Moving Target Localization Based on Multi-sensor Distance Estimation

2012 ◽  
pp. 151-157
Author(s):  
Zhao Wang ◽  
Chao Zhang ◽  
Zhong Chen
Keyword(s):  
Distance Estimation ◽  
Target Localization ◽  
Moving Target

scholarly journals High-Accuracy Recognition and Localization of Moving Targets in an Indoor Environment Using Binocular Stereo Vision

2021 ◽  
Vol 10 (4) ◽  
pp. 234
Author(s):  
Jing Ding ◽  
Zhigang Yan ◽  
Xuchen We
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Three Dimensional ◽  
Target Localization ◽  
Parallel Structure ◽  
Moving Target ◽  
Target Area ◽  
Moving Targets ◽  
Binocular Stereo Vision ◽  
Binocular Stereo

To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper. A moving target recognition extraction algorithm, which integrates displacement pyramid Horn–Schunck (HS) optical flow, Delaunay triangulation and Otsu threshold segmentation, is presented to separate a moving target from a complex background, called the Otsu Delaunay HS (O-DHS) method. Additionally, a stereo matching algorithm based on deep matching and stereo vision is presented to obtain dense stereo matching points pairs, called stereo deep matching (S-DM). The stereo matching point pairs of the moving target were extracted with the moving target area and stereo deep matching point pairs, then the three dimensional coordinates of the points in the moving target area were reconstructed according to the principle of binocular vision’s parallel structure. Finally, the moving target was located by the centroid method. The experimental results showed that this method can better resist image noise and repeated texture, can effectively detect and separate moving targets, and can match stereo image points in repeated textured areas more accurately and stability. This method can effectively improve the effectiveness, accuracy and robustness of three-dimensional moving target coordinates.

Moving target localization with multistatic radar systems

2008 ◽  
Author(s):  
P.F. Sammartino ◽  
C.J. Baker ◽  
M. Rangaswamy
Keyword(s):  
Target Localization ◽  
Moving Target ◽  
Radar Systems ◽  
Multistatic Radar

An Improved Algebraic Solution for Moving Target Localization in Noncoherent MIMO Radar Systems

2016 ◽  
Vol 64 (1) ◽  
pp. 258-270 ◽  
Author(s):  
Heeseong Yang ◽  
Joohwan Chun
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Algebraic Solution ◽  
Moving Target ◽  
Radar Systems

A novel algebraic solution for moving target localization in multi-transmitter multi-receiver passive radar

2018 ◽  
Vol 143 ◽  
pp. 303-310 ◽  
Author(s):  
Yongsheng Zhao ◽  
Yongjun Zhao ◽  
Chuang Zhao
Keyword(s):  
Target Localization ◽  
Algebraic Solution ◽  
Moving Target ◽  
Passive Radar

Efficient Closed-Form Solution for Moving Target Localization in MIMO Radars With Minimum Number of Antennas

2020 ◽  
Vol 68 ◽  
pp. 2545-2557 ◽  
Author(s):  
Ali Noroozi ◽  
Rouhollah Amiri ◽  
Mohammad Mahdi Nayebi ◽  
Alfonso Farina
Keyword(s):  
Closed Form ◽  
Closed Form Solution ◽  
Form Solution ◽  
Target Localization ◽  
Moving Target ◽  
Minimum Number

Robust Moving Target Localization in Distributed MIMO Radars via Iterative Lagrange Programming Neural Network

2020 ◽  
Vol 20 (21) ◽  
pp. 13007-13017
Author(s):  
Lingxiao Zhu ◽  
Gongjian Wen ◽  
Haibo Song ◽  
Yuanyuan Liang ◽  
Dengsanlang Luo
Keyword(s):  
Neural Network ◽  
Target Localization ◽  
Moving Target
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