Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images

Author(s):  
Xiao Li ◽  
Huan Ning ◽  
Xiao Huang ◽  
Bahar Dadashova ◽  
Yuhao Kang ◽  
...  
Author(s):  
M. Du ◽  
J. Wang ◽  
C. Jing ◽  
J. Jiang ◽  
Q. Chen

<p><strong>Abstract.</strong> Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has not been fully explored. For the massive image, data model for storage and indexing is an important research issue. Considering multiple cameras and GPS device in the image capturing platform, a hierarchical data model named 3D-Grid is proposed. Massive street view images were stored according to grid ID, GPS time and camera ID. An efficient time indexing algorithm is brought forth to replace the spatial indexing. Real test experiments are conducted in a project, and the validation and feasibility of 3D-Grid including time indexing algorithm were validated.</p>


2012 ◽  
Vol 1 (4) ◽  
pp. 51-54
Author(s):  
Jay B Thakar ◽  
◽  
Vinesh Agrawal

2019 ◽  
Vol 15 (2) ◽  
pp. 125-135
Author(s):  
Tatiana S. Minaeva ◽  
Sergey S. Gulyaev

Introduction. The organization of transport links and the bridge building in cities located on the banks of wide rivers has always been one of the most important tasks of the local administration. The study of the history of bridge building allows not only to trace the process of modernization of different regions of the country, but also to help in solving similar problems of our time. Nevertheless, the history of Russian bridge building is poorly studied. The purpose of the article is to determine the characteristics and features of the organization of bridge building in big cities of the European North of Russia as a way to solve one of the problems of urban infrastructure in the early XX century. Materials and Methods. The sources for this study are the documents of the State archive of the Arkhangelsk region, published documents on the history of Vologda, articles in the local periodicals of the early XX century. The analysis of the studied problem used a systematic approach, the method of economic analysis, historical and historical-comparative methods. Results and Discussion. The building of permanent bridges was a need for the development of Arkhangelsk and Vologda. In Vologda the two wooden bridges were built in the middle of XIX century on city funds and in the future these bridges were repaired or rebuilt. The Arkhangelsk city authorities did not hurry to solve a problem of city infrastructure by own efforts and a long time they used the floating bridge. The lack of experience in the building of large bridges and the desire to save money led to the rapid destruction of the first permanent bridge in Arkhangelsk. Conclusion. The Development of trade and industry in cities of the European North of Russia, such as Arkhangelsk and Vologda, led to the expansion of their territory and the emergence over time, the so-called third parts of the cities. Despite the comparable size of the population of the districts located across the river, the process of connecting them with bridges to the rest of the city went at different rates, which depended on the attitude of the local administration to the problem of urban infrastructure.


2020 ◽  
Vol 2020 (1) ◽  
pp. 78-81
Author(s):  
Simone Zini ◽  
Simone Bianco ◽  
Raimondo Schettini

Rain removal from pictures taken under bad weather conditions is a challenging task that aims to improve the overall quality and visibility of a scene. The enhanced images usually constitute the input for subsequent Computer Vision tasks such as detection and classification. In this paper, we present a Convolutional Neural Network, based on the Pix2Pix model, for rain streaks removal from images, with specific interest in evaluating the results of the processing operation with respect to the Optical Character Recognition (OCR) task. In particular, we present a way to generate a rainy version of the Street View Text Dataset (R-SVTD) for "text detection and recognition" evaluation in bad weather conditions. Experimental results on this dataset show that our model is able to outperform the state of the art in terms of two commonly used image quality metrics, and that it is capable to improve the performances of an OCR model to detect and recognise text in the wild.


2020 ◽  
Vol 18 (4) ◽  
pp. 765-779
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov ◽  
K.V. Zhunusova

Subject. This article explores the basic elements of the engineering infrastructure of smart cities. Objectives. The article aims to systematize theoretical descriptions of the engineering infrastructure of a smart city. Methods. For the study, we used a logical analysis and systematization. Results. The article highlights the main areas of infrastructure development of smart cities. Conclusions. Improving process management mechanisms, optimizing urban infrastructure, increasing the use of digital technologies, and developing socio-economic innovation improve the quality of the urban environment in a digitalized environment. And improving the efficiency of urban planning and security, studying its properties and characteristics, and forming an effective urban information system lead to its functional transformations.


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