Institution
National University of Defense Technology
Education•Changsha, China•
About: National University of Defense Technology is a education organization based out in Changsha, China. It is known for research contribution in the topics: Radar & Synthetic aperture radar. The organization has 39430 authors who have published 40181 publications receiving 358979 citations. The organization is also known as: Guófáng Kēxuéjìshù Dàxué & NUDT.
Topics: Radar, Synthetic aperture radar, Laser, Fiber laser, Radar imaging
Papers published on a yearly basis
Papers
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TL;DR: The TriSI feature was highly descriptive and outperformed existing algorithms under all levels of Gaussian noise, Laplacian noise, shot noise, varying mesh resolutions, occlusion, and clutter, and the algorithm achieved the best overall recognition results on these datasets.
108 citations
TL;DR: In this paper, the basic mechanism of electrospinning technology and related EMI shielding are introduced, and different fibrous materials directly from electro-spinning for the electromagnetic interference (EMI) shielding are summarized.
Abstract: Owing to the development of electronic information technology, the pollution of electromagnetic wave (EMW) radiation is getting worse. Thus, it is urgent to investigate shielding materials with excellent electromagnetic interference (EMI) shielding properties. Recently, electrospinning has been developed in various fields, and one-dimensional nanofibers prepared by electrospinning can realize the shielding of EMW, due to their outstanding advantages. In this review, at the beginning, the basic mechanism of electrospinning technology and related EMI shielding are introduced. Then, different fibrous materials directly from electrospinning for the EMI shielding are summarized. Next, electrospun EMI shielding composites by different post treatments are discussed. Finally, various influencing factors on the EMI shielding properties are summarized. At the end, conclusions and future perspectives are provided. Hopefully, this review would provide basic understanding on the development of electrospun fibrous materials for EMI shielding, and give the future roadmap for the high performance electrospun fiber-based EMI shields.
108 citations
01 Jun 2015
TL;DR: This paper proposes to fuse the LIDAR and monocular image in the framework of conditional random field to detect the road robustly in challenging scenarios and reaches the state-of-the-art.
Abstract: In this paper, we propose to fuse the LIDAR and monocular image in the framework of conditional random field to detect the road robustly in challenging scenarios. LIDAR points are aligned with pixels in image by cross calibration. Then boosted decision tree based classifiers are trained for image and point cloud respectively. The scores of the two kinds of classifiers are treated as the unary potentials of the corresponding pixel nodes of the random field. The fused conditional random field can be solved efficiently with graph cut. Extensive experiments tested on KITTI-Road benchmark show that our method reaches the state-of-the-art.
107 citations
TL;DR: In this article, a rule surface based model is proposed to describe the undulation characteristics and used as a guide for the biomimetic mechanism design and implementation, and initial experiments are carried out to analyze how undulation dynamics is affected with the morphological parameters (i.e., the asymmetry of waveforms, the fin surface material, and the fin ray length).
107 citations
TL;DR: Experimental results show that the two GRU models proposed in this paper both obtain higher prediction accuracy on these data sets, and the improved version can effectively improve the learning ability of the model.
107 citations
Authors
Showing all 39659 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rui Zhang | 151 | 2625 | 107917 |
| Jian Li | 133 | 2863 | 87131 |
| Chi Lin | 125 | 1313 | 102710 |
| Wei Xu | 103 | 1492 | 49624 |
| Lei Liu | 98 | 2041 | 51163 |
| Xiang Li | 97 | 1472 | 42301 |
| Chang Liu | 97 | 1099 | 39573 |
| Jian Huang | 97 | 1189 | 40362 |
| Tao Wang | 97 | 2720 | 55280 |
| Wei Liu | 96 | 1538 | 42459 |
| Jian Chen | 96 | 1718 | 52917 |
| Wei Wang | 95 | 3544 | 59660 |
| Peng Li | 95 | 1548 | 45198 |
| Jianhong Wu | 93 | 726 | 36427 |
| Jianhua Zhang | 92 | 415 | 28085 |