Smart city CIM real-time imaging method with image semantic perception
A city and image technology, applied in image data processing, graphics and image conversion, 3D modeling, etc., can solve the problems of non-real-time performance and long production cycle, so as to avoid invalid affine transformation, improve accuracy and calculate high efficiency Effect
Inactive Publication Date: 2020-10-16
郑州迈拓信息技术有限公司
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AI Technical Summary
Problems solved by technology
[0004] At present, in terms of urban imaging, texture maps are drawn on the 3D model or the captured pictures are assigned to the model, which requires manual operation, is not real-time, and has a long production cycle
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Embodiment 1
[0044] Urban construction should seize the convenience brought by technology, rely on BIM and other information technology, build a city-specific CIM model, continuously integrate resources, identify positioning, explore new paths for smart city construction, and improve urban service levels and service quality.
[0045] As the development goal of urban construction in the new era, the construction of new infrastructure refers to the construction of new infrastructure represented by 5G, artificial intelligence, industrial Internet, and Internet of Things, which is essentially an infrastructure for information digitization.
[0046] First construct the CIM city information model and the internal relationship of the information exchange module.
[0047] CIM refers to the organic synthesis of three-dimensional urban space model and building information based on urban information data, mainly composed of urban GIS data and BIM data.
[0048] The information exchange module mainly ...
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The invention discloses a smart city CIM real-time imaging method with image semantic perception. The method comprises the following steps: constructing a city information model of a three-dimensionaldigital space; performing key point labeling and identity labeling on each vehicle in the sample set image, and training a vehicle key point detection encoder and a decoder; inputting an image acquired by the camera in real time into a vehicle key point detection encoder and a decoder to obtain a vehicle key point thermodynamic diagram and an identity labeling diagram; judging whether the rectangular area of the vehicle coincides or not and performing affine transformation according to a judgment result; poisson fusion is carried out on the vehicle top view image and a background image collected by a camera; and performing image splicing on Poisson fusion results of the road cameras to form a complete region image, projecting the complete region image into the CIM, and visualizing variousinformation of the CIM. Real-time smart city road vehicle imaging is realized, the robustness is good, the calculated amount is low, the quality of the obtained real-time imaging result is higher, and the visualization effect is better.
Description
technical field [0001] The invention relates to the technical fields of artificial intelligence, smart city and CIM, in particular to a CIM real-time imaging method for a smart city with image semantic perception. Background technique [0002] At present, the global information technology is developing at an accelerated rate, and the status of information technology in the national economy is becoming increasingly prominent. The construction of smart cities has important strategic significance for the overall improvement of a country's comprehensive competitiveness. [0003] The emergence of smart cities stems from the new generation of information technology represented by the Internet of Things, cloud computing, mobile Internet, and artificial intelligence and the open urban innovation ecology that is gradually bred under the environment of a knowledge society. Smart city emphasizes the use of a new generation of information technology and the integration of various commun...
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IPC IPC(8): G06T17/00G06K9/00G06K9/32G06T3/40
CPCG06T17/00G06T3/4038G06V20/39G06V20/54G06V10/25G06V2201/08
Inventor 赵丹
Owner 郑州迈拓信息技术有限公司