We present a novel method for visual mapping and localization autonomous vehicles, by extracting, modeling, optimizing semantic road elements. Specifically, our integrates cascaded deep models to detect standardized elements instead of traditional point features, seek improved pose accuracy map representation compactness. To utilize the structural we model lights signs their representative keyp...

Text classification is a major task of NLP (Natural Language Processing) and has been the focus attention for years. News as branch text characterized by complex structure, large amounts information long length, which in turn leads to decrease accuracy classification. To improve Chinese news texts, we present model based on multi-level semantic features. First, add category correlation coeffici...

Many works in the recent literature introduce semantic mapping methods that use CNNs (Convolutional Neural Networks) to recognize properties images. The types of (eg.: room size, place category, and objects) their classes kitchen bathroom, for category) are usually predefined restricted a specific task. Thus, all visual data acquired processed during construction maps lost only recognized remai...