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This paper presents a binocular vision-aided inertial navigation system of mobile robot for positioning and navigation in the GPS-denied environment with fuzzy map. The system consists of two common cameras and a low-cost inertial measurement unit (IMU). The stereo camera inertial measurement unit (SC-IMU) hardware is designed and fixed on the mobile robot to collect related data. A novel fusion method...
At present, the desertification disaster is one of the most serious environmental problems in Xinjiang. In order to reduce the huge losses of desertification disaster to the economic development of Xinjiang, at the same time in order to stability and unity of the people of all ethnic groups in Xinjiang, it is necessary to forecast the future trend of desertification changes. In this paper, taking...
One Belt And One Road strategy has brought new opportunities for agricultural development in Xinjiang. Xinjiang should seize the opportunity to speed up the agricultural development. Hailstorm will brought huge losses to agricultural production in Xinjiang. This paper put forward hail cloud identifying new method which combine the radar image intensity and Support Vector Machine (Support Vector Machine,...
The hail is a serious disaster weather of hail cloud with sudden, moving rapidly, the history of life is short, etc. characteristics. These characteristics make the artificial hail forecast is very difficult, so the research is now a hot spot. This paper designs the hail cloud recognition model, the probability of discrimination method, according to the measure analysis and extraction of hail cloud...
A hailstorm forecast method is proposed in the paper. Edge Detect Cellular Neural Network (EDCNN) method is used to extract the edge of cloud radar images. We have detected the texture of the cloud images. Then the texture image has been processed with wavelet transform. The hail data information from the image has been found. We will get approximate detail coefficients, level detail coefficients,...
Edge is one of the basic characteristics of image. Edge detection is a very important step in image analysis, and the cellular neural network is a method that is very effective in edge detection. This article is based on cellular neural networks (cellular neural network, CNN), researching the algorithm of CNN's neighborhood radius equal 2 about the process of image edge detection, expounds the key...
Using Cellular Neural Network edge detection to the image of hail and non hail get the features of extraction edge of the image, get the main feature of image. Two-dimensional wavelet transform for edge detection, get the four discriminant features of each image, With feature data analysis the difference of hail and non hail image, Using the Fisher discriminant method to construct the discriminant...
As a result of the relief image surface pattern shapes are often very complicated, no rules of geometry and detailed, with traditional computer graphics methods is difficult to achieve realistic embossed reproduction effect and the practical processing effect. At present, there are few new theoretical achievements in this field in China. This paper designed a simple method to get the 3 d relief effect...
Meteorological disaster is one of the major natural disasters in the world, the hail is one of the types of meteorological disasters, the affected area is broad, big loss rate and other characteristics, as the current research hot spot. This paper, by using weather radar reflectivity echo intensity of the image, to extract the characteristics of the hail cloud image data, Analysis of hail cloud images...
In traditional prediction methods,we have to overcome the errors when predict for the dynamic data. In this paper, the dynamic prediction theory and moving average forecasting has been combined. We had designed a kind of weighted moving average forecasting method to predict the data of time series. Dynamic weighting parameter has been constructed in the original moving average forecast. The prediction...
Hail is one of the main meteorological disasters in our country, also it is the hot current research. The forecasting of hail is mostly used in the data return from radar. Based on radar return image, using the statistics of the K-means clustering algorithm and cellular neural networks (CNN) algorithm, processing the cloud image, and get the difference between the inside and outside layer outline...
Internet of vehicles is to play an important role in the future intelligent transportation and optimize the VRP (vehicle routing problem) of navigation system. The paper first described the overall traffic navigation architecture of IOT, built the optimal path definition based on the routing's multi quality attributes and user evaluation. Pheromone local and global updating rules are redesigned to...
In this paper, a kind of wipe noise according CNN has been put forward. And the different CNN has been used to process weather image. The first stage is that we provide a method to wipe off the noise from image by a kind of CNN (Cell Nerve Network) template, Half-Toning Cell Nerve Network (HTCNN). It can wipe off the Gaussian noise and Speckle noise. It's in reason from the simulation. Then we try...
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