Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Benzun Pious Wisely Babu"'
Publikováno v:
ICRA
Batch optimization based inertial measurement unit (IMU) and visual sensor fusion enables high rate localization for many robotic tasks. However, it remains a challenge to ensure that the batch optimization is computationally efficient while being co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a2cbe4f9d839525e95d4937a7f40b9
https://doi.org/10.1109/icra40945.2020.9197280
https://doi.org/10.1109/icra40945.2020.9197280
Autor:
Chenggang Liu, Benzun Pious Wisely Babu, Felipe Polido, Peng He, Joohyung Kim, X Xinjilefu, Taskin Padir, Xianchao Long, Christoper P. Bove, Aaron Jaeger, Xiongyi Cui, Siyuan Feng, Nandan Banerjee, Joshua P. Graff, Lening Li, Ruixiang Du, Dmitry Berenson, Michael A. Gennert, Kevin Knoedler, Christopher G. Atkeson, Perry Franklin, Mathew DeDonato
Publikováno v:
Journal of Field Robotics. 34:381-399
In the DARPA Robotics Challenge DRC, participating human-robot teams were required to integrate mobility, manipulation, perception, and operator interfaces to complete a simulated disaster mission. We describe our approach using the humanoid robot At
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b878683c56e1e675f48522661bf6ae2
https://doi.org/10.1002/rob.21685
https://doi.org/10.1002/rob.21685
Publikováno v:
ISMAR
Ubiquitous Augmented Reality requires robust localization in complex daily environments. The combination of camera and Inertial Mersurement Unit (IMU) has shown promising results for robust localization due to the complementary characteristics of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9c356d62bcbea8f3beb01a2a3a4cb8a
https://doi.org/10.1109/ismar.2018.00028
https://doi.org/10.1109/ismar.2018.00028
Publikováno v:
ICRA
In this paper, we present a novel method to detect and resolve motion conflicts in visual-inertial odometry. Recently, it has been common to integrate an IMU sensor with visual odometry in order to improve localization accuracy and robustness. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::349af0cec624ff029bb7fe1f0edc2a48
https://doi.org/10.1109/icra.2018.8460870
https://doi.org/10.1109/icra.2018.8460870
Publikováno v:
ISMAR
In this paper we propose a novel method called s-DVO for dense visual odometry using a probabilistic sensor noise model. In contrast to sparse visual odometry, where camera poses are estimated based on matched visual features, we apply dense visual o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4f416df0f228fdf56a1bc878fc70f3
https://doi.org/10.1109/ismar.2016.11
https://doi.org/10.1109/ismar.2016.11
Publikováno v:
UPINLBS
This paper describes the development and evaluation of an indoor localization algorithm using Visual Simultaneous Localization and Mapping (VSLAM) aided by gyroscope sensor information. Indoor environments pose several challenges which could cause a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa6940e82f063f528868605df358b60
https://doi.org/10.1109/upinlbs.2014.7033731
https://doi.org/10.1109/upinlbs.2014.7033731
Publikováno v:
Adaptive Mobile Robotics ISBN: 9789814415941
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07bdeb3b70a070259866f3344e56da57
https://doi.org/10.1142/9789814415958_0085
https://doi.org/10.1142/9789814415958_0085
