Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Ming Cen"'
Publikováno v:
IEEE Access, Vol 8, Pp 111536-111552 (2020)
Tracking maneuvering vehicles in complex dynamic environment is a challenging problem for advanced driver assistance system and autonomous driving systems. Most conventional vehicle tracking algorithms can not model the vehicle dynamic exactly becaus
Externí odkaz:
https://doaj.org/article/5a2554af56b04950a60b63c90bb624a4
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 11, p 782 (2021)
With the popularity of ground and airborne three-dimensional laser scanning hardware and the development of advanced technologies for computer vision in geometrical measurement, intelligent processing of point clouds has become a hot issue in artific
Externí odkaz:
https://doaj.org/article/18e250e0877344819cb4b09501b39286
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3288 (2021)
Since single sensor and high-density point cloud data processing have certain direct processing limitations in urban traffic scenarios, this paper proposes a 3D instance segmentation and object detection framework for urban transportation scenes base
Externí odkaz:
https://doaj.org/article/3636134ad0664d159cc5377582228af0
Publikováno v:
Chronic Diseases and Translational Medicine, Vol 2, Iss 2, Pp 129-134 (2016)
Objective: We used intravascular ultrasound (IVUS) to analyze the features of coronary artery atheromatous plaque in patients with impaired glucose tolerance and mild-to-moderate angiographic coronary stenosis. The aim was to determine the clinical s
Externí odkaz:
https://doaj.org/article/aaccae344a2b4c029ecff8910848cbc2
Publikováno v:
Chronic Diseases and Translational Medicine, Vol 1, Iss 2, Pp 105-109 (2015)
Objective: This study explores the correlation between plasma lipoprotein-associated phospholipase A2 (Lp-PLA2) and coronary heart disease (CHD) by comparing the level of plasma Lp-PLA2 in the plasma of patients with different types of CHD. Methods:
Externí odkaz:
https://doaj.org/article/b878dae196774e59854f66715fca6119
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
Sensors, Vol 19, Iss 12, p 2729 (2019)
In this paper, a robust non-rigid feature matching approach for image registration with geometry constraints is proposed. The non-rigid feature matching approach is formulated as a maximum likelihood (ML) estimation problem. The feature points of one
Externí odkaz:
https://doaj.org/article/de1c7d20e06545389fec9d59b58f21cc