Zobrazeno 1 - 7
of 7
pro vyhledávání: '"David Zuñiga-Noël"'
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
The fusion of visual and inertial measurements is becoming more and more popular in the robotics community since both sources of information complement each other well. However, in order to perform this fusion, the biases of the Inertial Measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817ca76d1835cc228bb2defda6eef0f2
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030891305
CAIP (2)
CAIP (2)
In this paper, we present an algorithm for the detection of line segments directly on the original, distorted images captured by calibrated wide-angle, fisheye and omnidirectional cameras. Distorted line segments are detected as convex polygonal chai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b1d02be400411f73a768143f4c59b2
https://doi.org/10.1007/978-3-030-89131-2_39
https://doi.org/10.1007/978-3-030-89131-2_39
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:
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:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Analysis of Images and Patterns
Computer Analysis of Images and Patterns-18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part I
Computer Analysis of Images and Patterns ISBN: 9783030298876
CAIP (1)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Lecture Notes in Computer Science-Computer Analysis of Images and Patterns
Computer Analysis of Images and Patterns-18th International Conference, CAIP 2019, Salerno, Italy, September 3–5, 2019, Proceedings, Part I
Computer Analysis of Images and Patterns ISBN: 9783030298876
CAIP (1)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Depth cameras, typically in RGB-D configurations, are common devices in mobile robotic platforms given their appealing features: high frequency and resolution, low price and power requirements, among others. These sensors may come with significant, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbc5cbd28a2ea2d78d7ce29f73b7e081