Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Huansheng Song"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4349-4368 (2023)
Abstract Monocular 3D vehicle localization is an important task for vehicle behaviour analysis, traffic flow parameter estimation and autonomous driving in Intelligent Transportation System (ITS) and Cooperative Vehicle Infrastructure System (CVIS),
Externí odkaz:
https://doaj.org/article/218216c9af7c4a2b8b3df4f922524476
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 4, Pp 459-473 (2022)
Abstract The authors present a fully automatic method for camera calibration in expressway scenes and vehicle localisation on curved roads. Our approach does not depend on specific targets or a priori information and adapts to a wide range of variati
Externí odkaz:
https://doaj.org/article/c8567c4b9c6f41e08f2554ef559d77b5
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 47-59 (2021)
Abstract Recently, the traffic application based on vision in the single traffic‐monitoring scene has been widely studied and developed. However, cross‐regional research is still in its infancy. In order to help solve the application of cross‐r
Externí odkaz:
https://doaj.org/article/219f2bf2f8304ae992c92b70c1531a18
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
In traffic scenarios, vehicle trajectories can provide almost all the dynamic information of moving vehicles. Analyzing the vehicle trajectory in the monitoring scene can grasp the dynamic road traffic information. Cross-camera association of vehicle
Externí odkaz:
https://doaj.org/article/23d15ace3fea46aebee16addd360954f
Publikováno v:
European Transport Research Review, Vol 11, Iss 1, Pp 1-16 (2019)
Abstract Intelligent vehicle detection and counting are becoming increasingly important in the field of highway management. However, due to the different sizes of vehicles, their detection remains a challenge that directly affects the accuracy of veh
Externí odkaz:
https://doaj.org/article/7c6934f380df492db7538cfffd3895d1
Publikováno v:
IEEE Access, Vol 7, Pp 22161-22174 (2019)
This paper devotes to the image compression and encryption problems. We develop a novel hybrid scheme based on block compressive sensing. Concentrate on taking full advantage of the different frequency coefficients sparsity, the nonuniform sampling s
Externí odkaz:
https://doaj.org/article/c62d8d342483417286b582a405cfba17
Publikováno v:
IEEE Access, Vol 7, Pp 64460-64470 (2019)
The continuous development in the construction of transportation infrastructure has brought enormous pressure to traffic control. Accurate and detailed traffic flow information is valuable for an effective traffic control strategy. This paper propose
Externí odkaz:
https://doaj.org/article/55c3e06e8d8045278502348f4b7980d2
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2021 (2021)
Calibration of extrinsic parameters of the RGB-D camera can be applied in many fields, such as 3D scene reconstruction, robotics, and target detection. Many calibration methods employ a specific calibration object (i.e., a chessboard, cuboid, etc.) t
Externí odkaz:
https://doaj.org/article/7bac6456e671468cb612522853b9b0bc
Publikováno v:
Complexity, Vol 2019 (2019)
Real-time and accurate detection of parking and dropping events on the road is important for the avoidance of traffic accidents. The existing algorithms for detection require accurate modeling of the background, and most of them use the characteristi
Externí odkaz:
https://doaj.org/article/4cf026f27ad94cca855b330f61e86ab5
Publikováno v:
Complexity, Vol 2019 (2019)
Nowadays, automatic multi-objective detection remains a challenging problem for autonomous vehicle technologies. In the past decades, deep learning has been demonstrated successful for multi-objective detection, such as the Single Shot Multibox Detec
Externí odkaz:
https://doaj.org/article/5da5dc2dbdfd437591debe53c24013e0