, Marco"

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Proprioceptive State Estimation for Quadruped Robots using Invariant Kalman Filtering and Scale-Variant Robust Cost Functions

Autor: Santana, Hilton Marques Souza, Soares, João Carlos Virgolino, Nisticò, Ylenia, Meggiolaro, Marco Antonio, Semini, Claudio

Accurate state estimation is crucial for legged robot locomotion, as it provides the necessary information to allow control and navigation. However, it is also challenging, especially in scenarios with uneven and slippery terrain. This paper presents

Externí odkaz: http://arxiv.org/abs/2410.05256

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Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation

Autor: Abati, Gabriel Fischer, Soares, João Carlos Virgolino, Medeiros, Vivian Suzano, Meggiolaro, Marco Antonio, Semini, Claudio

The majority of visual SLAM systems are not robust in dynamic scenarios. The ones that deal with dynamic objects in the scenes usually rely on deep-learning-based methods to detect and filter these objects. However, these methods cannot deal with unk

Externí odkaz: http://arxiv.org/abs/2405.02177

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Visual Localization and Mapping in Dynamic and Changing Environments

Autor: Soares, João Carlos Virgolino, Medeiros, Vivian Suzano, Abati, Gabriel Fischer, Becker, Marcelo, Caurin, Glauco, Gattass, Marcelo, Meggiolaro, Marco Antonio

The real-world deployment of fully autonomous mobile robots depends on a robust SLAM (Simultaneous Localization and Mapping) system, capable of handling dynamic environments, where objects are moving in front of the robot, and changing environments,

Externí odkaz: http://arxiv.org/abs/2209.10710

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