Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chao X. Guo"'
Autor:
Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo, Ryan C. DuToit, Konstantine Tsotsos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51a1f6226ea9186c14f4cdaeaf785e97
https://doi.org/10.1007/978-3-031-20047-2_32
https://doi.org/10.1007/978-3-031-20047-2_32
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:
ICRA
In this paper, we present a vision-aided inertial navigation system (VINS) for localizing wheeled robots. In particular, we prove that VINS has additional unobservable directions, such as the scale, when deployed on a ground vehicle that is constrain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea1b5f1840fb81090c99f1e4b1a42d0
https://doi.org/10.1109/icra.2017.7989603
https://doi.org/10.1109/icra.2017.7989603
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
Autor:
Stergios I. Roumeliotis, Chao X. Guo
Publikováno v:
IROS
In this paper, we present a linear-complexity 3D inertial navigation algorithm using both point and plane features observed from an RGBD camera. In particular, we study the system's observability properties, and prove that: (i) When observing a singl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbcc0d7f716289ad3a13cdc67e6488c1
https://doi.org/10.1109/iros.2013.6696806
https://doi.org/10.1109/iros.2013.6696806
Publikováno v:
IROS
In this paper, we present an observability analysis of a vision-aided inertial navigation system (VINS) in which the camera is downward looking and observes a single point feature on the ground. In our analysis, the full INS parameter vector (includi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b92c2f44827f8bf0cf5f2e1667e2da8
https://doi.org/10.1109/iros.2013.6696956
https://doi.org/10.1109/iros.2013.6696956
Autor:
Chao X. Guo, Stergios I. Roumeliotis
Publikováno v:
ICRA
In this paper, we address the problem of extrinsically calibrating an inertial measurement unit (IMU) with respect to an RGBD sensor. In particular, we study the observability of the nonlinear IMU-RGBD calibration system and prove that the calibratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be36ed647d66f34482318c74f3866f1
https://doi.org/10.1109/icra.2013.6630984
https://doi.org/10.1109/icra.2013.6630984
Autor:
Chao X. Guo, Stergios I. Roumeliotis
Publikováno v:
ICRA
In this paper, we present an elegant solution to the 2D LIDAR-camera extrinsic calibration problem. Specifically, we develop a simple method for establishing correspondences between a line-scan (2D) LIDAR and a camera using a small calibration target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5873ee011043096227d60347f336b1dc
https://doi.org/10.1109/icra.2013.6630985
https://doi.org/10.1109/icra.2013.6630985