Railway Fastener Positioning Method Based on Improved Census Transform

2018 ◽  
Vol 6 (2) ◽  
pp. 163-171
Author(s):  
Chunming Wu ◽  
Hongkuo Zheng
Keyword(s):  
Census Transform ◽  
Positioning Method

Subtraction-Based General Forward Obstacle Detection from In-Vehicle Camera Images using Extended Census Transform

2016 ◽  
Vol 136 (4) ◽  
pp. 588-589
Author(s):  
Haruya Kyutoku ◽  
Daisuke Deguchi ◽  
Tomokazu Takahashi ◽  
Yoshito Mekada ◽  
Ichiro Ide ◽  
...  
Keyword(s):  
Obstacle Detection ◽  
Census Transform

STUDY OF THE LANDSLIDE MORPHOLOGY BASED ON GNSS DATA AND AIRBORNE SOUNDING (ON THE EXAMPLE OF A SECTION OF THE PROTVA RIVER VALLEY)

2018 ◽  
Vol 12 (5-6) ◽  
pp. 50-57 ◽  
Author(s):  
I. S. Voskresensky ◽  
A. A. Suchilin ◽  
L. A. Ushakova ◽  
V. M. Shaforostov ◽  
A. L. Entin ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
Geodetic Network ◽  
Aerial Survey ◽  
River Valley ◽  
Ease Of Use ◽  
Digital Elevation ◽  
Loose Deposits ◽  
Positioning Method ◽  
Landslide Body ◽  
Elevation Model

To use unmanned aerial vehicles (UAVs) for obtaining digital elevation models (DEM) and digital terrain models (DTM) is currently actively practiced in scientific and practical purposes. This technology has many advantages: efficiency, ease of use, and the possibility of application on relatively small area. This allows us to perform qualitative and quantitative studies of the progress of dangerous relief-forming processes and to assess their consequences quickly. In this paper, we describe the process of obtaining a digital elevation model (DEM) of the relief of the slope located on the bank of the Protva River (Satino training site of the Faculty of Geography, Lomonosov Moscow State University). To obtain the digital elevation model, we created a temporary geodetic network. The coordinates of the points were measured by the satellite positioning method using a highprecision mobile complex. The aerial survey was carried out using an unmanned aerial vehicle from a low altitude (about 40–45 m). The processing of survey materials was performed via automatic photogrammetry (Structure-from-Motion method), and the digital elevation model of the landslide surface on the Protva River valley section was created. Remote sensing was supplemented by studying archival materials of aerial photography, as well as field survey conducted immediately after the landslide. The total amount of research results made it possible to establish the causes and character of the landslide process on the study site. According to the geomorphological conditions of formation, the landslide refers to a variety of landslideslides, which are formed when water is saturated with loose deposits. The landslide body was formed with the "collapse" of the blocks of turf and deluvial loams and their "destruction" as they shifted and accumulated at the foot of the slope.

Research on recognition and positioning method of rail landmark in single gauge image

2011 ◽  
Vol 25 (4) ◽  
pp. 309-314
Author(s):  
Baoqing Guo ◽  
Xi’ning Xu ◽  
Zujun Yu
Keyword(s):  
Positioning Method

Underwater Terrain Matching Positioning Method Based on MLE for AUV

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 559 ◽  
Author(s):  
Xiaolong CHEN ◽  
Yongjie PANG ◽  
Ye LI ◽  
Pengyun CHEN
Keyword(s):  
Positioning Method ◽  
Terrain Matching

WLAN indoor positioning method based on gradient boosting and particle filtering

2019 ◽  
Vol 14 (6) ◽  
pp. 535
Author(s):  
Libin Hu ◽  
Zhongtao Li ◽  
Xinghai Yang ◽  
Changzhi Wei
Keyword(s):  
Particle Filtering ◽  
Indoor Positioning ◽  
Gradient Boosting ◽  
Positioning Method

scholarly journals A Network-based Positioning Method to Locate False Base Stations

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Leyli Karacay ◽  
Zeki Bilgin ◽  
Ayse Bilge Gunduz ◽  
Pinar Comak ◽  
Emrah Tomur ◽  
...  
Keyword(s):  
Base Stations ◽  
Positioning Method
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