Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kourosh Sartipi"'
Publikováno v:
IROS
This paper addresses the problem of learning to complete a scene's depth from sparse depth points and images of indoor scenes. Specifically, we study the case in which the sparse depth is computed from a visual-inertial simultaneous localization and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd72673b1998e25e3ebf87113291a0d
http://arxiv.org/abs/2008.00092
http://arxiv.org/abs/2008.00092
Publikováno v:
ICRA
In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks. Specifically, we employ a dense-optical-flow network to compute correspondences and then triangulate the point cloud to obtain an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1615540ff40b1e7a2656317fa88e7b
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
In this paper, we address the problem of concurrently computing the transformation between multiple, gravity-aligned maps given common point feature observations. In particular, we formulate the problem as a minimization of the distances between shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0f3be3975067f211ce321621a456202
https://doi.org/10.1007/978-3-030-33950-0_61
https://doi.org/10.1007/978-3-030-33950-0_61
Autor:
Joel A. Hesch, Ruipeng Li, Georgios A. Georgiou, Chao X. Guo, Stergios I. Roumeliotis, Kourosh Sartipi, Esha D. Nerurkar, Ryan C. DuToit, John O'Leary
Publikováno v:
IEEE Transactions on Robotics. 34:1349-1369
In this paper, we address the problem of cooperative mapping (CM) using datasets collected by multiple users at different times, when the transformation between the users’ starting poses is unknown. Specifically, we formulate CM as a constrained op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0eda694217b738ff59427ac81a40c50
https://doi.org/10.1109/tro.2018.2858229
https://doi.org/10.1109/tro.2018.2858229
Publikováno v:
IROS
In this paper, we present a novel approach to shared augmented reality (AR) for mobile devices operating in the same area that does not rely on cloud computing. In particular, each user’s device processes the visual and inertial data received from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd54252ba4cb0cbaf3450af8f9b033b
https://doi.org/10.1109/iros40897.2019.8967804
https://doi.org/10.1109/iros40897.2019.8967804
Autor:
Stergios I. Roumeliotis, Georgios A. Georgiou, Chao X. Guo, Esha D. Nerurkar, Ryan C. DuToit, John O'Leary, Kourosh Sartipi, Joel A. Hesch, Ruipeng Li
Publikováno v:
ICRA
In this paper, we address the problem of cooperative mapping (CM) using datasets collected by multiple users at different times, when the transformation between the users' starting poses is unknown. Specifically, we formulate CM as a constrained opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405d76f7a190d8af865a39c7c31f6dd3
https://doi.org/10.1109/icra.2016.7487238
https://doi.org/10.1109/icra.2016.7487238