Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Brett Browning"'
Autor:
Phillip J. Durst, Christopher Goodin, Burhman Q. Gates, Christopher L. Cummins, Burney McKinley, Jody D. Priddy, Peter Rander, Brett Browning
Publikováno v:
Journal of Robotics, Vol 2011 (2011)
Simulations provide a safe, controlled setting for testing and are therefore ideal for rapidly developing and testing autonomous mobile robot behaviors. However, algorithms for mobile robots are notorious for transitioning poorly from simulations to
Externí odkaz:
https://doaj.org/article/e40d15849e94436e836008c5a832b6c2
Publikováno v:
IEEE Robotics and Automation Letters. 2:444-451
Feature descriptors are powerful tools for photometrically and geometrically invariant image matching. To date, however, their use has been tied to sparse interest point detection, which is susceptible to noise under adverse imaging conditions. In th
Publikováno v:
IROS
As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning from demonstration (LfD) offers one promising approach, where the robot learns a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b39977cdc12e118688ee58a4b731230
Publikováno v:
ICRA
This paper addresses the challenges and benefits of undergraduate robotics education in technologically underserved communities. We present two robotics courses that the authors designed and taught in Qatar and Ghana. While different in context and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad0854689c2be7c3f0abd56e6483451
Autor:
Gijs Dubbelman, Brett Browning
Publikováno v:
IEEE Transactions on Robotics, 31(5), 1194-1213. Institute of Electrical and Electronics Engineers
In this paper, we analyze and extend the recently proposed closed-form online pose-chain simultaneous localization and mapping (SLAM) algorithm. Pose-chains are a specific type of extremely sparse pose-graphs and a product of contemporary SLAM front-
Publikováno v:
The International Journal of Robotics Research. 34:532-558
Validating the integrity of pipes is an important task for safe natural gas production and many other operations (e.g. refineries, sewers, etc.). Indeed, there is a growing industry of actuated, actively driven mobile robots that are used to inspect
Publikováno v:
Computer Vision – ACCV 2016 ISBN: 9783319541891
ACCV (4)
ACCV (4)
Direct camera tracking is a popular tool for motion estimation. It promises more precise estimates, enhanced robustness as well as denser reconstruction efficiently. However, most direct tracking algorithms rely on the brightness constancy assumption
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f1c3c542b90bcb9609a22b33a4e85c
https://doi.org/10.1007/978-3-319-54190-7_33
https://doi.org/10.1007/978-3-319-54190-7_33
Publikováno v:
Computer Vision – ACCV 2016 ISBN: 9783319541891
ACCV (4)
ACCV (4)
We propose a novel algorithm for the joint refinement of structure and motion parameters from image data directly without relying on fixed and known correspondences. In contrast to traditional bundle adjustment (BA) where the optimal parameters are d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::531f70803de9ab2f80f3128b1a31cf93
https://doi.org/10.1007/978-3-319-54190-7_20
https://doi.org/10.1007/978-3-319-54190-7_20
Autor:
Brett Browning, Hatem Alismail
Publikováno v:
Journal of Field Robotics. 32:723-747
Actuated lidar, where a scanning lidar is combined with an actuation mechanism to scan a three-dimensional volume rather than a single line, has been used heavily in a wide variety of field robotics applications. Common examples of actuated lidar inc
Publikováno v:
3DV
We present an algorithm for robust and real-time visual tracking under challenging illumination conditions characterized by poor lighting as well as sudden and drastic changes in illumination. Robustness is achieved by adapting illumination-invariant