Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Antonio Grano"'
Publikováno v:
ICCA
We compare the effectiveness of two widely used filters for nonlinear systems, i.e., the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF), in reconstructing the unknown environment where a mobile robot moves. The reconstruction is o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f87df674772663ab9d1a98a1c5de4681
https://doi.org/10.1109/icca.2019.8899946
https://doi.org/10.1109/icca.2019.8899946
Autor:
Antonio Grano, Raffaele Zinno
Publikováno v:
Journal of Civil Structural Health Monitoring. 5:727-733
We present a new system for structural health monitoring. In particular, the reason we have developed the system is related to structural monitoring during (potentially) destructive tests. Structural response is usually sensed by sensors such as acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4606d21ac7cf31c1b084732fc8c8fe6
https://doi.org/10.1007/s13349-015-0139-2
https://doi.org/10.1007/s13349-015-0139-2
Publikováno v:
ECC
This work describes a novel solution to the mapping problem for a mobile robot moving in an unknown indoor environment. The proposed mapping technique provides a cells-based covering of the environment boundaries. No assumptions are made on the cells
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952777a1b11fe809a75a4cf0bcf80cc7
https://doi.org/10.1109/ecc.2015.7330830
https://doi.org/10.1109/ecc.2015.7330830
Publikováno v:
CDC
In this work a novel solution to the Simultaneous Localization and Mapping (SLAM) problem for a mobile robot moving in an unknown indoor environment is proposed. The algorithm uses an Extended Kalman filter and a set of polynomials to map the robot s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c7217e6fc143f51d1f1667a7a83969f
https://doi.org/10.1109/cdc.2014.7040225
https://doi.org/10.1109/cdc.2014.7040225
Publikováno v:
ICAR
In this work the mobile robot localization problem in an unknown environment is faced and a new version of the Extended Kalman filter is proposed to estimate the robot position and orientation. This new filter uses a convex combination of two filters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31fd52d9083f121d118183f3958a42f3
https://doi.org/10.1109/icar.2013.6766450
https://doi.org/10.1109/icar.2013.6766450
Publikováno v:
ICAR
In this work the Simultaneous Localization And Mapping (SLAM) problem for a mobile robot placed in an unknown indoor environment is faced. The environment is modeled as a set of polynomials used as SLAM landmarks. A polynomial based mapping algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::703c23d8cbd8ac0c52d6b1c2a36c53e2
https://doi.org/10.1109/icar.2013.6766462
https://doi.org/10.1109/icar.2013.6766462
Publikováno v:
ICCA
In this work the localization of a mobile robot in an unknown environment is faced. A new version of the Extended Kalman Filter (EKF) is presented. The proposed EKF uses both measurements provided by robot on board and out of board sensors in order t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22d32ea9b51da07f097273027e44a55f
https://doi.org/10.1109/icca.2013.6565004
https://doi.org/10.1109/icca.2013.6565004
Publikováno v:
ICCA
In this work the mobile robot localization problem in an unknown environment is faced. To solve this problem, an Extended Kalman Filter, based on measurements taken from ultrasonic sensors and only on local data, with no assumption on robot's working
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c41b75f44cfec00380f318825523af43
https://doi.org/10.1109/icca.2013.6565163
https://doi.org/10.1109/icca.2013.6565163
Publikováno v:
Scopus-Elsevier
In this paper a novel solution to the Simultaneous Localization and Mapping (SLAM) problem for a team of mobile robots is proposed. The algorithm aims at approximating the robots surrounding environment by a set of polynomials, ensuring high mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b06a478f5a31b6c4da0eb22b245deeb
http://www.scopus.com/inward/record.url?eid=2-s2.0-84929833203&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84929833203&partnerID=MN8TOARS
