Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kejian J. Wu"'
Publikováno v:
ICRA
In this paper, we present a vision-aided inertial navigation system (VINS) for localizing wheeled robots. In particular, we prove that VINS has additional unobservable directions, such as the scale, when deployed on a ground vehicle that is constrain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea1b5f1840fb81090c99f1e4b1a42d0
https://doi.org/10.1109/icra.2017.7989603
https://doi.org/10.1109/icra.2017.7989603
Publikováno v:
ICRA
In this paper, a sliding-window two-camera vision-aided inertial navigation system (VINS) is presented in the square-root inverse domain. The performance of the system is assessed for the cases where feature matches across the two-camera images are p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ab8c9fdd7407b111e801786dcd849a
https://doi.org/10.1109/icra.2017.7989022
https://doi.org/10.1109/icra.2017.7989022
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783319501147
ISER
ISER
In this paper, we present a novel resource-allocation problem formulation for vision-aided inertial navigation systems (VINS) for efficiently localizing micro aerial vehicles equipped with two cameras pointing at different directions. Specifically, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c122c994208c8ac582ff1d69c4b994a1
https://doi.org/10.1007/978-3-319-50115-4_47
https://doi.org/10.1007/978-3-319-50115-4_47
Publikováno v:
Robotics: Science and Systems
In this paper, we present a square-root inverse sliding window filter (SR-ISWF) for vision-aided inertial navigation systems (VINS). While regular inverse filters suffer from numerical issues, employing their square-root equivalent enables the usage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d441658b683c218f8de9ce02aadc934
https://doi.org/10.15607/rss.2015.xi.008
https://doi.org/10.15607/rss.2015.xi.008
Publikováno v:
ICRA
In this paper, we present C-KLAM, a Maximum A Posteriori (MAP) estimator-based keyframe approach for SLAM. As opposed to many existing keyframe-based SLAM approaches, that discard information from non-keyframes for reducing the computational complexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7d0662aeb07847935ad215557e58c9
https://doi.org/10.1109/icra.2014.6907385
https://doi.org/10.1109/icra.2014.6907385
Publikováno v:
IROS
In this paper, we study the problem of hovering (i.e., absence of translational motion) detection and compensation in Vision-aided Inertial Navigation Systems (VINS). We examine the system's unobservable directions for two common hovering conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a91c64097a683ee4947b875a9e1f8a98
https://doi.org/10.1109/iros.2013.6696807
https://doi.org/10.1109/iros.2013.6696807
Publikováno v:
VTC Spring
In this paper, an optimal resource allocation scheme is proposed for multi-user multi-channel cognitive radio networks under imperfect spectrum sensing. The channel dynamic model and the sensing errors are considered together to derive the metric of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39cc1cc57fde7eb551ae68ebe08653e
https://doi.org/10.1109/vetecs.2010.5493676
https://doi.org/10.1109/vetecs.2010.5493676