Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Guofeng Tong"'
Publikováno v:
Dianxin kexue, Vol 37, Pp 46-56 (2021)
At present, the difficulty of pedestrian detection has been dramatically increased because of some problems, such as the dark or exposed illumination, bad weather, serious occlusion, large difference size of pedestrians and blurred images in complex
Externí odkaz:
https://doaj.org/article/b4f15c13c0ed46b2aa5c428347ab1b1a
Publikováno v:
IEEE Access, Vol 8, Pp 87695-87718 (2020)
Large-scale point clouds scanned by light detection and ranging (lidar) sensors provide detailed geometric characteristics of scenes due to the provision of 3D structural data. The semantic segmentation of large-scale point clouds is a crucial step f
Externí odkaz:
https://doaj.org/article/5f30af0098c847e3a7162e5c85f7d7f7
Publikováno v:
IET Computer Vision, Vol 13, Iss 5, Pp 500-506 (2019)
The objection detection of panoramic image is the key part of street view, intelligent transportation, automatic driving and other technologies. Due to the shortcomings of existing algorithms in detecting panoramic images, firstly a high‐resolution
Externí odkaz:
https://doaj.org/article/0815f9842ae94580b623d1e59e112044
Publikováno v:
IEEE Access, Vol 7, Pp 46522-46537 (2019)
Due to the disorder, sparsity, and irregularity of point clouds, the accurate classification of large-scale point clouds is a challenging problem. Voxelization-based deep learning methods have been applied to point cloud classification and have achie
Externí odkaz:
https://doaj.org/article/21715b90cb97435faff534fed882e857
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 135 (2020)
In outdoor Light Detection and Ranging (lidar)point cloud classification, finding the discriminative features for point cloud perception and scene understanding represents one of the great challenges. The features derived from defect-laden (i.e., noi
Externí odkaz:
https://doaj.org/article/5ed45e5376f9471080cddeb0d5cade6a
Publikováno v:
Applied Sciences, Vol 9, Iss 10, p 2027 (2019)
The capability for recognizing pedestrian semantic attributes, such as gender, clothes color and other semantic attributes is of practical significance in bank smart surveillance, intelligent transportation and so on. In order to recognize the key mu
Externí odkaz:
https://doaj.org/article/fdd3e02e9ee946f5b0d522b5be29536c
Publikováno v:
Applied Sciences, Vol 9, Iss 5, p 951 (2019)
3D point cloud classification has wide applications in the field of scene understanding. Point cloud classification based on points can more accurately segment the boundary region between adjacent objects. In this paper, a point cloud classification
Externí odkaz:
https://doaj.org/article/5d96453281f74243aa35a9dd8e2a7073
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
Omnidirectional images generally have nonlinear distortion in radial direction. Unfortunately, traditional algorithms such as scale-invariant feature transform (SIFT) and Descriptor-Nets (D-Nets) do not work well in matching omnidirectional images ju
Externí odkaz:
https://doaj.org/article/015b53aaf5d04d9c88b11c593f49efec
Autor:
Guofeng Tong, Mingxiu Lin
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
This paper proposes an adaptive iterative learning control strategy integrated with saturation-based robust control for uncertain robot system in presence of modelling uncertainties, unknown parameter, and external disturbance under alignment conditi
Externí odkaz:
https://doaj.org/article/4774df5080b841b58aa2dd93a0deb47f
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
This paper proposes a framework for a virtual entity-based rapid prototype (VERP) to facilitate the design and simulation of humanoid robots. The VERP framework consists of three components: virtual entities, a high-fidelity simulation environment wi
Externí odkaz:
https://doaj.org/article/8ccabf604add4a009310833723ac3af5