4,154 research outputs found
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
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
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
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
Ensaio sobre ditadura, democracia, liberdade e criminalidade no Brasil Republicano
O presente ensaio objetiva fazer uma reflexão sobre liberdade e criminalidade em regimes ditatoriais e democráticos ao longo do período republicano brasileiro. Abordaremos em linhas gerais a estrutura da sociedade brasileira, o crescimento da população e a expansão das cidades e outros elementos que levaram à criminalidade aos índices que assustam a sociedade brasileira. Posteriormente refletimos sobre a criminalidade em cada um desses “sistemas” buscando compreender se a violência urbana é um fenômeno com maior incidência em governos democráticos ou autoritários, ou se as questões estruturais e conjunturais têm um peso superior do que o sistema político
A relação entre a história e a imprensa, breve história da imprensa e as origens da imprensa no Brasil (1808-1930)
No presente artigo buscamos apresentar dois elementos importantes para o historiador que se dedica a estudar a imprensa. O primeiro é a relação entre a história e a imprensa. Em nossa visão, é uma reflexão 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 História da Imprensa, tanto em âmbito global como no Brasil. Esta segunda parte possui um caráter nitidamente contextual, e poderá trazer elementos para aqueles que se dedicam ao estudo da imprensa ou para os pesquisadores que estão despertando suas atenções para a imprensa
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