3,956 research outputs found

    Ego-Lane Analysis System (ELAS): Dataset and Algorithms

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    Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades. The interest in this topic has increased even more with the demand for advanced driver assistance systems (ADAS) and self-driving cars. Although extensively studied independently, there is still need for studies that propose a combined solution for the multiple problems related to the ego-lane, such as lane departure warning (LDW), lane change detection, lane marking type (LMT) classification, road markings detection and classification, and detection of adjacent lanes (i.e., immediate left and right lanes) presence. In this paper, we propose a real-time Ego-Lane Analysis System (ELAS) capable of estimating ego-lane position, classifying LMTs and road markings, performing LDW and detecting lane change events. The proposed vision-based system works on a temporal sequence of images. Lane marking features are extracted in perspective and Inverse Perspective Mapping (IPM) images that are combined to increase robustness. The final estimated lane is modeled as a spline using a combination of methods (Hough lines with Kalman filter and spline with particle filter). Based on the estimated lane, all other events are detected. To validate ELAS and cover the lack of lane datasets in the literature, a new dataset with more than 20 different scenes (in more than 15,000 frames) and considering a variety of scenarios (urban road, highways, traffic, shadows, etc.) was created. The dataset was manually annotated and made publicly available to enable evaluation of several events that are of interest for the research community (i.e., lane estimation, change, and centering; road markings; intersections; LMTs; crosswalks and adjacent lanes). ELAS achieved high detection rates in all real-world events and proved to be ready for real-time applications.Comment: 13 pages, 17 figures, github.com/rodrigoberriel/ego-lane-analysis-system, and published by Image and Vision Computing (IMAVIS

    Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach

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    Correctly identifying crosswalks is an essential task for the driving activity and mobility autonomy. Many crosswalk classification, detection and localization systems have been proposed in the literature over the years. These systems use different perspectives to tackle the crosswalk classification problem: satellite imagery, cockpit view (from the top of a car or behind the windshield), and pedestrian perspective. Most of the works in the literature are designed and evaluated using small and local datasets, i.e. datasets that present low diversity. Scaling to large datasets imposes a challenge for the annotation procedure. Moreover, there is still need for cross-database experiments in the literature because it is usually hard to collect the data in the same place and conditions of the final application. In this paper, we present a crosswalk classification system based on deep learning. For that, crowdsourcing platforms, such as OpenStreetMap and Google Street View, are exploited to enable automatic training via automatic acquisition and annotation of a large-scale database. Additionally, this work proposes a comparison study of models trained using fully-automatic data acquisition and annotation against models that were partially annotated. Cross-database experiments were also included in the experimentation to show that the proposed methods enable use with real world applications. Our results show that the model trained on the fully-automatic database achieved high overall accuracy (94.12%), and that a statistically significant improvement (to 96.30%) can be achieved by manually annotating a specific part of the database. Finally, the results of the cross-database experiments show that both models are robust to the many variations of image and scenarios, presenting a consistent behavior.Comment: 13 pages, 13 figures, 3 videos, and GitHub with model

    O JORNAL A RAZÃO: O VENTRE FECUNDO QUE CRIOU O MODELO DE TOTALITARISMO INTEGRALISTA

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    No presente texto discutiremos as origens Ação Integralista Brasileira (AIB) a partir do jornal A Razão e como ele foi o instrumento ideológico utilizado por Plínio Salgado para organizar posteriormente a AIB. Também analisaremos a gestação de alguns dos principais pontos do discurso integralista a partir da coluna editorial Nota Política mantida por Plínio Salgado. Assim refletiremos sobre a oposição ao liberalismo, comunismo, capitalismo internacional. Também abordaremos a questão do nacionalismo e da simpatia aos modelos fascistas europeus. A partir desses dois pólos entre ideologias consideradas inimigas e aliadas Salgado passa a construir uma identidade política que seria o alicerce do integralismo brasileiro na década de 1930

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    A relação entre a história e a imprensa, breve história da imprensa e as origens da imprensa no Brasil (1808-1930)

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    No presente artigo buscamos apresentar dois elementos importantes para o historiador que se dedica a estudar a imprensa. O primeiro √© a rela√ß√£o entre a hist√≥ria e a imprensa. Em nossa vis√£o, √© uma reflex√£o fundamental tanto para o pesquisador que utiliza a imprensa como objeto de pesquisa como para aquele que se serve dela como fonte. No segundo buscamos compreender a Hist√≥ria da Imprensa, tanto em √Ęmbito global como no Brasil. Esta segunda parte possui um car√°ter nitidamente contextual, e poder√° trazer elementos para aqueles que se dedicam ao estudo da imprensa ou para os pesquisadores que est√£o despertando suas aten√ß√Ķes para a imprensa

    Ensaio sobre ditadura, democracia, liberdade e criminalidade no Brasil Republicano

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    O presente ensaio objetiva fazer uma reflex√£o sobre liberdade e criminalidade em regimes ditatoriais e democr√°ticos ao longo do per√≠odo republicano brasileiro. Abordaremos em linhas gerais a estrutura da sociedade brasileira, o crescimento da popula√ß√£o e a expans√£o das cidades e outros elementos que levaram √† criminalidade aos √≠ndices que assustam a sociedade brasileira. Posteriormente refletimos sobre a criminalidade em cada um desses ‚Äúsistemas‚ÄĚ buscando compreender se a viol√™ncia urbana √© um fen√īmeno com maior incid√™ncia em governos democr√°ticos ou autorit√°rios, ou se as quest√Ķes estruturais e conjunturais t√™m um peso superior do que o sistema pol√≠tico
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