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This paper proposes a fast and robust algorithm for traffic sign detection and recognition. The algorithm includes two stages: traffic sign detection and recognition. In the first stage, Adaboost algorithm based red pixels model of speed limit sign in the Lab color space is built. Then the model is used to extract area of latent speed limit signs. After(More)
—Surface reconstruction is one of the main parts of reverse engineering and environment modeling. In this paper a method for reconstruct surface based on Support Vector Machine (SVM) is proposed. In order to overcome the inefficiency of SVM, a feature-preserved nonuniform simplification method is employed to simplify cloud points set. The points set is(More)
Multi-sensor image registration can combine information obtained by multimodality sensors and describe the scene more accurately, thus making it a hot research topic in the field of image processing. In this paper, we propose a novel approach for highly accurate multi-sensor image registration based on undirected graph model. In the proposed approach, the(More)
Vision-based road detection is a key component for autonomous vehicle. Existing techniques could be roughly categorized into two categories: off-line training based algorithms and on-line learning based algorithms. While off-line training based algorithms may not adapt well to the new testing scenario, on-line learning based algorithms may not produce(More)
Unstructured road detection is a key step of the Unmanned Guided Vehicle (UGV) system for road following. However, current vision-based unstructured road detection algorithms are usually affected by continuously changing backgrounds, different road types (shape, color), variable lighting conditions and weather conditions. Therefore, a road distribution(More)
To get sufficient environmental information for a teleoperated unmanned vehicle, a matched image with wide field and high quality image is necessary. Image matching is a key point in image mosaic. And the vast amounts of data and complex calculations make it bottlenecked to get a high speed on mosaicing images. Considering the requirements of real-time(More)
Surface reconstruction based on Support Vector Machine (SVM) is a hot topic in the field of 3-dimension surface construction. But it is difficult to apply this method to cloud points. A reconstruction method based on segmented data is proposed to accelerate SVM regression process from cloud data. First, by partitioning the original sampling data set,(More)
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