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A new 3D path planning algorithm of unmanned ground vehicle is proposed. First of all, an approach for the complex 3D unstructured scene of outdoor unmanned ground vehicle is structured by Elevation model which has traits of robustness and high-efficiency. Secondly, the Ant colony algorithm to search the best path is employed. Combined with the process costing and group intelligence of Ant colony...
Image segmentation as the processing of partitioning a digital image into multiple segments has wide applications, such as image retrieval, medical inspection, and computer forensics. Clustering methods as one solution are applied on a single or multiple feature spaces of an image, such as color, intensity, or texture, in order to group similar pixels that share certain visual characteristics. Given...
Boosting algorithm is used to improve the accuracy of algorithm in the learning field in recent years. It has been widely used in object detection because of its algorithm is simple, practical and implementation of high efficiency. It's not directly to construct a high precision algorithm, but by learning the many weak classifiers to form a strong classifier, which is different with other algorithms...
The algorithm of the dynamic range control (DRC) was applied in the research of the audio directional system. According to the feature of audio directional system, the implementation of the static curve was modified, and the model of DRC based on simulink was built. The calculation results demonstrate that DRC is an effective optimal method to enhance the main sound and reduce the noise in the audio...
In image clustering, digital images can be represented with a large number of visual features corresponding to a high dimensional data space. Traditional clustering algorithms have difficulty in processing image dataset because of the curse of dimensionality. Moreover, similarity between images is measured by the values of partial features. To discover clusters existing in different subspace is known...
This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II. A new linear breeding operator with lower-dimensional crossover and copy operation is used. By using the lower-dimensional crossover, the complexity of searching is decreased so the algorithm converges faster. The orthogonal crossover increase probability of producing potential superior solutions, which...
This paper presents an improved genetic algorithm for solving conic fitting problem. We first use several parallel small-populations genetic algorithms to obtain initial population, which has better average fitness. The range of mutation operator is also set to be gradually reduced with the growing of generation to guarantee the proportion of outstanding individuals within the population. An experiment...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
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