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Recently, hashing based approximate nearest neighbor search has attracted much attention in large scale data search task. Moreover, some cross-modal hashing methods have also been proposed to perform efficient search of different modalities. However, there are still some problems to be further considered. For example, some of them cannot make use of label information, which contains helpful information...
This paper discusses the necessity and importance of the establishment of big data from the current predicament of cable TV industry, and introduces the current situation of the development of big data of Internet and telecommunication industry, and expounds that the cable industry how to deal with and develop big data from many aspects, which ensure that cable industry can have the dominant position...
A new robust lane marking detection algorithm for monocular vision is proposed. It is designed for the urban roads with disturbances and with the weak lane markings. The primary contribution of the paper is that it supplies a robust adaptive method of image segmentation, which employs jointly prior knowledge, statistical information and the special geometrical features of lane markings in the bird's-eye...
Driving assistance system has a significant influence on driving safety, and we introduce an integrated Forward Collision Warning(FCW) system based on monocular vision. In order to reduce the searching region of original image, lane making is presented to establish the ROI firstly. Secondly, hypotheses are extracted using Haar-like feature and Adaboost classifier. To remove false positive detection...
This paper describes a vehicle detection system in dynamic environment based on monocular vision. Vehicles are separated from forward scenes by the proposed system. Hypotheses extracted using Haar-like feature and Adaboost classifier include several non-vehicle regions. In order to remove false positive detections, we apply the SVM-based classifier with HOG feature and HOG symmetry feature to predicate...
In this paper a new lane marking detection algorithm in different road conditions for monocular vision was proposed. Traditional detection algorithms implement the same operation for different road conditions. It is difficult to simultaneously satisfy the requirements of timesaving and robustness in different road conditions. Our algorithm divides the road conditions into two classes. One class is...
While wireless localization technology has rapid development in recent years, the need for a certain number of beacons to accomplish localization and guarantee adequate accuracy is a key challenge. For example, approaches that based on trilateration or AOA (Angle Of Arrival), at least three beacons are needed and adding the number of beacons can improve localization accuracy to some extent. However,...
A real-time obstacle detection system with vision sensors has been developed for Unmanned Surface Vehicle (USV). The system enables the detection and localization of multiple obstacles in the range from 30 to 300 meters on the sea surface. Field tests have proven the performance and reliability of the system to be satisfactory. This paper focuses on the improvement made in the real-time obstacle detection...
An accident with any component failure of the small unmanned aerial vehicle (SUAV) will happen in the operation process. At present the sensor and actuator faults are mostly studied and the damaged body considers very few. The research status of the air dynamics and fault detection and diagnosis (FDD) are firstly introduced in the paper. The methods of the pneumatic parameters and properties on the...
A new nonlinear method is proposed for predicting the mine water inrush. According to the fractal theory, the phase space of time series obtained from the mine water inrush is reconstructed. And the minimum embedding dimension is determined with Cao method, then the minimum embedding dimension is used for the input node of the support vector machines. The prediction model of time series is established...
This paper describes transaction modeling and transactional recovery mechanism in Next Generation Trading System of Shanghai Stock Exchange. Stock trading systems belong to transactional information systems and require high performance and high availability. Firstly, a transaction model for stock trading is defined by a formal language. Secondly, a transactional audit model is proposed to support...
Virtual prototyping widely used in complex product development is concerned with collaboration of multidiscipline and cooperation between several development stages, such as requirement analysis, conceptual design, detail design and engineering design. To reduce the complexity and time span of virtual prototype modeling, an innovative kind of multi-granularity modeling (MGM) framework which gives...
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