Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ruben Gomez-Ojeda"'
Publikováno v:
The International Journal of Robotics Research. 39:1052-1060
This article presents a visual–inertial dataset gathered in indoor and outdoor scenarios with a handheld custom sensor rig, for over 80 min in total. The dataset contains hardware-synchronized data from a commercial stereo camera (Bumblebee®2), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef30d1846b274b184dca943479b4b68
https://doi.org/10.1177/0278364920938439
https://doi.org/10.1177/0278364920938439
Autor:
Francisco-Angel Moreno, Davide Scaramuzza, David Zuñiga-Noël, Javier Gonzalez-Jimenez, Ruben Gomez-Ojeda
Publikováno v:
IEEE Transactions on Robotics. 35:734-746
Traditional approaches to stereo visual simultaneous localization and mapping (SLAM) rely on point features to estimate the camera trajectory and build a map of the environment. In low-textured environments, though, it is often difficult to find a su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33dcc691a921c7f84937efd1b8171541
https://doi.org/10.1109/tro.2019.2899783
https://doi.org/10.1109/tro.2019.2899783
Publikováno v:
IROS
This paper describes a method that corrects errors of a VSLAM-estimated trajectory for cars driving in GPS-denied environments, by applying constraints from public databases of geo-tagged images (Google Street View, Mapillary, etc). The method, dubbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44a22d95fd7936092bfa563aa3de4bb9
https://doi.org/10.1109/iros45743.2020.9341451
https://doi.org/10.1109/iros45743.2020.9341451
Publikováno v:
Pattern Recognition Letters, 92, 89-95. ELSEVIER SCIENCE BV
A convolutional neural network embedding to perform place recognition is introduced.A triplet similarity loss is chosen to allow for weakly supervised training.The network is trained with triplets of images presenting seasonal or other changes.The me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75f240913612a07e5c5cff6b92d4db6c
https://research.rug.nl/en/publications/4743d0ea-7b0c-49f5-a699-72335f3e0624
https://research.rug.nl/en/publications/4743d0ea-7b0c-49f5-a699-72335f3e0624
Publikováno v:
IEEE Robotics and Automation Letters
In order to fuse measurements from multiple sensors mounted on a mobile robot, it is needed to express them in a common reference system through their relative spatial transformations. In this paper, we present a method to estimate the full 6DoF extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be0c079923655a00d5ac5b0657c16547
Publikováno v:
ICRA
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Point-based stereo visual odometry systems typically estimate the camera motion by minimizing a cost function of the projection residuals between consecutive frames. Under some mild assumptions, such minimization is equivalent to maximizing the proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::338d6ef620888128eb3ec2a745bf0346
http://hdl.handle.net/10630/14376
http://hdl.handle.net/10630/14376
Publikováno v:
ICRA
University of Zurich
University of Zurich
One of the main open challenges in visual odometry (VO) is the robustness to difficult illumination conditions or high dynamic range (HDR) environments. The main difficulties in these situations come from both the limitations of the sensors and the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1369cbfa4f7146e948876c1017a7ac40
Publikováno v:
IROS
Most approaches to visual odometry estimates the camera motion based on point features, consequently, their performance deteriorates in low-textured scenes where it is difficult to find a reliable set of them. This paper extends a popular semi-direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d853900b4148b66b2363ea4e7695f2aa
https://doi.org/10.1109/iros.2016.7759620
https://doi.org/10.1109/iros.2016.7759620
Publikováno v:
ICRA
Most approaches to stereo visual odometry reconstruct the motion based on the tracking of point features along a sequence of images. However, in low-textured scenes it is often difficult to encounter a large set of point features, or it may happen th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9018354b9d995c0cda90b4005fe7d04
https://doi.org/10.1109/icra.2016.7487406
https://doi.org/10.1109/icra.2016.7487406
Publikováno v:
ICRA
Robots are often equipped with 2D laser-rangefinders (LRFs) and cameras since they complement well to each other. In order to correctly combine measurements from both sensors, it is required to know their relative pose, that is, to solve their extrin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7f396c962e709d92736ade184025f6f
https://doi.org/10.1109/icra.2015.7139700
https://doi.org/10.1109/icra.2015.7139700