Zobrazeno 1 - 10
of 79
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:
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
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:
IEEE Sensors Journal. 20:12282-12294
On-road vehicle tracking is crucial for the development of automated vehicles and advanced driver assistance systems. Most existing tracking algorithms assume that the vehicles move independently without considering the interactions between surroundi
Autor:
Jie Cheng, Yu-lan Zhou, Wei-peng Wu, Xinguang Liu, Xing-dong Xiong, Li-li Liang, Can Chen, Jin-Ming Cen
Publikováno v:
Aging (Albany NY)
CircFOXO3 plays an important role in the pathogenesis of coronary artery disease (CAD). Single nucleotide polymorphisms (SNPs) at circRNA flanking introns may change its back-splicing and influence circRNA formation. Here, we aimed to investigate the