Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yuebo Ma"'
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3930 (2024)
High-precision lunar scene 3D data are essential for lunar exploration and the construction of scientific research stations. Currently, most existing data from orbital imagery offers resolutions up to 0.5–2 m, which is inadequate for tasks requirin
Externí odkaz:
https://doaj.org/article/78300f20da104813a4852c2d677565b8
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3063 (2024)
The star sensor boasts the highest accuracy in spacecraft attitude measurement. However, it is vulnerable to disturbances, including high-dynamic motion, stray light, and various in-orbit environmental factors. These disruptions may lead to a signifi
Externí odkaz:
https://doaj.org/article/75f7af0d054348b5ba966657fdac57b1
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2251 (2023)
Star identification plays a key role in spacecraft attitude measurement. Currently, most star identification algorithms tend to perform well only in a scene without noise and are highly sensitive to noise. To solve this problem, this paper proposes a
Externí odkaz:
https://doaj.org/article/22d84689871b4e11ae42c7c2703bc7d7
Publikováno v:
IEEE Access, Vol 7, Pp 139653-139667 (2019)
The key to the docking phase of autonomous aerial refueling missions is the relative pose measurement between the drogue and unmanned aerial vehicles. A novel measurement method for drogue-UAV (unmanned aerial vehicle) relative poses based on monocul
Externí odkaz:
https://doaj.org/article/aaa73d502b3c45f38be78ecaf0feb3ea
Publikováno v:
IEEE Access, Vol 7, Pp 147523-147533 (2019)
In this paper, a robust fundamental matrix estimation method based on epipolar geometric error criterion is proposed. First, the method removes outliers into the computation of the fundamental matrix instead of taking it as an independent processing
Externí odkaz:
https://doaj.org/article/05229e72d36948b482372539aef7db69
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3709 (2021)
Monocular vision is one of the most commonly used noncontact six-degrees-of-freedom (6-DOF) pose estimation methods. However, the large translational DOF measurement error along the optical axis of the camera is one of its main weaknesses, which grea
Externí odkaz:
https://doaj.org/article/41e37a39e58a4fe1b440b32a93ea8fd6
Publikováno v:
Sensors, Vol 21, Iss 17, p 5724 (2021)
Attitude update rate is one of the important indicators of star sensor performance. In order to resolve the problem of the low attitude update rate of star sensors, this paper proposes a star sensor attitude update method based on star point correcti
Externí odkaz:
https://doaj.org/article/e6e6ce0117cd48bb9eec5398cde4593c
Publikováno v:
Sensors, Vol 19, Iss 6, p 1315 (2019)
In this paper, a simple and easy high-precision calibration method is proposed for the LRF-camera combined measurement system which is widely used at present. This method can be applied not only to mainstream 2D and 3D LRF-cameras, but also to calibr
Externí odkaz:
https://doaj.org/article/8a676349a9df45868bc77d8ca327117a
Publikováno v:
Sensors, Vol 18, Iss 6, p 1948 (2018)
This article presents a new sensor fusion method for visual simultaneous localization and mapping (SLAM) through integration of a monocular camera and a 1D-laser range finder. Such as a fusion method provides the scale estimation and drift correction
Externí odkaz:
https://doaj.org/article/7a9a122cd36f46189bf41b8067480861
Publikováno v:
Neural Computing and Applications. 34:13425-13437
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce9138c15a255618780c87b01660e22a
https://doi.org/10.1007/s00521-022-07153-0
https://doi.org/10.1007/s00521-022-07153-0