Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Pablo De Cristóforis"'
Autor:
Facundo Pessacg, Francisco Gómez-Fernández, Matías Nitsche, Nicolás Chamo, Sebastián Torrella, Rubén Ginzburg, Pablo De Cristóforis
Publikováno v:
Forests, Vol 13, Iss 2, p 173 (2022)
In forestry, aerial photogrammetry by means of Unmanned Aerial Systems (UAS) could bridge the gap between detailed fieldwork and broad-range satellite imagery-based analysis. However, optical sensors are only poorly capable of penetrating the tree ca
Externí odkaz:
https://doaj.org/article/baddf544e97949f7abfe574e8e4dc121
ICP covariance estimation for the localization of a differential robot using odometry and laser scan
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
En este trabajo se presenta un método probabilístico para resolver el problema de la localización de un robot diferencial. Se usa el Filtro Extendido de Kalman (EKF) para fusionar la información obtenida por registraciones de mediciones láser me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c993aa0b8f8e887b2815efb6a35ace80
https://rtyc.utn.edu.ar/index.php/rtyc/article/view/805
https://rtyc.utn.edu.ar/index.php/rtyc/article/view/805
Publikováno v:
ECMR
Exploring efficiently an unknown environment with several autonomous agents is a challenging task. In this work we propose an multi-agent Active SLAM method that is able to evaluate a long planning horizon of actions and perform exploration while mai
Visual SLAM is a computationally expensive task, with a complexity that grows unbounded as the size of the explored area increases. This becomes an issue when targeting embedded applications such as on-board localization on Micro Aerial Vehicles (MAV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33819d338e277dea551c8eda7f7e9a43
https://www.sciencedirect.com/science/article/abs/pii/S0921889018304500
https://www.sciencedirect.com/science/article/abs/pii/S0921889018304500
Publikováno v:
Pattern Recognition Letters. 53:118-128
In this paper we present a vision-based navigation system for mobile robots equipped with a single, off-the-shelf camera in mixed indoor/outdoor environments. A hybrid approach is proposed, based on the teach-and-replay technique, which combines a pa
Publikováno v:
ECMR
When targeting embedded applications such as on-board visual localization for small Unmanned Air Vehicles (UAV), available hardware generally becomes a limiting factor. For this reason, the usual strategy is to rely on pure motion integration and/or
Publikováno v:
2017 Eight Argentine Symposium and Conference on Embedded Systems (CASE).
In this paper a new open-source and open-hardware framework for Unmanned Ground Vehicle (UGV) control is described. The hardware is based on CIAA (Computadora Industrial Abierta Argentina) and Arduino modules while the software is based on NuttX real
Publikováno v:
Journal of Real-Time Image Processing. 11:335-348
In this work, we present a new real-time image-based monocular path detection method. It does not require camera calibration and works on semi-structured outdoor paths. The core of the method is based on segmenting images and classifying each super-p
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
IROS
instname
IROS
This paper describes a visual SLAM system based on stereo cameras and focused on real-time localization for mobile robots. To achieve this, it heavily exploits the parallel nature of the SLAM problem, separating the time-constrained pose estimation f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f54173dce2b22845a16d82f8e4ffb374
http://zaguan.unizar.es/record/36753
http://zaguan.unizar.es/record/36753
Publikováno v:
ECMR
We present an evaluation of standard image features in the context of long-term visual teach-and-repeat mobile robot navigation, where the environment exhibits significant changes in appearance caused by seasonal weather variations and daily illumina